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You are viewing documentation for Immuta version 2021.1.

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 and deployment methods of Immuta and details the data access patterns: Databricks, HDFS, Presto, S3, S3 Access in Spark and Databricks, Snowflake, Spark, and SQL. Spark, and SQL.

About Immuta

Immuta provides a consistent point of access for all data analysis and dynamically protects your data with complex policies -- enforced based on the user accessing the data and the logic of the policy -- creating efficient digital data exchanges compliant with organizations' regulations with complete visibility of policy enforcement.


  • 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.