Azure Databricks Protector

The Protegrity Big Data Protector for Azure Databricks delivers end‑to‑end data protection. Organizations deploying the Big Data Protector rely on modern, supported storage options. These include Workspace storage, Unity Catalog Volumes, and cloud object storage like ADLS Gen2 or Azure Blob Storage.

Designed to secure sensitive data across analytics pipelines, the Big Data Protector applies advanced tokenization and encryption during Spark execution and enforces centralized, policy‑driven controls. Whether installed via Unity Catalog Volumes for init script and .tgz delivery, the Protector ensures resilient execution across Azure Databricks clusters.

By embracing cloud‑native storage paths, this approach ensures long‑term compatibility with Databricks platform changes while maintaining Protegrity’s standard of seamless and transparent protection. Organizations can continue to process high‑value datasets on Azure Databricks with confidence knowing that sensitive information is secured across its lifecycle, even as the underlying platform evolves.

The Protegrity Big Data Protector for Azure Databricks empowers organizations to secure sensitive data across their analytics pipelines. This can be achieved by combining high‑performance protection mechanisms with flexible deployment models tailored for modern cloud architectures. Central to this capability are two approaches: Application Protector REST (AP REST) and Cloud Protector approach. Each approach is designed to address different customer requirements around scalability, infrastructure usage, and cost optimization.