To showcase the top big data companies in the United States, our team of 12 industry analysts evaluated each listing using five ranking criteria and insights from over 827 verified client reviews, transforming complex data into actionable insights. 

Organic rankings are determined by five factors: top services, reviews, portfolio, awards/press, and team expertise. Sponsored listings pay for a placement that appears above organic positions. Sponsorship does not affect star ratings or review content - read more on our methodology page.

United States × Gambling × $25,000 - $50,000 ×Clear Filters
  • Top App Development Agency

    We help brands design and build superior digital products, enabling seamless user experiences only at the best Mobile App Development Company...

    Top Services:

    • Mobile App Development
    • Cloud Consulting
    • DevOps Consulting
    • AI Development
    • Big Data Analytics
    • Show more
    Location
    Berkeley, California
    Number of Employees
    500 - 999
    Average Hourly Rate
    $25/hr
    Minimal Budget
    $25,000 - $50,000

    App Maestros Services

    • Mobile App Development
    • Cloud Consulting
    • DevOps Consulting
    • AI Development
    • Big Data Analytics
    • Software Development
    • UI/UX Design
    Data sourced from the agency's DesignRush profile, its website, and other relevant accounts
    • Bed Bath & Beyond
    • Amazon
    • FedEx
    • DreamWorks
    • WhiteCastle
    • Walmart
    • Kohls
    • Politicos
    • Data Stream
    • Artizone
    Data sourced from the agency's DesignRush profile

    App Maestros Reviews & Testimonials

    • David B
      David B Review from Google
      1.0

      David B's Review Sourced from Google

      I want to share my experience so others are aware of the tactics this company uses. I was first contacted via an unsolicited spam text message promoting app development services. I had never heard of this business before, nor did I request any information from them. To see who was really behind the spam, I replied with a simple question about app pricing. The next day, I was contacted directly by this company.What was most concerning is that they tried to claim I had emailed them asking for their services — which is completely false. I never sent them an email or initiated any legitimate contact. The only reason they had my information was because of their own spam outreach. This is both misleading and dishonest.Professional companies do not need to resort to spamming strangers or fabricating stories about how potential clients found them. This type of behavior demonstrates a serious lack of transparency and integrity. If a business cannot be upfront and honest during the very first interaction, it raises major red flags about how they would handle a client’s project, communication, data, and money over time.Based on my experience, I cannot recommend this company. Trust is one of the most important parts of choosing a development partner, and unfortunately, their conduct showed me they are not worthy of that trust. I strongly advise anyone considering working with them to be cautious and look elsewhere for reputable professionals.

    • Ruth Carlson
      Ruth Carlson Review from Google
      5.0

      Ruth Carlson's Review Sourced from Google

      App Maestros is an efficient source for developing optimal applications as their designed app for my delivery business is nothing short of splendid with innovative features and an intuitive interface. Many thanks to them.

    Reviews verified by DesignRush and sourced from the agency's profile View All Reviews

Big Data Services FAQs

What services do big data analytics companies provide?

They provide services that turn structured and unstructured data into decision-making insights, including: 

  • Data strategy & consulting: Defining business goals, identifying data sources, and planning analytics implementation. 
  • Data warehousing & integration: Centralizing data from multiple sources for consistent, accessible analysis. 
  • Business intelligence (BI) & reporting: Providing dashboards, reports, and KPIs that translate raw data into insights.  
  • Prescriptive & predictive analytics: Using statistical models and machine learning to forecast trends and guide optimal decisions. 55% of organizations use ML and AI in their analytics processes. 
  • Data visualization: Interactive charts and graphs simplify complex datasets, with over 39% of market revenue coming from this segment. 
  • Data governance & compliance: Ensure data accuracy, privacy, and regulatory adherence, reducing data breaches by 50% and fraud by 40%, saving an estimated $10 billion annually. 
  • ETL (Extract, Transform, Load) services: Automate data collection, transformation, and migration

How much do big data companies in the US charge?

Their hourly rates range from $80–$350, depending on expertise and project scope: 

  • Entry-level analysts: $80–$100/hr 
  • Mid-level consultants: $100–$170/hr 
  • Senior data science experts: $200/hr 

Project-based pricing models, based on our data: 

  • Basic analytics/reporting: $5,000 – $10,000 base rate + $1,000 – $3,000/mo retainer 
  • Mid-sized predictive projects: $25,000 – $50,000 base rate + $3,000 – $5,000/mo retainer 
  • Enterprise big data solutions: Over $50,000 

Factors affecting pricing: 

  • Project complexity (real-time analytics, ML models cost more) 
  • Team seniority and expertise 
  • Data volume and infrastructure requirements 
  • Tools and tech stack (e.g., Databricks, Snowflake) 
  • Engagement length (long-term contracts may reduce hourly cost) 
  • Location and sourcing (U.S.-based firms typically charge more than offshore) 

How long does it take to see results from big data campaigns?

Most campaigns show early results within the first few months, while long-term initiatives deliver the greatest value as insights compound over time. 

Timeline to ResultsTypical DurationWhat Can You Expect
Immediate wins1-3 monthsData extraction, dashboards, automated reports, and early AI integrations 
Measurable insights4-12 monthsAdvanced analysis, model refinement, and insights that begin influencing strategic decisions. 
Long-term impact12+ monthsContinuous optimization and compounding ROI from large-scale big data programs and enterprise analytics initiatives. 

What industries do big data analytics companies serve in the US?

They mostly serve the following industries: 

  • Healthcare: Personalizes treatments, reduces readmissions, and improves efficiency. The U.S. healthcare analytics market is projected to reach $79.23B by 2028 (CAGR 28.9%)
  • Financial Services: Supports fraud detection, risk scoring, compliance, and personalized offerings. Over 91% of financial firms use analytics, representing 32% of the global market. 
  • Retail & eCommerce: Optimizes pricing, predicts demand, and personalizes marketing. Companies using advanced analytics see 5–6% higher sales and profit growth
  • Manufacturing & Supply Chain: Enables predictive maintenance, inventory optimization, and process automation.  
  • Telecommunications: Manages network traffic, reduces churn, and improves targeting. The telecom analytics market is expected to reach $155B by 2032 (50%+ CAGR).  
  • Media and Entertainment: Streaming and gaming companies use big data to personalize content, optimize recommendations, and increase viewer engagement. Netflix, for example, uses analytics to guide viewing and save ~$1B annually.  

How are big data analytics services different from traditional business intelligence (BI)?

  • Traditional BI focuses on reporting and dashboards built from historical, structured data. They help businesses track performance and understand what has already happened. 
  • Big data companies handle much larger and more complex datasets, including unstructured and real-time data. It is used to identify patterns, predict outcomes, and support advanced decision-making. 

Simply put, BI looks at past performance, while big data analytics focuses on scale, complexity, and future insights. 

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