proactive data observability platform

Goodbye, data doubt.

Hello, Datafold!

Reduce the number of data quality incidents that make it into production by 10x.

Trusted by the most data-driven companies

Data doesn’t have to break

Datafold prevents data outages by proactively stopping data quality issues before they get into production.

DAta Diff

1-click regression testing for ETL

Why choose between good analytics and a good night’s sleep? No more hours of manual testing, days of debugging, and weeks of worrying. Know the impact of each code change with automatic regression testing across billions of rows.

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COLUMN-LEVEL Lineage

Answer data questions in seconds, not hours

Being asked “where does the data used in this report come from?” usually means hours of digging through old PRs while stakeholders wait impatiently. With Datafold’s column-level lineage, you’ll have the answer in seconds, and your stakeholders will love you.

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data catalog

See the shape of your data & draw insights at a glance

Datafold saves hours spent on trying to understand data. Find relevant datasets, fields, and explore distributions easily with an intuitive UI. Get interactive full-text search, data profiling and consolidations of metadata in one place.

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Alerting

Turn SQL queries into smart alerts

Don’t let data incidents take you by surprise. Be the first one to know with automated anomaly detection. Datafold’s easily adjustable ML model adapts to seasonality and trend patterns in your data to construct dynamic thresholds.

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Hear how Datafold customers prevent 80%+ data outages

PRoactive data Quality as a service

Move away from deploy-and-pray, move to being-in-control

Gain complete confidence in what you ship. Detect data quality issues before they affect production.

Fits your workflow
  • Automate manual tasks

  • Implement best practices

  • Integrate with your tools

Enterprise ready
  • Deploys on-prem in < 30 min

  • Integrates with SSO providers

  • Security & Privacy compliant

Immediate impact
  • Improve team productivity

  • Minimize risk of data incidents

  • Unlock more value in your data

Don’t just take our word for it

See what our customers are saying

"Datafold is a game-changer— there is so much value in actually understanding the effect of your pull request. It gives me the confidence that my code does what I expect it to do"

"Datafold makes it a lot easier to understand the impact of your change on downstream data. The tool is super easy to use and does a great job highlighting exactly where there are differences in your data in a digestible way".

"While Datafold is still young and the tool is in its early stage, the foundation of the business is super sound. The core platform is so valuable. Datafold is solving a problem that no one else is trying to solve".

"Column-level lineage gives a holistic view of data dependencies and interdependencies. It’s so powerful - with even more insight than table-level lineage - I get really excited about what it can do!"

"You can see right off the bat whether your data quality is what you were expecting, and reviewers can see it, too. Now we’re at the rate where we’re automating code reviews, or close to it, on 100 pull requests per month. And this is just the start".

"Datafold compares tables thoroughly within seconds, even at a billion-row scale. Without it, we would need to spend hours writing long SQL scripts to verify our ETL migrations to Airflow".

"We recently started using Datafold at work and I love it. It saves a lot of time and helps me feel more confident about the changes we make to our tables".

"Easy to use, saves a lot of time, and provides a lot of valuable information all in one place!"

integrations

The missing puzzle piece in your modern data stack

Datafold seamlessly plugs in all major SQL data warehouses and ETL tools.

immediate business impact

Proactive data observability benefits everyone

Data Developer
  • Deploy with confidence

  • Eliminate toil work

  • Focus on creative tasks

  • Increase productivity

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Data Team Manager
  • Prevent data incidents

  • Establish data quality culture

  • Increase team velocity

  • Improve stakeholder trust

Estimate Impact
Business User
  • Be confident in data

  • Minimize business risk

  • Get data faster

See a live Example