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Elevate your data quality at Brooksource

With Datafold’s CI testing and column-level lineage Brooksource can identify problems in your data pipelines before they happen.

Migrate to Databricks with confidence at Brooksource

Migrating from one warehouse to another is stressful enough. Brooksource can use Datafold's Migration Agent to plan, translate, and validate data across systems at a fraction of the time and cost of legacy solutions.

Powering leading data teams
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customer quote

“Datafold helps you find the hidden changes you didn't know you made to your data, helping you if they’re unintended or understanding what's causing them.”

Adam Underwood
Staff Analytics Engineer
customer quote

"Seeing statistics and visualizations on how new model data compares to existing model data makes it easy to verify our migration SLAs with stakeholders. This has saved incredible amounts of time and drives efficiency for us."

Adam Underwood
Staff Analytics Engineer
Why Datafold?

How we’ll help you

Datafold Cloud’s data diffing automates deployment testing in your CI process. Validate before you merge, so you can easily see how changes in your code will impact the data across all rows and columns, downstream tables, and BI tool assets.

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Automated data diffs for moving data

Migrate to Databricks in a fraction of the time

While AI-powered translation isn't new, most attempts have created more problems than they solve. The difference lies in our specialization in validation. The Datafold Migration Agent reflects years of experience with SQL parsing and data validation, resulting in an AI system that truly understands the nuances of different data platforms and frameworks and won’t stop refining the code until your data reaches parity.

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Meet with a data engineer and learn how Datafold can help your team get started.

Insung Ko
Data and Solutions Engineer
Leo Folsom
Data & Solutions Engineer
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Resources

How Rocket Money achieved SOX compliance with zero deficiencies with Datafold
How Petal leveraged Datafold to transform its data quality practices
Eventbrite saved hours validating each model during their migration from Presto to Snowflake using Datafold
Faire migrated from Redshift to Snowflake 6 months faster using Datafold’s Data Diff feature