Migrate your data with confidence at Bayer

Elevate Your Data Quality at Bayer

Migrating from one warehouse to another is stressful enough. Bayer can use Datafold to plan, translate, and validate data across systems seamlessly using column-level lineage, SQL translation, and data diffing.

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

, join our team of incredible partners
"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."
"Datafold allows real visibility into data changes before the changes are live, reducing mistakes and enabling our analysts and stakeholders to feel confident in their changes."
Adam Underwood
Staff Analytics Engineer
Automated data diffs for moving data

Identify data differences at any scale

Whether your tables are thousands or billions of rows, Datafold catches data differences with efficiency. Instead of manual queries across databases, leverage Datafold’s API and scheduler to run data diffs at any volume and cadence.

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.

Win with datafold

Book your demo now

Meet with a data engineer and learn how Datafold can help your team get started.
Graham Whitelaw
VP of Sales and Success
Leo Folsom
Data & Solutions Engineer