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You are viewing documentation for Immuta version 2.8.

For the latest version, view our documentation for Immuta SaaS or the latest self-hosted version.

Immuta Platform

Audience: All Immuta users

Content Summary: This section highlights the benefits, architecture, and data flow of the Immuta platform. Additionally, this section details the data access patterns: Databricks, HDFS, S3, Snowflake, Spark, and SQL.

About Immuta

The Immuta data control plane enables you to unify your disparate data silos virtually, allowing a consistent point for data access for all data analysis. The control plane dynamically protects your data with complex subscription and anonymization policies that are enforced based on the user accessing the data and the logic of the policy. This process removes friction between data owners/compliance professionals and the data analysts by creating digital data exchanges compliant with organizations' regulations and providing complete visibility and flexibility into how policies are enforced and monitored.


  • Unification: All your data remains in-place; however, it is virtually unified within Immuta for a single point of access.
  • Data Policies: Data is hidden, masked, redacted, and anonymized in the control plane based on the attributes of the users accessing the data and the purpose under which they are acting.
  • Authoritative Virtual Data Sources: Complex joins and data transformations can be exposed in Immuta as authoritative virtual data sources for downstream users.
  • Audit Consistency: All activities are audited in a consistent manner across data silos from within the virtual layer. This simplifies audit log analysis and increases the richness of audit logs.