Immuta delivers native data security for the Databricks Lakehouse Platform, enabling data teams to secure and scale lakehouse access while accelerating and simplifying operations. With automated data discovery and classification, continuous monitoring, and threat detection, Databricks users can unlock more value from their data with Immuta.
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Manage 93x fewer data policies while also improving transparency.
Granular security across hundreds of thousands of Databricks tables.
100x faster data access to data in Databricks – all with less risk.
Immuta’s automated and secure data policy engine is a key piece of this data governance puzzle, and we are thrilled to be joining forces to help in our effort of simplifying the process of securing and governing data and AI assets across multiple clouds.
Discover and Classify Sensitive Data
Secure Data with Dynamic Controls
Monitor Activity and Detect Threats
Imagine an organization with over 200,000 tables in Databricks that hold some sensitive data including PII.
To secure that data without Immuta, you would need to inventory every table, its data, its policies, and the column types. Then, you have to write role-based policy functions for all 200,000+ tables.
With Immuta, you can accomplish the same security objective with a single data policy.
The policy references the PII that Immuta automatically discovers. When activated, the policy will be propagated across all tables with PII by translating the policy logic into the Unity Catalog primitives.
*GigaOM research comparing Immuta versus other options
For organizations looking to modernize their tech stacks with Databricks and reduce bottlenecks, Immuta provides easy, plain language policy authoring while enabling distributed data stewardship. Users are empowered to create and manage policies and implement dynamic attribute-based access controls, with no technical expertise required.
By separating policy from platform, Immuta allows for consistent policy enforcement across Databricks. As data rules and regulations rapidly increase, Immuta’s flexible access control approach allows users to create attribute- and purpose-based restrictions, simplifying security and compliance with regulatory requirements and making it easier to investigate incidents.
Immuta accelerates access to data by 100x, enabling Databricks users to be more productive. With Immuta, organizations can drive business innovation, improve data-driven decision making, reduce costs, and enhance the customer experience – all with reduced risk.
“Databricks and Immuta open up many opportunities for self-service data analytics, data science, and enterprise reporting.”
"We looked at a number of options and Immuta came to the top for a number of reasons. One was the granularity of controls that we could have on the data across roles. At the time, nobody else was really able to accomplish that."
"With Immuta, we’ve been able to streamline data science and engineering teamwork, dynamically adapt in real time, and accelerate productivity."
"This strategic decision is enabling us to drive business innovation, improve data-driven decision making, reduce costs, and enhance the customer experience, while mitigating risk and adhering to compliance and regulatory standards."
