DQOps
For DQOps
Is this your company?
Edverise AI compiled this profile from public information so buyers could find you. Claim it to edit every field, add your portfolio and respond to reviews.
Claim & verify for free
Manage the listing yourself. Verify by work email or company domain to earn the verified badge.
Suggest an edit
Not ready to claim? Send a correction and our team will review and update verified factual errors.
Overview
$25,000+
Min Project Size
$50 - $99/hr
Avg Hourly Rate
10 - 49
Employees
2020
Year Founded
ABOUT DQOPS
Data Quality Services
DQO is a platform designed for data quality monitoring that assists data teams in identifying and resolving quality issues before they affect business operations. It enables tracking of data quality KPIs through dashboards, aiming for a perfect 100% data quality score. DQO effectively oversees data warehouses and lakes on leading data platforms. The platform includes a comprehensive list of predefined data quality checks that assess essential dimensions of data quality. Additionally, its flexible design allows users to adjust existing checks or create custom checks tailored to specific business needs. DQO seamlessly integrates into DevOps environments, enabling data quality definitions to be stored alongside the data pipeline code in a source repository.
Tech Stack
HadoopMongoDB
Languages Spoken
EnglishPolish
HIGHLIGHTS
$25,000+
Min Project Size
$50 - $99/hr
Avg Hourly Rate
10 - 49
Employees
2020
Year Founded
Services
Focus
Industries
Clients
Services Provided
25% BI & Big Data Consulting & SI
18% Cloud Consulting & SI
7% Other IT Consulting and SI
50% Business Intelligence (BI) Dashboard Development
About the Team
OUR STORY
Our company is dedicated to empowering data teams through our software, DQOps, designed to monitor and elevate data quality efficiently. With extensive experience in data quality and observability, our team of data engineers and scientists has developed a platform that seamlessly integrates into DevOps environments, simplifying the identification of data inconsistencies and areas for improvement before they impact business operations. Tailored to support large-scale data monitoring—up to petabyte-sized tables—DQOps enables data professionals to define customized checks, assess ETL processes, warehouses, and databases across major platforms like GCP and Snowflake. We believe that measuring data quality is essential for continuous improvement, recognizing that although definitions vary across organizations, constant monitoring is crucial to prioritize and resolve issues effectively.
Projects & Clients
Project Size & Rate
Minimum Project Size
$25,000+
Average Hourly Rate
$50 - $99/hr
Locations
Headquarters
Konstruktorska 11
Warszawa, Masovian, Poland 02-673