Databricks 9 typically refers to Databricks Runtime 9.x, which is a set of pre-configured environments for running big data and machine learning workloads on the Databricks platform. The most common version is Databricks Runtime 9.1 LTS (Long Term Support), which includes Apache Spark 3.1.2.

Key features and information about Databricks Runtime 9.1 LTS:

• Spark 3.1.2: This version of Spark brings numerous performance improvements, bug fixes, and new features compared to previous versions.
• Long Term Support: LTS releases receive regular maintenance updates and security patches, making them suitable for production environments.
• Release Notes: Detailed information about new features, improvements, bug fixes, and library upgrades can be found in the official release notes