Apache Druid 30.0 introduces significant enhancements across three key areas: ecosystem integrations, performance, and SQL capabilities. This release, incorporating over 409 commits from 50 contributors, improves data ingestion with updates to the Supervisors view, byte-based guardrails for Amazon Kinesis, and parallel segment creation for Kafka. Druid 30 also introduces experimental support for Rabbit MQ Superstream and enhanced Deltalake ingestion capabilities. Performance upgrades include support for GROUP BY and ORDER BY on complex columns, optimized IN and AND filters, and improvements in concurrent append and replace operations. A new centralized datasource schema reduces startup time by minimizing resource contention. The release supports SQL TABLE(APPEND) syntax for UNION operations and introduces experimental improvements to SQL window functions and dynamic parameter support for arrays. These developments aim to enhance Druid's scalability, reliability, and efficiency in handling real-time analytics.