Databricks Runtime is a set of software components that run on clusters of machines managed by Databricks. It includes Apache Spark, a popular open-source framework for big data processing. Still, it also adds several components and updates that significantly improve big data analytics’ usability, performance, and security.

Key benefits of Databricks Runtime:

• Improved performance: Databricks Runtime includes optimizations that can significantly improve the performance of Spark workloads, especially in the cloud.
• Enhanced security: Databricks Runtime includes security features that can help protect your data and workloads.
• Simplified management: Databricks Runtime is easy to manage and can be integrated with other Databricks services.
• Broad compatibility: Databricks Runtime supports various programming languages and libraries.