Are you looking for a trusted big data company to turn your raw data into valuable assets? We evaluated authentic client testimonials and comprehensive case studies to help businesses like yours discover premier data analytics companies. Explore our directory and tailor your search by budget, industry, reviews, and more.
After evaluating over 700 agencies, we've curated this list of top 10 big data companies based on their core capabilities, notable achievements, client satisfaction, pricing transparency, and industry accolades. Examine their specializations and success stories to find the ideal partner for your data analytics needs.
Table of Contents
The Number 1 Big Data Company as Selected by DesignRush Is...
1. ScienceSoft - Best for enterprises seeking secure, ISO-certified data analytics
- Best for: Overall
- Average hourly rate: $50
- Minimum budget: Inquire
- Founded: 1989
- Size: 500-999
- Location: McKinney, TX
- Notable clients: Walmart, Nestle, eBay, Rakuten Viber, T-Mobile
ScienceSoft is a leading big data company providing comprehensive solutions, including consulting, implementation, support, and maintenance. It specializes in designing scalable architectures using technologies like Apache Kafka and Amazon Redshift to enable real-time analytics and data-driven forecasting. A standout example of its work is the development of a centralized data analytics solution for a multi-business corporation, which provided a 360-degree customer view and optimized stock management across 10,500 stores. ScienceSoft's big data solutions are distinguished by their ISO 9001-certified quality management system and ISO 27001-certified security management system, ensuring top-notch service quality and robust data protection.
ScienceSoft Success Story
- Challenge: A market research company faced limitations with its existing analytical system, which couldn’t handle the growing data volume at a faster rate. The client sought a solution to handle vast data sets for comprehensive advertising channel analysis.
- Solution: ScienceSoft collaborated closely with the customer's BI architects to migrate to a new system. This involved implementing Apache Hadoop for data storage, Apache Hive for aggregation, and Apache Spark for processing on cloud platforms like AWS and Azure. The project included five main modules, covering data preparation, staging, two data warehouses, and a dedicated desktop application.
- Results: Thanks to the efforts of the big data company, the new system achieved query processing speeds up to 100 times faster than the previous system — far exceeding the typical 5-fold improvements seen in industry benchmarks. This breakthrough enabled detailed analysis of nearly 30,000 attributes. It empowered the customer to conduct in-depth advertising channel analysis across different markets while improving decision-making and operational efficiency.
Check ScienceSoft Agency Profile
2. InData Labs - Ideal for AI-driven big data solutions with scalable, automated infrastructure
- Best for: Cloud-native data analysis
- Average hourly rate: $65
- Minimum budget: $10,000-$25,000
- Founded: 2014
- Size: 50-99
- Location: Nicosia, Cyprus
- Notable clients: Reverse Ads, Flo Fem, Captiv8, GSMA, Extrance
InData Labs is a top big data company specializing in AI-powered analytics and custom data solutions. It offers consulting, development, and integration services to help businesses leverage big data for smarter decision-making. The company builds scalable, automated infrastructures with CI/CD pipelines and serverless technology to reduce costs and enhance performance. Using technologies like Apache Spark and AWS, it enables real-time insights through advanced BI, AI, and DataOps services. InData Labs has helped businesses improve customer retention with predictive analytics, optimizing operations and turning data into business value.
InData Labs Success Story
- Challenge: ReverseAds needed a scalable system to process 50TB of monthly user data, efficiently analyze millions of web pages with access restrictions, and generate real-time user segments for targeted ad campaigns.
- Solution: InData Labs developed a stand-alone system using AWS Cloud, semantic analysis, and machine learning to analyze user behavior, prioritize web pages, and integrate seamlessly with the client’s advertising platform via API. The solution that the big data company used incorporated caching, AWS SQS, and EBS to improve data processing and segment updates while optimizing embedding calculations for faster performance.
- Results: The AWS-based system enabled ReverseAds to create relevant user segments, reducing advertising costs by 54%. It efficiently processed vast amounts of data and provided real-time updates, ensuring ads reached the most relevant audiences while minimizing wasted ad spend.
Check InData Labs Agency Profile
3. Sigma Software - Ideal for high-load big data solutions with real-time analytics
- Best for: Real-time data analytics
- Average hourly rate: $40
- Minimum budget: $1,000-$10,000
- Founded: 2002
- Size: 1,000 & Up
- Location: Lviv, Ukraine
- Notable clients: AOL, AstraZeneca, SAS, IGT, Knorr-Bremse
Sigma Software is a global big data company specializing in high-load data platforms, real-time analytics, and predictive modeling. With over 20 years of experience, it has delivered solutions for Fortune 500 companies and startups alike. Its proprietary frameworks accelerate project timelines, while AWS- and Azure-powered architectures ensure scalability. The company has built platforms processing over 120TB of data daily and handling 2.5 million events per second. Sigma Software operates multiple offices worldwide, providing advanced data warehousing, BI, and cloud-based analytics.
Sigma Software Success Story
- Challenge: Media company, AOL, needed to adapt a newly acquired video ad platform to its ecosystem while scaling it to handle massive data volumes. The platform had to support millions of users and billions of video plays, requiring a robust real-time analytics and reporting system.
- Solution: Sigma Software developed a high-load data processing system using AWS Cloud-based infrastructure and microservice architecture that reduced data latency from 2 hours to 5 minutes. The data analytics company created a big data analytics platform and an advanced ad hoc reporting system capable of processing 2.5 million events per second, with features like real-time analytics, custom reporting, and flexible campaign configuration.
- Results: Sigma Software provided a scalable ad-serving environment that processes 26 terabytes (TB) of data daily and reduces report generation time to just 1.5 minutes. The platform is used globally by over 30,000 companies, significantly enhancing AOL's ad campaign capabilities.
Check Sigma Software Agency Profile
4. Unicsoft - Best for companies seeking AI-powered predictive analytics and accurate BI insights
- Best for: Sentiment analysis
- Average hourly rate: $50
- Minimum budget: $50,000 & Up
- Founded: 2005
- Size: 100-249
- Location: London, United Kingdom
- Notable clients: AlphaWallet, CDK Global, Publicis Groupe, Octagon, IOTA
As a big data company, Unicsoft helps businesses gain a competitive edge by transforming raw data into valuable insights. It specializes in predictive analytics, using machine learning and AI algorithms to achieve 73%-90% accuracy. The data analytics company is also an expert in blockchain technology, leveraging big data to enhance security, transparency, and efficiency in decentralized systems. Additionally, the data analytics company tailors automation solutions for data cleaning, processing, structuring, management, and visualization, all backed by robust encryption and security architecture.
Unicsoft Success Story
- Challenge: A Central European eCommerce merchant needed help from a big data company to design a tool to analyze customer feedback on purchased goods. The solution was envisioned to detect and categorize customer sentiments from social postings into three main groups — positive, negative, and neutral.
- Solution: Unicsoft conducted data cleaning and munging, followed by word tokenization and semantics defining using natural language toolkit (NLTK). The big data company also brought in a section of manual business logics, including language specifics, abbreviation, collocations and vernacular expression. Alongside with NLP and semantic analysis, the data analytics company used Data Science techniques, including a set of demographic features, summing it all up into a complex analytical solution.
- Results: Using semantic analysis, the client was able to decipher the tone and temperament across the feedback comments, helping it uncover areas of improvement across its retail operations. Additionally, Unicsoft helped the client define its marketing and sales strategies, leading to a 10% revenue increase within one year.
5. Oxagile - Best for businesses seeking a full-service, custom big data solutions partner
- Best for: Data visualization solutions
- Average hourly rate: $50
- Minimum budget: $25,000-$50,000
- Founded: 2005
- Size: 250-499
- Location: New York City, NY
- Notable clients: Vodafone, Kaltura, Discovery, Orange, AIIR Analytics
Oxagile provides advanced big data development services, including data engineering, analytics, visualization, migration, and AI-powered solutions. It specializes in building scalable ETL/ELT pipelines, deploying data warehouses, and optimizing BI systems. Its proprietary solutions enable smooth cloud migrations and AI-driven data processing. With 17+ years of experience and 500+ experts, the big data company has delivered 450+ successful projects. The data analytics company serves industries like AdTech, eCommerce, healthcare, and finance, helping clients maximize data value with customized, high-performance big data solutions.
Oxagile Success Story
- Challenge: An over-the-top (OTT) TV platform specializing in sports and entertainment needed a monitoring solution to analyze real-time and historical user data for better video delivery, infrastructure improvements, and ad targeting. Therefore, it decided to find one of the best data analytics companies to address the challenge.
- Solution: Oxagile developed a quality of service (QoS)/quality of experience (QoE) monitoring solution capable of processing large volumes of data. The data analytics company created a system that included features for user behavior analysis, statistics gathering, data visualization, and dashboard segmenting audience distribution by country, device, and number of users.
- Results: Thanks to the big data company’s solution, the client was able to devise a multi-content delivery network (CDN) strategy that cut costs by 47%, while segmented ad campaigns increased CTR by 58%. The client gained data-driven insights to expand into new markets and maximize revenue.
6. ThirdEye Data - Ideal for end-to-end data pipeline solutions to streamline data integration, processing, and analytics
- Best for: Data pipeline creation
- Average hourly rate: $55
- Minimum budget: $25,000-$50,000
- Founded: 2010
- Size: 50-99
- Location: San Jose, CA
- Notable clients: AbsolutData, Walmart, AWS, Google, Nokia
ThirdEye is a top-rated big data company with deep expertise in data infrastructure, analytics, and governance. It provides big data solutions designed to meet the complex needs of major industries. The company specializes in end-to-end data pipeline development, integration, and big data implementations using tools like Hadoop, Spark, and NoSQL. ThirdEye’s solutions optimize total cost of ownership (TCO) while ensuring scalability and high performance. It has helped enterprises improve conversion rates by up to 30% through real-time analytics, advanced ETL processes, and cloud-based data management.
ThirdEye Data Success Story
- Challenge: AbsolutData tasked ThirdEye Data with developing a conversion-optimization platform that would cater to Software-as-a-Service (SaaS) companies and help them advance their sales funnels.
- Solution: ThirdEye Data developed the NAVIK Converter application on the Google Cloud Platform. The data analytics company also assessed and identified the optimal cloud solution for AbsolutData, concluding that Google Cloud Platform (GCP) was the best fit. The big data company opted for GCP on account of its superior computational performance, fast cluster spin-up/down times, and greater network bandwidth for efficient data movement in MapReduce computations.
- Results: Before the official launch, AbsolutData tested the application with two of its clients. One of the test parties achieved a 30% increase in its free-to-paid conversion rate, and the second boosted its bill-through rate on free trial signups by 5%. Essentially, the big data company helped AbsolutData reduce its time-to-market and endure rapid industry adoption.
Check ThirdEye Data Agency Profile
7. Datamatics - Ideal for businesses seeking cost-efficient, scalable data lake solutions to unify diverse data
- Best for: Data lake building
- Average hourly rate: $30
- Minimum budget: Inquire
- Founded: 2005
- Size: 1,000 & Up
- Location: Edison, NJ
- Notable clients: Accenture, Micromax, OLA, Boston Marathon, Lacoste
Datamatics is a big data company specializing in Data Lake solutions, helping enterprises integrate and manage large-scale data across on-premise and cloud environments. Its optimized Data Lake architecture cuts data loading time from 3 hours to just 5 minutes, improving efficiency and real-time access. Committed to data democracy, it offers proprietary AI/ML products for advanced analytics, including Datamatics TruBI for data visualization. Datamatics also provides big data consulting, development, and maintenance, delivering actionable insights through self-service dashboards and cognitive analytics for a competitive edge.
Datamatics Success Story
- Challenge: A global retail conglomerate requested assistance from one of the best big data companies to set up a system for storing and processing massive data volumes. Complementary to the data processing solution, the client requested automated analytics to generate timely, actionable insights and reduce report turnaround time.
- Solution: Datamatics assessed the client’s data infrastructure and recommended an IBM Netezza Appliance implementation for the big data storage and analysis activities. The big data company also deployed SAP BODI for a robust ETL process, ensuring seamless synchronization with the client’s existing system applications and products (SAP) system.
- Results: The partnership with Datamatics resulted in reduced data loading time from 3 hours to 5 minutes and improved report update performance by 90%. It also decreased report generation time to 30 seconds, which originally took 15-20 minutes.
Check Datamatics Agency Profile
8. Engine Analytics - Ideal for businesses wanting to boost ROI through predictive analytics and data automation
- Best for: Integrated revenue analytics
- Average hourly rate: $100
- Minimum budget: $10,000-$25,000
- Founded: 2023
- Size: Under 49
- Location: Singapore, Singapore
- Notable clients: Bosco Legal Services Inc., VS Qloud Solution GmbH, Growstart snc., Altura Digital Solutions
Engine Analytics is a Singapore-based big data startup company transforming how businesses harness data. Its DAaaS (Data Analytics as a Service) model helps companies save up to 50% on data team costs. The agency offers services, such as automated data pipelines, AI-powered predictive analytics, and interactive business dashboards. Engine Analytics specializes in machine learning, cloud engineering, and custom data solutions. With a strong focus on innovation, it provides scalable, industry-specific analytics, delivering over 30% efficiency and 300% ROI for clients.
Engine Analytics Success Story
- Challenge: A leading U.S. cyber law firm needed better insights from its database to track revenue trends, job efficiency, and client interactions. Its existing system stored data effectively but lacked analytical capabilities for strategic decision-making.
- Solution: Engine Analytics implemented a revenue analytics system using ServeManager, Google Cloud Platform, BigQuery, and Looker. It automated data collection, created real-time dashboards, and set up a notification system for senior management. A custom Python script processed the data, which was then stored in BigQuery, where advanced modeling identified key revenue trends and client insights. Looker transformed this data into interactive dashboards, providing real-time visibility into financial performance.
- Results: The new revenue analytics system transformed the law firm’s decision-making and financial oversight:
- Real-time revenue tracking improved financial oversight
- Automated insights optimized client engagement and operations
- Data-driven decisions increased revenue and improved client retention
Check Engine Analytics Profile
9. Aleddo Technologies - Ideal for AI-driven business intelligence solutions, including predictive analytics, and data automation
- Best for: Business intelligence (BI) for Healthcare
- Average hourly rate: $50
- Minimum budget: $1,000-$10,000
- Founded: 2023
- Size: Under 49
- Location: Dubai, United Arab Emirates
- Notable clients: Al-Futtaim Engineering Company LLC, Dubai National Air Travel Agency, Lootah Lemmens LLC
Aleddo Technologies is a fast-growing big data startup company specializing in AI-driven business intelligence and data visualization. With expertise in Power BI, Tableau, and Alteryx, it helps businesses centralize data, access real-time insights, and automate reporting. The startup has deployed over 200 BI analytics solutions, serving 300+ clients with a team of more than 50 data experts. Its privacy-first approach ensures compliance with UAE and EU data regulations. Through AI-powered dashboards and real-time alerts with 90% forecasting accuracy, it enables companies to optimize business performance efficiently.
Aleddo Technologies Success Story
- Challenge: A leading UAE hospital chain faced operational inefficiencies, unpredictable patient volumes, and a lack of real-time data for decision-making. Key challenges included revenue forecasting, doctor performance management, pharmacy inventory optimization, and emergency department efficiency. The hospital chain knew it needed one of the reliable big data companies to offer the needed assistance.
- Solution: Aledo Technologies implemented an AI-powered data analytics system, integrating hospital data from EHRs, pharmacies, HR, and finance. Using time-series forecasting and machine learning models, the data analytics company built predictive tools for revenue, patient volume, and doctor performance. The team deployed dashboards to enable real-time insights, automate reporting, and optimize resource allocation.
- Results: Thanks to the big data company, the hospital achieved over 90% accuracy in forecasting, reduced medication wastage and stockouts by 25%, and saved 20+ hours weekly through automated reporting, leading to enhanced patient care and operational efficiency.
Check Aleddo Technologies Agency Profile
10. Olmait - Best for companies needing cloud-native data engineering and analytics solutions
- Best for: Cloud-native data pipeline
- Average hourly rate: $40
- Minimum budget: $10,000-$25,000
- Founded: 2018
- Size: Under 49
- Location: Tbilisi, Georgia
- Notable clients: Explorium, The Edith Wolfson Medical Center, Comsec Global, SafeHouse
Olmait is a data analytics startup providing AI, machine learning, and cloud-native solutions. It helps businesses optimize operations with predictive modeling, real-time data processing, and scalable cloud infrastructure. Focusing on AI-powered insights, the big data company’s proprietary solutions include anomaly detection, recommender systems, and computer vision. The data analytics company provides expert outstaffing and project-based services, delivering cutting-edge Google Cloud solutions to businesses worldwide.
Olmait Success Story
- Challenge: A medical technology company needed a scalable cloud-based system for its Sensor-Kinesis device, which allows patients to perform remote health tests. The system had to support real-time data transmission, ensure secure storage, and provide instant access for healthcare providers. Handling large volumes of health data efficiently while maintaining compliance with medical regulations was a critical challenge that required help from one of the best big data companies.
- Solution: Olmait developed a big data infrastructure using cloud-native technologies to process and analyze real-time medical data. The system that the big data company implemented used Google Cloud’s BigQuery for scalable storage, DataFlow for real-time data streaming, and AI-driven analytics for fast and accurate result interpretation. The data analytics company integrated a secure API to enable seamless data sharing between patients and healthcare providers.
- Results: The big data company’s solution enabled instant test result transmission, allowing doctors to diagnose conditions remotely within minutes. The scalable architecture that the big data company implemented supported mass testing, helping to process millions of health records efficiently.
How We Picked the Best Data Analytics Companies
To identify the best data analytics companies, we conducted a rigorous company evaluation, taking into account client feedback, case studies, industry standing, team capabilities, client portfolios, and leadership caliber. We conducted an evaluation using a structured scoring method crafted by industry experts to measure their overall performance against essential criteria:
- Vetted reviews: Assessing service quality, client satisfaction levels, and agency reliability
- Portfolio: Successful data analytics projects backed by tangible results and client endorsements
- Awards and recognitions: Acknowledgements from reputable sources underscoring agencies’ innovation and data analytics excellence
- Team bios: overview of team members' skills and relevant data analytics experience
- Core services: Detailed breakdown of primary offerings and specialized focus areas
- Big data expertise: Proficiency in developing robust data analysis approaches that drive business growth
Visit the DesignRush Agency Ranking Methodology for more information on how we research agencies.
10 Most Popular Big Data Companies Compared
| Agency name | Location | Hourly rate | Size | Best for | Industy Focus | Technology Stack |
| ScienceSoft | McKinney, TX | $50 | 500-999 | Overall | Healthcare Finance Manufacturing Retail Real estate | Apache Hadoop Apache Spark Power BI Azure Synapse Amazon Redshift |
| InData Labs | Nicosia, Cyprus | $65 | 50-99 | Cloud-native data analysis | Marketing ECommerce Logistics Fintech Digital Health | Microsoft Azure Amazon Redshift Power BI Tableau AWS |
| Sigma Software | Lviv, Ukraine | $40 | 1,000 & Up | Real-time data analytics | IT Healthcare Automotive MediaMarketing | Apache Spark Apache Hadoop Presto Kafka Microsoft Azure |
| Unicsoft | London, United Kingdom | $50 | 100-249 | Sentiment analysis | Supply chain Fintech Healthcare Retail Education | TensorFlow Python Scikit-learn Jupyter Seaborn |
| Oxagile | New York City, NY | $50 | 250-499 | Data visualization solutions | Media & telcos Healthcare Sports & fitness Finance & banking Information & communication | Apache Hadoop Apache Spark PythonPower BI AWS |
| ThirdEye Data | San Jose, CA | $55 | 50-99 | Data pipeline creation | Manufacturing IT Healthcare Retail Nonprofit | Microsoft Azure AWS Apache Spark FlinkPower BI |
| Datamatics | Edison, NJ | $30 | 1,000 & Up | Data lake building | Banking Manufacturing Logistics Healthcare Technology | Not mentioned |
| Engine Analytics | Singapore, Singapore | $100 | Under 49 | Integrated revenue analytics | eCommerce SaaS AdTech IT Cyber Law | Tableau BigQuery Data Studio Streamlit Fivetran |
| Aleddo Technologies | Dubai, United Arab Emirate | $50 | Under 49 | Business intelligence (BI) for Healthcare | Healthcare Travel Retail eCommerce IT | Tableau Power BI Azure AWS Alteryx |
| Olmait | Tbilisi, Georgia | $40 | Under 49 | Cloud-native data pipeline | Healthcare Technology Finance Insurance Real Estate | Python AWS Docker Apache Spark Mongo DB |
List of the Best Data Analytics Companies
737 Companies
Rankings updated: March 28, 2025
Find a Big Data Analytics Company Near you
AI/ML Consulting and Development CompanyAlltegrio specializes in Custom AI Solutions Development . Generative AI, Machine Learning, Computer Vision, AI Assistants Development, Natural Language Processing, OCR Data, Data Annotation all [... view the full profile of Alltegrio]Delaware City, Delaware 100 - 249 $50/hr $25,000 - $50,000
A Reliable Full-Service Software Development, Cloud, DevOps and QA partnerLeveraging 30 years of excellence designing, developing, deploying and supporting world-class software solutions, Kanda Software has established itself as a trusted Software Development, Cloud [... view the full profile of Kanda Software]Boston, Massachusetts 500 - 999 $50/hr $50,000 & Up
Quality, Experience, Transparency, ResultsMercury Development offers best in class Software Development, Mobile Apps, UI/UX, QA, ML, Data Science and more. With over 23 years in business, and over 400 employees, Mercury has the experience [... view the full profile of Mercury Development]Stuart, Florida 250 - 499 $50/hr Inquire
ELEKS, a trusted partner for guaranteed software engineering excellence, quality, and transparency.ELEKS is the partner of choice for many leading enterprises, SMEs and technology challengers. We help businesses elevate their value through custom software development, product design, QA and [... view the full profile of ELEKS]Chicago, Illinois 1000 & Up $50/hr $25,000 - $50,000
Technology Partner for 170+ Startups.Offering Chatbot, IT, and Software Solutions. Talentica Software is an innovative outsourced product development company that provides startup-oriented and dedicated remote teams to help startups [... view the full profile of Talentica Software]Pune, India 500 - 999 $30/hr $50,000 & Up
Innovating Today, Shaping TomorrowJPLoft is a leading mobile & web app development company based in Denver, Colorado. For over a decade, we've turned dream ideas of global brands like Nike, Red Bull, Whirlpool & passionate founders [... view the full profile of JPLoft]Denver, Colorado 100 - 249 Inquire Inquire
Best AI-powered solutions for custom healthcare software developmentСomprehensive AI-powered healthcare software solutions tailored for business needs of healthcare providers. Full-cycle development, custom apps, and medical IT consulting. Our AI-driven services [... view the full profile of IT Medical]Miami, Florida Under 49 Inquire Inquire
Your trusted Data Entry Outsourcing & Web Research PartnerUniquesdata is a global data management outsourcing company providing a wide range of solutions, including data entry, market research, data digitization, data processing, data conversion, data [... view the full profile of Uniquesdata]Ahmedabad, India 100 - 249 $5/hr Under $1,000
Your helping hand in software qualitya1qa, a global pure-play QA and test automation provider, brings over 20 years of expertise in delivering quality assurance and software testing services. The organization adjusts its workflows to [... view the full profile of A1qa]Decatur, Georgia 1000 & Up $25/hr $10,000 - $25,000
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Hybrid App Excellence For All Business SizesBrainvire: Your Trusted Partner for Hybrid App Development [... view the full profile of Brainvire Infotech]Irving, Texas 1000 & Up $25/hr $1,000 - $10,000
Digital Product Engineering*instinctools is a leading AI and digital product engineering company with 25+ years of experience. Their services include AI and Machine Learning development, custom software development, BI and Big [... view the full profile of Instinctools]Potomac, Maryland 250 - 499 $40/hr $10,000 - $25,000
Your Product Engineering & Gen AI PartnerSimform is a premier product engineering services company specializing in Cloud/MACH architectures, DevOps automation, Data Engineering, Generative AI and Machine Learning to create seamless digital [... view the full profile of Simform]Orlando, Florida 1000 & Up $30/hr $25,000 - $50,000
We build tailored data platforms that help businesses collect, transform and turn data into insightsGroupBWT is a consulting firm specializing in data management and the construction of data platforms. Our approach combines classical data warehousing with robust visualization tools, ETL processes [... view the full profile of GroupBWT]London, United Kingdom 50 - 99 $45/hr $1,000 - $10,000
Build Intelligent Apps for Web, Mobile, Data, AI and CloudAzumo helps businesses build intelligent apps by providing nearshore, top-tier developers skilled in AI, data engineering, and enterprise web and mobile applications. Our expertise has earned the [... view the full profile of Azumo]San Francisco, California 100 - 249 $55/hr $50,000 & Up
Turning software ideas into realityItransition specializes in assisting startups and medium to large scale businesses with their software solution needs. Our range of services encompasses the entire development lifecycle, from initial [... view the full profile of Itransition]Lakewood, Colorado 1000 & Up $40/hr $50,000 & Up
We provide solutions that we are proud of. Otherwise, we don't.EffectiveSoft delivers tailored software engineering services that empower clients to disrupt industries and enhance customer experiences. [... view the full profile of EffectiveSoft]San Diego, California 250 - 499 $50/hr $25,000 - $50,000
Get a world-class agile product team, on demand | Product Engineering, AI, Data & Cloud ConsultingWe are a digital product, chatbot solution, and software development company and your guide on the digital transformation journey. Right from materializing your ideas through rapid application [... view the full profile of Maruti Techlabs]Austin, Texas 100 - 249 $40/hr $25,000 - $50,000
Materializing software project concepts!Intetics, established in 1995, is a prominent player in the IT software services domain. They offer a range of services, including Custom Software Development, Educational Software Development, Remote [... view the full profile of Intetics]Naples, Florida 500 - 999 $50/hr $50,000 & Up
We build AI-native solutions and use AI to build software better, faster, smarter.Your AI and Data transformation partner.We help you unlock AIs value through the power of your data. [... view the full profile of HatchWorks AI]Atlanta, Georgia 100 - 249 $50/hr $10,000 - $25,000
Delivering Quality Products and Premium ServicesPrismetric is an ISO 9001:2015 Certified Web & Mobile App Development Company having a development center in India with offices in USA. We develop exceptional applications for iPhone, iPad and Android [... view the full profile of Prismetric]San Francisco, California 100 - 249 $18/hr Inquire
Deep tech expertise for SMELight IT provides the following services on the global tech market:- consulting clients on IT products and services- custom product and software development- provision of resources at the [... view the full profile of Light IT]Rickmansworth, United Kingdom 100 - 249 $40/hr $10,000 - $25,000
Redefining real estate tech!RisingMax Inc., a prominent IT consulting company based in NYC, collaborates with startups and Fortune 500 companies, offering advanced IT solutions, chatbot solution, and smart strategies to [... view the full profile of RisingMax]New York City, New York 50 - 99 $25/hr $1,000 - $10,000
Turning Digital Ideas into Powerful & Lucrative RealitiesWezom offers web and mobile development services, providing solutions that address business challenges, meet market demands, enhance internal operations, and stay up-to-date with digital trends. [... view the full profile of Wezom]Chicago, Illinois 250 - 499 $49/hr $50,000 & Up
Since 2002 in the software development business. Companies from 27 industries choose us.With over 20 years of industry experience, Gecko Dynamics is a trusted partner for startups and enterprises. Our team delivers end-to-end solutions using Java, Angular, Flutter, and AWS. From ideation [... view the full profile of Gecko Dynamics]Krakow, Poland 50 - 99 $50/hr Inquire
Your Partner in Custom Software ExcellenceUS-based Mobile App, Web, and Custom Software Development Company with engineering hubs in Ukraine and Poland. We help businesses become unicorns, gain competitive advantages, and increase ROI. [... view the full profile of Geniusee]Warsaw, Poland 100 - 249 $40/hr $25,000 - $50,000
Driving project success no matter whatScienceSoft has 35 years of software development experience and 4,000 completed projects. 60+ certified project managers (PSM, PMP, PMI-ACP) ensure predictable, agile delivery, while ISO 9001 and ISO [... view the full profile of ScienceSoft]McKinney, Texas 500 - 999 $50/hr Inquire
We design & develop web and mobile applications. Specializing in outsourcing and AI integrationWe are ready to build your project in the digital world. We will help you through the development process from initial analysis to successful launch. We design, build and launch digital products on [... view the full profile of Moravio]Prague, Czech Republic 50 - 99 $79/hr $25,000 - $50,000
Software and Product Development | Dedicated Teams7EDGE is a custom software development company helping enterprises, brands, and startups develop a strategic roadmap in their digital journey. Our core strength lies in developing custom software and [... view the full profile of 7EDGE]New York City, New York 50 - 99 $25/hr $25,000 - $50,000
Trusted IT Partner for SMBs & Enterprises Since 2001 | Dedicated Teams | Industry-Specific SolutionsAltoros is a 350+ person strong IT consulting and development group. For over 20 years, we've been assisting Global 2000 organizations in getting software products to market faster and reducing the [... view the full profile of Altoros Labs]Pleasanton, California 250 - 499 $50/hr $25,000 - $50,000
Empowering businesses with cutting-edge software products that drive growth and success.UplineSoft is a premier global IT outsourcing service provider, offering a comprehensive range of technology solutions tailored to meet the unique needs of businesses worldwide. Our expertise and [... view the full profile of UplineSoft Inc.]Monroe, North Carolina 100 - 249 $50/hr $1,000 - $10,000
We make the impossible case possible.Matellio is a leading software engineering studio, recognized globally for delivering intelligent solutions powered by Artificial Intelligence and Machine Learning. We specialize in developing [... view the full profile of Matellio Inc.]San Jose, California 250 - 499 $50/hr $50,000 & Up
Financial Software Development ServicesSince 2002, Armada Labs has been honing its in-depth fintech domain expertise by delivering spot-on technology consulting and state-of-the-art software development services to industry leaders [... view the full profile of Armada Labs]Estero, Florida 100 - 249 $55/hr $50,000 & Up
Bridging Innovation and Transformation in AI Development and IT ServicesCloud Primero, a global IT services and AI Development company, specializes in reimagining businesses through big data, cloud services, and custom applications. With expertise in AI, mobile and web [... view the full profile of Cloud Primero]Rotterdam, Netherlands 250 - 499 $35/hr $1,000 - $10,000
Together, beyond expectationsCHI Software is a technology solution provider that offers a full set of software-based services from custom software development to maintenance & support. Our talented team is passionate about [... view the full profile of CHI]Lviv, Ukraine 500 - 999 $60/hr $50,000 & Up
Unlocking Big Data Brilliance with Google Cloud Analytics!At Bigglo, we're here to transform your business through big data analytics services in the Google Cloud ecosystem. With us, you'll find a reliable partner to streamline and bolster all your data [... view the full profile of Bigglo]Warsaw, Poland Under 49 $70/hr $1,000 - $10,000
Unlock Tomorrow.GET OUR EXPERT CONSULTING AND SOFTWARE ENGINEERING SERVICES. [... view the full profile of Computools]New York City, New York 250 - 499 $40/hr $50,000 & Up
Bringing together the magic of data science and AIInData Labs is a leading data science and analytics consulting firm with a focus on AI, Generative AI and ChatGPT, Machine Learning, and Big data software development. [... view the full profile of InData Labs]Nicosia, Cyprus 50 - 99 $65/hr $10,000 - $25,000
Quality Software DevelopmentQuality Software Development – Our company helps partners develop, implement, and maintain successful digital products across all devices. We aim for long-term partnerships – potentially lifelong. [... view the full profile of Lasting Dynamics]Las Palmas de Gran Canaria, Spain 50 - 99 $40/hr $50,000 & Up
Transforming Ideas into Intelligent SolutionsAristek is a custom development company specializing in AI and DS solutions for EdTech, HealthTech, Logistics, and Retail. Our experts have 22+ years of experience, serving 40+ global clients and [... view the full profile of Aristek Systems]Vilnius, Lithuania 100 - 249 $50/hr $25,000 - $50,000
We Deliver #DigitalSuccessAt INT, The agency support your ideas and use its broad expertise to make them a reality. Our consultation process is motivated by analytics. We use technology to our advantage to create [... view the full profile of Indus Net Technologies]Boise, Idaho 500 - 999 $35/hr $1,000 - $10,000
Offshore Software Dev Experts with Proven SkillsetseLuminous Technologies is the top offshore software dev firm, offering a dedicated team of skilled developers in various domains. With a proven track record of success, we provide flexible hiring [... view the full profile of ELuminous Technologies]New York City, New York 100 - 249 $25/hr $10,000 - $25,000Need Help Selecting The Right Agency For Your Project?
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Big Data Company Hiring Guide
What is a big data company?
A big data company is a company that analyzes large volumes of complex data sets, often called "big data," to derive valuable insights that drive decision-making.
Using advanced analytical techniques and technologies, big data companies process and analyze data to reveal patterns and relationships that are not immediately apparent. They extract vital insights from huge datasets, uncovering hidden patterns, correlations, customer behavior, and habits.
What services do big data companies provide?
Big data companies provide the following services:
- Data integration: Integrating diverse data sources to create a unified view of information, enabling comprehensive analysis and insights.
- Predictive analytics: Big data companies use advanced algorithms and machine learning models to forecast trends, customer behavior, and market dynamics in different industries:
- Finance: Detects fraud, assesses credit risk, and predicts market trends
- Retail: Optimizes inventory, forecasts demand, and personalizes recommendations
- Healthcare: Identifies at-risk patients and improves treatment plans
- Manufacturing: Prevents equipment failure and reduces downtime
- Customized reporting: Data analytics companies create customized reports and dashboards that provide actionable insights based on business needs. Some examples are:
- Banks use customized reports to track loan defaults, analyze customer spending patterns, and assess risk
- eCommerce platforms generate sales reports to monitor top-selling products, customer demographics, and seasonal trends
- Data visualization: Big data companies use visualization tools to transform complex data sets into easily understandable charts, graphs, and visuals.
- Machine learning capabilities: Applying ML techniques to uncover hidden patterns, automate processes, and enhance predictive capabilities.
- Real-time analytics: Implementing real-time data processing solutions to provide instant insights and support agile decision-making, some practical applications include:
- Hospitals track patient vitals in real time to detect critical conditions early and enable fast intervention
- Transportation and logistics optimize routes with real-time GPS tracking, cutting delays and fuel costs
- Data governance: Establishing frameworks to ensure data quality, security, and regulatory compliance.
- Business intelligence consulting: Providing strategic consulting to help organizations use data effectively, aligning analytics initiatives with business objectives.
What is the difference between a big data company and a traditional data company?
The difference between a big data company and a traditional data company lies in their expertise and approach to data analysis.
Big data analytics companies handle large volumes of complex data using advanced ML and AI technologies. They excel in predictive analytics, real-time data processing, and integration of diverse data sources.
On the other hand, traditional data analytics companies typically deal with structured data and employ conventional analytics methods. They specialize in statistical, descriptive, and diagnostic analytics, data visualization, and reporting.
Big data analytics companies specialize in:
- Advanced predictive analytics
- Real-time data processing
- Integration of diverse data sources
- ML applications
While traditional data companies’ areas of expertise include:
- Statistical, descriptive, and diagnostic analytics
- Data visualization and reporting
- Structured data analysis
How much do data analytics companies charge for their services?
The top 50 data analytics companies on DesignRush charge an average of $45/hour. Around 9.9% of the big data analytics companies on DesignRush accept projects with a minimum budget of less than $1,000, while 6.9% require a $50,000+ minimum budget.
The cost of big data analytics services varies significantly based on company size and specific business needs. Here's a breakdown of estimated annual expenses across different tiers:
- Small businesses: $5,000 to $15,000
- Mid-sized businesses: $15,000 to $100,000
- Enterprise-level organizations: $200,000 to $500,000+
Other than the size of the business, other factors influencing big data analytics implementation costs include:
- Project scope: Bigger projects with multiple data sources or real-time processing cost more
- Data complexity & volume: Processing large, unstructured, or complex data increases expenses
- Technology & infrastructure: AI, ML, and high-speed computing add significant costs
- Expertise required: Hiring specialized data scientists and engineers raises costs
- Service model: One-time analysis is cheaper than ongoing subscription services
Why should I hire a big data analytics company?
You should hire a big data analytics company if your business handles vast amounts of data from various sources and requires advanced tools and expertise to transform this data into strategic insights. These companies can efficiently process large datasets, using sophisticated analytics to uncover patterns and predict trends crucial for decision-making and competitive advantage. They can help you optimize operations, tailor marketing strategies, and boost profitability.
Here are several benefits you can achieve by hiring a big data company:
- Improved decision-making: By analyzing large volumes of data, these companies can provide deeper insights into customer behavior, market trends, and operational efficiency, helping businesses make more informed decisions.
- Increased efficiency and cost reduction: Big data analytics can optimize business processes, identify waste, and predict future needs, potentially leading to significant cost savings and operational improvements.
- Improved customer experience: Insights from big data analytics allow businesses to understand customer needs and preferences better, leading to more personalized services and improved customer satisfaction.
- Data security and compliance: Professional analytics companies prioritize data security and compliance with regulations. They have robust measures to protect sensitive data and ensure compliance with industry standards and legal requirements.
- Competitive advantage: Access to advanced analytics techniques and tools can give businesses unique insights that competitors might not have, offering a distinct competitive edge in the market.
- Adept risk management: Big data analytics helps identify potential risks and anomalies early, allowing companies to mitigate risks before they become more significant.
- Scalability: Big data analytics companies can scale their solutions as a business grows, ensuring data handling becomes increasingly influential without compromising performance.
- Innovation: By uncovering hidden patterns and relationships in data, companies can discover new business opportunities and innovate their products and services.
We can see the effectiveness of big data analytics services in the following example:
Sagent Pharmaceuticals, Inc. needed to upgrade its data analytics infrastructure as it transitioned from an outsourced to an internal manufacturing model. The existing systems were inefficient, heavily reliant on manual processes, and struggled with data visibility due to dependency on third-party logistics.
Mavent Analytics provided a comprehensive analytics solution that included a two-phase assessment of their current data management and analytics technologies, followed by a future-state strategy and a detailed 24-month execution roadmap. It also identified necessary technology upgrades and facilitated vendor selection for new data integration and visualization tools.
Outcomes:
- Developed a portfolio of 37 prioritized business initiatives
- Enabled quick prioritization of six critical projects requiring capital investments
- Implemented a new technology stack with AWS, Talend, and Tableau
- Established governance frameworks and delivery methodologies
- Assisted in strategic hiring to lead analytics initiatives
How do I choose the right big data service provider for my business?
You can choose the right big data service provider for your business by following these comprehensive steps:
- Define your goals and requirements
Clearly outline your objectives, data sources, budget, timeline, and expected outcomes from the big data analytics project. - Research potential companies
Thoroughly research search engine results and directories like DesignRush to identify reputable big data companies with relevant industry experience, proven track records, client testimonials, case studies, and industry certifications. - Evaluate expertise and technologies
Assess the expertise of each company in data analysis, ML, data visualization, and other relevant areas. Consider their technologies and tools, ensuring they align with your project requirements and data infrastructure. - Check for data security and compliance
Check if the big data company has industry-recognized certifications such as SOC 2, ISO 27001, or HITRUST. Verify these by requesting proof of compliance, checking accreditation databases, or asking for a copy of its latest security audit report. - Review scalability and flexibility
Evaluate the scalability and flexibility of the company's services, ensuring they can accommodate your evolving data needs and growth trajectory. - Assess communication and collaboration
Consider the data analytics company's communication channels, responsiveness, and processes. Effective communication and collaboration are crucial for a successful partnership. - Request proposals and conduct interviews
Send a detailed request for proposal (RFP) to shortlisted companies, outlining your project requirements, deliverables, budget, and timeline. Schedule interviews with potential candidates to discuss their approach, methodologies, team composition, and project management processes. - Evaluate past projects and references
Review the big data company's past projects, case studies, and client references to gauge their capabilities, project success rates, and client satisfaction levels. - Consider cultural fit and alignment
Assess the cultural fit and alignment of values, goals, and work ethics between your organization and the big data analytics company. A harmonious partnership can lead to better collaboration and project outcomes. - Negotiate terms and finalize contracts
Once you've selected a preferred data analytics company, negotiate terms, pricing, deliverables, and timelines. Finalize the contract with clear expectations, milestones, and project governance structures in place.
Following these steps, you can make a well-informed decision and choose the best big data analytics company to meet your business needs. Ready to explore your options? Visit the Marketplace and tell us more about your project. We’ll connect you with the most suitable companies based on your requirements — for free.
How do I find the best data analytics company on DesignRush that fits my budget?
You can find the best data analytics company on DesignRush that fits your budget by using our directory filters. Sort agencies by minimum budget, lowest to highest, to get the list of agencies that accept projects with budget ranges from $1,000 to $50,000 or more.
Some notable agencies with and their minimum budget ranges include:
| Low Budget: 1k above | |
| Mid Budget: 10k above | |
| High Budget: 50k above |
What common challenges arise when working with a big data company, and how can they be mitigated?
Working with a big data company comes with challenges like data integration, security risks, and high costs, but these can be mitigated with clear strategies, proper tools, and strong collaboration:
- Data integration issues
Combining data from different sources can be complex and lead to inconsistencies. Make sure the data analytics company has strong ETL (Extract, Transform, Load) capabilities and a clear integration strategy. - Poor data quality
Inaccurate, incomplete, or outdated data can lead to unreliable insights. Establish data validation processes and implement automated data-cleaning tools. - High costs
Big data projects can be expensive due to infrastructure, software, and expertise requirements. Define clear project scope, set a budget, and explore scalable cloud-based solutions to optimize costs. - Slow time to insights
Delays in processing and analyzing data can reduce the value of insights. Confirm that the big data company uses high-performance computing, automates workflows, and prioritizes real-time analytics where necessary. - Security and compliance risks
Handling sensitive data increases exposure to cyber threats and regulatory penalties. Work with vendors who follow industry security standards (e.g., GDPR, HIPAA) and implement encryption and access controls. - Lack of internal expertise
Businesses may struggle to interpret analytics results or use insights effectively. Invest in employee training, request user-friendly dashboards, and ensure the data analytics company provides ongoing support. - Vendor lock-in
Dependence on a single vendor’s proprietary tools can limit flexibility and increase long-term costs. Choose companies with open standards, ensure data portability, and negotiate exit strategies in contracts. - Scalability issues
As data volumes grow, some platforms may struggle to handle the increased load. Choose cloud-based or hybrid solutions that can scale with your needs and plan for future data growth. - Misaligned expectations
A disconnect between business goals and analytics outcomes can lead to disappointment. Clearly define your objectives, set measurable KPIs, and maintain regular communication with the big data company. - Overcomplicated solutions
Some analytics platforms can be too complex for practical use, leading to low adoption. Prioritize ease of use, request demo sessions, and involve end-users in tool selection and implementation.
What are the key success metrics in big data?
The key success metrics in big data include:
- Return on investment (ROI)
Big data companies rely on it to measure the financial return relative to the cost of the analytics project. For example, according to McKinsey & Company, companies using data-driven B2B sales-growth engines report earnings increase in the range of 15% to 25%. - Data quality improvement
Data analytics companies use this metric to assess enhancements in data accuracy, completeness, and reliability post-analytics implementation. While specific benchmarks vary by industry, improving data quality is crucial for better decision-making. - Time to insight
Tracks the time from data collection to actionable insights. Faster insights enable quicker market responses, improving operational efficiency for big data companies. - Accuracy of predictive models
Big data companies use it to evaluate the precision of models in forecasting trends and patterns. Data analytics companies leveraging predictive analytics are 2.5 times more likely to outperform their competitors. - Customer satisfaction
Data analytics companies use it to measure client satisfaction with analytics services, typically through surveys. Data analytics companies are three times more successful, with some 98% excelling in customer journey insights. - Increased operational efficiency
Big data companies use it to quantify improvements in business operations due to analytics-driven optimizations. For example, airlines that used advanced analytics to track customer satisfaction saw a 15% increase in operational efficiency. - Adoption rate
Big data companies use this metric to look at how widely and effectively the analytics solutions are being used within the client’s organization. High adoption rates can indicate that the tool or insights used by data analytics company are valuable and user-friendly. - Business impact
Data analytics companies use this metric to measure the impact of analytics on outcomes like sales and market share. Over 90% of organizations see measurable value from data investments, with data-driven strategies driving growth and competitive advantage.
What questions should I ask before hiring a big data analytics company?
Before hiring a big data analytics company, you should ask the following questions:
Its Relevant Background
- How many years of experience do you have in big data analytics?
- What types of businesses or industries do you typically work with?
- Can you provide examples of projects you've completed in our specific industry or with similar data types?
- Can you describe a project where you significantly improved a client's decision-making process or operational efficiency?
- What certifications or partnerships do you hold with major cloud providers or data analytics platforms?
- How do you stay updated with the latest trends and technologies in big data?
- Can you share success metrics from previous analytics projects?
Its Services and Processes
- What specific big data analytics services do you offer (e.g., descriptive, diagnostic, predictive, prescriptive)?
- What data integration and preparation techniques does your data analytics company employ?
- What tools, platforms, or technologies do you use for analytics?
- How do you ensure data quality and accuracy throughout the analytics process?
- What is your approach to data integration with existing systems?
- How do you ensure predictive models remain accurate over time?
- What reporting and visualization tools do you use to present insights?
- What is your approach to knowledge transfer and training for our internal team?
- How do you handle project scope changes and potential challenges?
Related to Your Project
- Have you worked with companies of our size and data complexity before?
- How would you approach our specific data challenges and business objectives?
- What are your recommendations for the data infrastructure and technology stack required for this project?
- What are your estimations for project timelines and costs, and how do you ensure transparency?
- What are the key performance indicators (KPIs) you would track to measure the success of this project?
- How will you ensure that the insights generated are actionable and integrated into our decision-making processes?
- What are your strategies for addressing potential data bias or ethical concerns?
- What challenges do you foresee in our project?
- Who will be the main point of contact, and what is their level of experience in managing similar projects?
- What kind of ongoing support will you provide after project completion?
- Is there a risk of vendor lock-in, and how easy is it to transition to another provider if needed?
These questions address industry expertise, services, data handling, and project management, providing a full understanding before hiring a big data analytics company.
What are the best big data companies in the US?
Below are the best big data companies in in the US:
| Agency | DesignRush rating | Google rating | Top clients |
| DevsData Tech Talent | 5.0 stars (37 reviews) | 5.0 stars (21 reviews) |
|
| Instinctools | 4.9 stars (18 reviews) | 5.0 stars (10 reviews) |
|
| Maruti Techlabs | 4.9 stars (20 reviews) | 4.4 stars (116 reviews) |
|
| A3logics | 4.9 stars (15 reviews) | 4.9 stars (8 reviews) |
|
| HatchWorks | 4.9 stars (15 reviews) | 4.1 stars (9 reviews) |
|
Why People Trust DesignRush
Rated 4.7 on Google and Trustpilot, DesignRush Agency Directory is a reliable resource for finding big data companies. We owe this to our executive selection team, which follows a strict screening process when featuring agencies on the platform, assessing key performance indicators, like portfolio, client reviews, and industry reputation.
Sources
DesignRush sustains a directory of over 30,000 agencies categorized by service category, location, expertise, and reviews. We build our database in two ways:
- Our dedicated team of agency experts actively searches the web for top-performing companies. We then pull information from their websites, online presence, and client testimonials to verify their status and qualifications prior to listing.
- The agencies listed get notified of their profiles on the website and they can choose to claim it or not, which suggests their availability for more collaborations.
Agencies can also reach out to DesignRush and must go through the verification process prior to being listed.
About The Author and Expert Reviewer
Dragana Ćosić brings 14+ years of experience in content marketing and B2B content writing. She has contributed to international marketing agencies, such as Wings4U and No Bounds Digital, and created content for Microsoft, Graylog, and AirProxima. With a background in Electrical and Computer Engineering and a keen interest in technology, she now delivers compelling B2B articles on IT, software, and applications for DesignRush.
Robin Fishley is a digital professional with over 20 years of experience in programming, website architecture, and data optimization. Twice honored as Most Innovative Employee at his previous agency, he excelled in leadership roles across SEO, research, analytics, and strategy. At Saatchi & Saatchi, where he was the Director of Search and Data, he developed a successful Big Data analysis tool and provided expert consulting for renowned clients like P&G, Toyota, and VISA. A valuable asset to DesignRush, he now uses his technical background to drive success for the company's digital initiatives.
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