Audience: All Immuta users
Content Summary: This section highlights the benefits and deployment options of Immuta and details the data access patterns: Azure Synapse Analytics, Databricks, Databricks SQL Analytics, HDFS, S3, Snowflake, Spark, SQL, and Trino.
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.
SaaS: This deployment option provides data access control through Immuta's native integrations, with automatic software updates and no infrastructure or maintenance costs.
Self-Managed: Immuta supports self-managed deployments for users who store their data on-premises or in private clouds, such as VPC. Users can connect to on-premises data sources and cloud data platforms that run on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.