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You are viewing documentation for Immuta version 2023.4.

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

Immuta v2023.4 Release Notes

Immuta v2023.4.9

Immuta v2023.4.9 was released February 28, 2024.

Bug fixes

Vulnerabilities addressed:

  • CVE-2023-42282
  • CVE-2023-5869
  • CVE-2024-0985

Immuta v2023.4.8

Immuta v2023.4.8 was released February 21, 2024.

Enhancement

Faster query performance with Snowflake memoizable functions: When a policy is applied to a column, Immuta now uses Snowflake memoizable functions to cache the result of common lookups in the policy encapsulated in the called function.

Subsequently, when users query a column with the applied policy, Immuta leverages the cached result, resulting in significant enhancements to query performance.

To enable support for memoizable functions, please contact your Immuta customer success representative.

Bug fix

Deleting a project in Redshift Spectrum did not drop the Immuta created views for the corresponding data sources.

Immuta v2023.4.7

Immuta v2023.4.7 was released February 7, 2024.

Bug fixes

  • Performance improvements when masking policies are applied to data sources with over 500 columns tagged.
  • Performance improvements of automatic subscription policy background jobs.

Immuta v2023.4.6

Immuta v2023.4.6 was released February 2, 2024.

Bug fix

Any attempt to stage or remove automatic subscription policies resulted in revokes not going through to Databricks if there was a casing mismatch between the principal user from Databricks and the external username mapped to Immuta.

Immuta v2023.4.5

Immuta v2023.4.5 was released January 12, 2024.

Bug fix

When attempting to create a Databricks Unity Catalog data source using OAuth authentication, users received a 500 Internal Server Error.

Immuta 2023.4.4

Immuta v2023.4.4 was released January 5, 2024.

Bug fixes

  • Snowflake user impersonation roles were being removed incorrectly.
  • Snowflake low row access policy mode was re-enabled after users disabled the feature and saved their configuration changes.
  • Fixes to address a race condition that sometimes prevented Snowflake table grants from properly granting and revoking access.
  • After a Redshift integration connection test was successful in the Immuta UI, users encountered an Internal server error when attempting to save the integration settings.
  • Immuta was not granting access to data sources with a hasTagAs policy applied correctly. If users did not initially have the attribute specified when the policy was created, they were not granted access to the data source if they were later given the specified attribute.

Immuta 2023.4.3

Immuta v2023.4.3 was released December 5, 2023.

Bug fix

The Databricks Unity Catalog OAuth certificate field was broken when users attempted to add certificates on the integrations page.

Immuta 2023.4.2

Immuta v2023.4.2 was released November 28, 2023.

Bug fixes

  • Schema monitoring did not create or delete views in Redshift Spectrum if data sources were registered through the Immuta V2 API /data endpoint.
  • When users attempted to register data sources from two different Starburst (Trino) catalogs, they encountered a remote table validation error if the table and schema names were the same.

Immuta 2023.4.1

Immuta v2023.4.1 was released November 7, 2023.

Bug fixes

  • Snowflake table grants fix to address a caching issue that may have led to revokes not properly being granted.
  • Fixes related to Databricks Unity Catalog custom certificate authority configuration. This feature is currently in preview and only available to select accounts.

Immuta v2023.4.0

Immuta v2023.4.0 was released November 1, 2023.

Enhancements

  • Snowflake low row access policy mode is generally available. This mode improves query performance in Immuta's Snowflake integration by decreasing the number of Snowflake row access policies Immuta creates.

  • The /detectRemoteChanges endpoint's schemaEvolutionId parameter runs schema monitoring jobs on all tables associated with the specified ID. To boost performance when registering new data sources, users with a large number of data sources can use the new skipColumnDetection optional parameter to skip running column detection jobs on existing data sources.

  • Users can configure their Databricks Unity Catalog integration to support their proxy server.

  • The Databricks Unity Catalog integration supports OAuth token passthrough. This feature is currently in preview and only available to select accounts.

v2023.4 migration note

All users must be on Immuta version 2022.5 or newer to migrate directly to 2023.4.