AWS Databricks Protector

The Protegrity Big Data Protector for AWS Databricks delivers end‑to‑end data protection. Organizations deploying the Big Data Protector rely on modern, supported storage options such as Workspace storage, Unity Catalog Volumes, and cloud object storage like Amazon S3.

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 Workspace-backed paths or deployed using S3 buckets for configuration and script delivery, the Protector ensures resilient execution across AWS 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 AWS Databricks with confidence—knowing that sensitive information is secured across its lifecycle, even as the underlying platform evolves.

The Protegrity Big Data Protector for AWS Databricks empowers organizations to secure sensitive data across their analytics pipelines 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.