Simplify data access governance
Secure existing data and migrate more sensitive workloads to Databricks Lakehouse Platform.
Okera Native Integration with Databricks
Okera integrates into your existing Databricks Hive Metastore (HMS) catalog.
Implement best-in-class data access security controls while enjoying business-as-usual.
We wanted it to be seamless. We wanted people to keep working. Query time should be the same.
Okera was the first to present a viable solution.
Data Infra Group Leader, Yotpo - eCommerce Marketing Platform
Policy Based Data Access Governance
Easily protect confidential, personally identifiable, and regulated data from inappropriate access and misuse.
Video: See how Okera works seamlessly with Databricks running on Microsoft Azure.
- Dynamic row, column, and cell level data security
- Analyze healthcare data in a Databricks Notebook
- Runtime: 00:04:35
Easy Policy Creation for Agility and Scale
Okera data governance policies are intuitive and easy to implement. Non-technical stakeholders can validate that policies are implemented as intended, speeding time-to-delivery. Simply register new data with existing policies for an incredible economy of scale. Work smarter, not harder.
Collaborate for Better Outcomes
Okera abstracts policies into language that non-technical data stakeholders can understand. As a result, it’s easier for everyone to collaborate and agree on policies.
This means policies — and the data they protect — can be deployed to users faster and with greater confidence.
Any User of Databricks Lakehouse Platform
Because Okera policies directly integrate with Databricks metadata, all users are automatically governed, regardless of whether they use notebooks, jobs, or the data explorer.
Okera also protects queries to Delta Lake on Databricks for better data lake reliability, security and performance.
AIRSIDE 2022 KEYNOTE
In this informative and entertaining keynote, Doron Porat shares her team’s experience building an open data platform and sets out a vision for the future.