A step-by-step guide to improve data quality. Download new eBook ▶

Solutions

Job Function

Data Area

JOB FUNCTION

Data Scientists

Monitor data quality in the data
used for machine learning

Data Engineers

Prevent loading invalid data
through your data pipelines

BI Developers

Detect data quality issues before
the business sees incorrect
numbers on dashboards

Data Operations

Detect potential issues with data
pipelines

DevOps

Keep the data quality checks
along with the data pipeline code

Data Stewards

Continuously monitor the quality
of the data

DATA AREA

Data governance

Monitor data quality through
unified data quality metrics

Business intelligence

Let your dashboards always show
valid numbers

Data Ingestion

Ensure that your data sources are
pulled correctly

Data lake

Bring data governance to the data
lake

Data warehousing

Trust all the stages of your data
warehouse

Data sharing

Ensure that the data sharing KPIs
are met

Pricing
Company

About us

Our vision on data quality

Book a live demo

Professional services

Let our team plan your data quality strategy

Support

Report problems and get help

Partnership

Offer quality services to your customers

• Prove data quality with KPIs
• Build custom data quality dashboards
• Compare data in migration projects

Learn more>

Resources

Blog

Get the latest from DQO and everything
related to data quality monitoring

Documentation

Deep dive into product set up, div concepts,
user guides and use cases.

How to install>

Quick start with DQO>

eBook

A step-by-step guide which will teach you how to • Organize a data quality project
• Measure the data quality with KPIs
• Monitor and improve quality over time

Learn more>

Documentation

Contact us

Fill out the form below and one of our team members will contact you shortly.

You can also book a direct call with us.

Contact us

Fill out the form below and one of our team members will contact you shortly.

You can also book a direct call with us.

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agree to our Privacy Policy.

Book a call with us

ready to get started?

DQO is an open-source data quality platform that works both locally or in the cloud.
You can install DQO locally in 30 seconds.

Start from pip

				
					python -m pip install --user dqops
python -m dqops

Learn more >

Run in docker

				
					docker run -v .:/dqo/userhome dqops/dqo

Learn more >

Compile directly from GitHub

				
					Linux/MacOs  
> git pull dqops/dqo 
> ./dqo   
Windows
> git pull dqops/dqo
> dqo.cmd

				
					Linux/MacOs              Windows
> git pull dqops/dqo     > git pull dqops/dqo
> ./dqo                  > dqo.cmd

SOLUTIONS FOR

PRODUCT

COMPANY

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A step-by-step guide to improve data quality. Download new eBook ▶

Contact Us

Contact us

Contact us

Book a call with us

ready to get started?

DQO is an open-source data quality platform that works both locally or in the cloud.
You can install DQO locally in 30 seconds.

Learn more >

Learn more >

Learn more >

SOLUTIONS FOR

PRODUCT

COMPANY

NEWSLETTER

Contact us

Contact us

Book a call with us

ready to get started?

DQO is an open-source data quality platform that works both locally or in the cloud. You can install DQO locally in 30 seconds.

Learn more >

Learn more >

Learn more >

SOLUTIONS FOR

PRODUCT

COMPANY

NEWSLETTER

Your Privacy

DQO is an open-source data quality platform that works both locally or in the cloud.
You can install DQO locally in 30 seconds.