Gx Tool New! Jun 2026

As data complexity grows, the demand for declarative, code-first quality tools will only increase. The is positioned as the "Terraform for data quality"—infrastructure as code, but for your data.

This allows a data analyst to verify pipeline health without writing a single line of code.

validator = context.get_validator( batch_request=batch_request, expectation_suite_name="my_suite" )

checkpoint = context.add_or_update_checkpoint( name="my_checkpoint", validations=["batch_request": batch_request, "expectation_suite_name": "my_suite"] ) checkpoint.run()

validator.expect_column_values_to_not_be_null(column="user_id") validator.expect_column_mean_to_be_between(column="price", min_value=10, max_value=100)

The is not a walled garden. It supports:

Finally, open the Data Docs to see the validation results.