Immuta v2024.1 Release Notes
Immuta v2024.1.3 was released February 22, 2024.
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.
Additional fixes to address the following issue: 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 v2024.1.2 was released February 9, 2024.
Additional fixes to address an issue that prevented revokes from going through to Databricks if
- an automatic subscription policy was staged or deleted and
- there was a casing mismatch between the principal user from Databricks and the external username mapped to Immuta.
Immuta v2024.1.1 was released February 2, 2024.
- Fix to address issues with performance of background jobs.
- Users who had access to many data sources encountered a 500 error when trying to view data sources on the data source or project pages.
- 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 v2024.1.0 was released January 25, 2024.
Amazon S3 integration: Immuta’s Amazon S3 integration enhances the management of permissions in complex data lakes on object storage. Eliminate scalability concerns as you enforce S3 access effortlessly. You can grant users time-bound access to files and folders, creating a security posture with zero-standing permissions, a gold-standard for compliance.
Additionally, you can grant access to human identities seamlessly through Identity Providers (IdPs) like Okta, Azure AD, and more, thanks to integration with AWS IAM Identity Center. With the implementation of attribute-based access controls (ABAC) for S3, Immuta provides a simplified and efficient approach to managing data lake permissions. The privileges you set using the Amazon S3 integration can apply anywhere, from the CLI, to your applications using AWS SDKs, and on Amazon EMR Spark and Amazon SageMaker. Elevate your data governance with these advanced capabilities and experience a seamless and secure data access environment. Contact your customer success manager for more details.
Integrations API: The integrations API allows you to integrate your remote data platform with Immuta so that Immuta can manage and enforce access controls on your data.
- Write policies: Write policies is a new capability to manage user write access authorizations via policy (enabling users to modify data in data source objects). This release supports the new functionality for Snowflake and Databricks Unity catalog integrations. Contact your customer success manager for more details.
Deprecations and breaking changes
Deprecated items remain in the product with minimal support until their end of life date.
|End of life (EOL)
|Databricks Spark with Unity Catalog support integration
v2024.1 migration note
All users must be on Immuta version 2022.5 or newer to migrate directly to 2024.1.