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Getting Started

Welcome to the PACE docs!
About PACE
PACE is the Policy And Contract Engine. It helps you to programmatically create and apply a data policy to a processing platform (like Databricks, Snowflake, BigQuery or Synapse). Through a data contract, you can apply filters, field transforms and access settings to create a view inside a data platform.
Data policy IN, dynamic view OUT is the easiest way to describe it.
PACE is currently in closed alpha. Request access!
ProblemsPACE
PACE is designed to remove friction and cost from using data in real-world organizational settings. In other words: define and implement a policy to "just build" with data, instead of jumping through hoop after hoop.
If (one of) these sound familiar and you are using one of the currently supported processing platforms, PACE is worth a try:
  • You have to navigate many (competing) policies, constraints and stakeholders to access data.
  • The data approval process is complicated, costly and lengthy.
  • Data policies cannot be configured uniformly over hybrid and multi-cloud setups.
  • Governance and processing are done in different, unconnected tools
Positioning
Once installed, PACE sits between your data definitions (often a catalog) and processing platform:
Supported platforms
PACE currently supports Collibra, Datahub and Open Data Discovery on the catalog side, connecting to Snowflake, Databricks, Google BigQuery and PostgreSQL for creating your dynamic views.
Let's go
To install and use PACE, you need:
  • The PACE app (as Spring Boot app or Docker image)
  • The PACE CLI to interact with your deployment
Last modified 19h ago