Databricks Runtime 7.3 LTS (Long Term Support) was a version of the Databricks Runtime environment based on Apache Spark 3.0. It was designed to provide a stable and reliable platform for production workloads with long-term support and maintenance.

Key features and benefits of Databricks Runtime 7.3 LTS included:

• Stability and reliability: LTS releases prioritize stability and compatibility, making them ideal for production environments.
• Long-term support: Databricks provided extended support and maintenance for LTS releases, ensuring security updates and bug fixes for an extended period.
• Performance improvements: Databricks Runtime 7.3 LTS offered various performance enhancements, such as optimized query execution and improved memory management.
• Apache Spark 3.0 features: It included all the features and improvements introduced in Apache Spark 3.0, such as adaptive query execution, dynamic partition pruning, and enhanced Python integration.
• Delta Lake integration: It seamlessly integrated with Delta Lake, Databricks’ open-source storage layer, providing improved data reliability, transactionality, and performance.

However, it’s important to note that Databricks Runtime 7.3 LTS reached its end-of-life support on September 24, 2023. This means it’s no longer receiving updates or support from Databricks.

If you are still using Databricks Runtime 7.3 LTS, it’s highly recommended that you migrate to a supported version to ensure continued security, performance, and access to the latest features and bug fixes.