DATAFOLD FOR DATA REPLICATION TESTING
Continuous source-to-target validation
Use Datafold Cloud’s data diffing and monitoring capabilites to ensure ongoing data parity across databases, and gain confidence in your data pipelines.
Continuous source-to-target validation
Supported databases
ENSURE MISSION-CRITICAL DATA CONSISTENCY
Guarantee data reliability and quality by validating parity between warehouses
Establish continuous parity of the data you replicate between different data warehouses, so your team makes decisions and relies on data that meets your organization’s standards. Receive alerts to Slack or email when replication performance has deviated.
Data diff
Investigate value-level discrepancies during replication
For every table and column, Data Diff instantly identifies differences between the source and target environments, helping you to quickly fix discrepancies and ensure parity. Use Datafold's Monitors to run Data Diffs across systems on a schedule that works for you.
“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."
Zachary Baustein, Lead Data Analyst
BILLIONS OF ROWS? DON’T SWEAT IT
Automate replication validation at any scale
Even if your replicated tables are billions of rows, Datafold Cloud’s smart data diffing algorithm will tell you if your data differs in seconds. Leverage the Datafold Cloud API and Monitor to regularly and programmatically test your replicated data.
