Add powerful, automated data validation to any pipeline block—right inside Mage.

Ensure trust in your data pipelines with Mage’s seamless integration of Great Expectations. With just a few clicks, you can add reusable, declarative test suites to any data loader, transformer, or exporter block in your pipeline.

Build test logic in code or JSON format to validate everything from row counts to null values, schema conformance, and statistical thresholds. These tests run automatically whenever the associated block runs—flagging data issues early, before they reach downstream consumers.

✅ Highlights:

• Attach expectations to any pipeline block using extension blocks

• Define tests using Python or JSON for maximum flexibility

• Run expectations automatically on every pipeline run

• View results in real-time directly from the block logs

• Reuse test suites across pipelines for consistent data quality standards

• Configure thresholds like expect_column_values_to_not_be_null or expect_table_row_count_to_be_between

You can even group multiple blocks under a single validation suite and test them all from one place—no separate tooling required.

Whether you’re auditing mission-critical datasets or just making sure your transformations behave as expected, Mage gives you robust, scalable data quality right where you need it.