Manage data security in sensitive environments with modern, fine-grained, attribute-based access controls (ABAC) dynamically enforced on Spark jobs in Databricks.
Easily prove compliant data access with detailed audit logs and reports that show users’ data access levels, intended purposes, and query history — all in plain English.
Use local and global policies applied to Spark workloads in Databricks for data science and analytics across R, Scala, Python and SQL.
Author access control policies using a natural language policy builder
Rules are natively enforced in Databricks and transparent to notebooks or analytics tools
Automate security and privacy controls when migrating from Hadoop, without the limitations of role-based access control.
Provide more users access to Delta Lake with fine-grained access controls to manage row- and column-level security.
Enforce access and privacy controls for each customer of your data product by dynamically enforcing rules natively in Spark without replicating data
“We picked Databricks and Immuta because they work well together. For us, the ability to deploy Immuta with Databricks in a couple of days for a proof of concept was a pretty big selling point.”
– Slava Frid, Platform Architect and CTO, Worldquant Predictive