DQO

DQOps is a data quality monitoring platform for data teams
Konstruktorska 11, Warsaw, 02673, Poland
https://dqops.com

DQO Overview

Number of Employees
Under 49
Minimal Budget
$25,000 - $50,000
Average Hourly Rate
$75/hr
Year Founded
2020
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors.

The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors.

DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.

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DQO Portfolio

DQO - DQOps checks editor
Big Data Analytics
DQOps checks editor
DQO - DQOps 'Current completeness issues' dashboard
Big Data Analytics
DQOps 'Current completeness issues' dashboard
DQO - DQOps incidents management
Big Data Analytics
DQOps incidents management
DQO - DQOps 'KPIs scorecard' dashboard
Big Data Analytics
DQOps 'KPIs scorecard' dashboard
DQO - DQOps profiling
Big Data Analytics
DQOps profiling
DQO - DQOps data sources
Big Data Analytics
DQOps data sources

DQO Clients

One of the biggest FMCG company
Undisclosed
Company from public health sector