Databricks Architecture Explained

Introduction

Databricks architecture is designed to support scalable analytics and distributed data processing using Apache Spark.

Step 1: Control Plane

The control plane manages the workspace UI, notebooks, jobs, and cluster management.

Step 2: Data Plane

The data plane contains the compute clusters where Spark jobs are executed.

Step 3: Storage Layer

Databricks stores data in cloud storage such as AWS S3, Azure Data Lake, or Google Cloud Storage.

Conclusion

The separation between control plane and data plane allows Databricks to provide high scalability and security.