PACE

About PACE

An open-source framework that allows you to enforce agreements on how data should be accessed, used, and transformed. PACE provides policy-as-code capabilities for data governance, ensuring compliance across your data platform.

Key Features

• 1Open-source data access policy enforcement platform
• 2Defines data access policies as code in YAML or Rego
• 3Enforces column-level masking and row-level filtering across warehouses
• 4Integrates with Snowflake, BigQuery, and PostgreSQL via policy views
• 5API-driven for programmatic policy management in CI/CD workflows

How Python Data Engineers Use PACE

Python data engineers use PACE to enforce data privacy policies on pipeline outputs — defining masking rules for PII columns and row-level security filters in code. Python scripts call the PACE API to deploy policies after new warehouse tables are created, ensuring sensitive data is automatically protected before stakeholders access it via BI tools or SQL clients.