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Scalable, dynamic, and consistent data access
for multi-compute, multi-format, multi-storage data lakes.

Unified protection for the data-driven enterprise

Scalable, dynamic, and consistent data access for multi-compute, multi-format, multi-storage data lakes.

Okera’s Data Access Service enforces your policies at run time.

Okera delivers transparent and dynamic enforcement of policies across every tool being used by analysts, data scientists, and data engineers, whether for structured or unstructured data. And it scales from gigabytes to petabyte data lake workloads.

Designed for enterprise-grade scalability

Support for very large and heterogeneous data stores with high-performing workloads enabling multiple concurrent users. API-first design to support multiple tools and frameworks of your choice, empowering users and avoiding lock-in. Cloud-native with support for hybrid infrastructure and multiple clouds including AWS and Azure.

Fine-grained protection

Okera provides a single platform to define and enforce fine-grained access at scale for structured and unstructured data. The access restrictions can be applied at file level; column-; row-; and cell-level based on role based access (RBAC) and/or attribute based access (ABAC) control.

Dynamic obfuscation

Okera puts an end to complicated access control administration by letting you define dynamic policies and views that are executed at run-time. Easily remain compliant with masking, tokenization, redaction, and anonymization capabilities, as well as dynamic permissions per user.

Democratize access and apply consistent policy enforcement

With Okera, all of your data analysts and scientists can easily gain appropriate data access. Okera neutralizes common blockers to allowing new analytic tools by enforcing access policies just below the compute layer. This means analysts can try best-of-breed tools easily and securely, reducing the burden on the platform teams. Policies are consistently enforced.

Designed for multi-format data

Data analysts, data scientists, and data engineers can access any format of data required with their preferred analytic tools and engines. Structured data is accessed as data in tables and views while unstructured data is handled with files.