Integrations Overview

Immuta does not require users to learn a new API or language to access protected data. Instead, Immuta integrates with existing tools and data platforms while remaining invisible to downstream consumers.

The table below outlines features supported by each of Immuta's data platform integrations.

Marketplace
Subscription policies
Data policies
Identification
Impersonation
Query audit
Tag ingestion

N/A

Supported with caveats

Subscription policy support matrix

The table below illustrates the subscription policy access types supported by each integration. If a data platform isn't included in the table, that integration does not support any subscription policies. For more details about read and write access policy support for these data platforms, see the Subscription policy access types reference guide.

Data platform
Read access policies
Write access policies

View-based integrations are read-only

View-based integrations are read-only

Write access is controlled through workspaces and scratch paths

View-based integrations are read-only

Data policy support matrix

The table below outlines the types of data policies supported for various data platforms. If a data platform isn't included in the table, that integration does not support any data policies.

For details about each of these policies, see the Data policy types page.

Amazon Redshift
Amazon Redshift Spectrum
Azure Synapse Analytics
Databricks Spark
Databricks Unity Catalog
Google BigQuery
Snowflake
Starburst (Trino)

Conditional masking

Custom function

Format preserving masking

Hashing

Regex

Masking fields within STRUCT columns

Supported with caveats

Minimize

Only show data by time

Only show rows (matching)

Randomized response

Replace with NULL or constant

Supported with caveats

Reversible masking

Rounding

WHERE clause

Identification support matrix

Identification has varied support for data sources from different technologies based on the identifier type. For details about how identification works in Immuta, see the Data identification page.

Technology
Regex
Dictionary
Column name regex

Amazon Redshift

Amazon Redshift Spectrum

Amazon S3

AWS Lake Formation

Azure Synapse Analytics

Databricks Lakebase

Databricks Spark

Databricks Unity Catalog

Google BigQuery

MariaDB

MySQL

Oracle

PostgreSQL

Snowflake

SQL Server

Starburst (Trino)

Teradata

Query audit support for platform queries

The table below outlines what information is included in the query audit logs for each integration where query audit is supported.

Snowflake
Databricks Spark
Databricks Unity Catalog
Starburst (Trino)

Table and user coverage

Registered data sources and users

Registered data sources and users

All tables and users

Registered data sources and users

Object queried

Columns returned

Rows returned

Query text

Unauthorized information

Limited support

Legend:

  • This is available and the information is included in audit logs.

  • This is not available and the information is not included in audit logs.

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