DQO

DQO

DQOps is a data quality monitoring platform for data teams

Konstruktorska 11, Warsaw, 02673, Poland

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.
Headquarters
Konstruktorska 11, Warsaw, 02673, Poland

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