The Apache Druid team is proud to announce the release of Apache Druid 0.22.0. Druid is a high performance analytics data store for event-driven data.
Apache Druid 0.22.0 contains over 400 new features, performance enhancements, bug fixes, and documentation improvements from 73 contributors. Major new features and improvements include: - Support for number formatting and bitwise operations - Support for ARRAY_AGG and STRING_AGG SQL aggregators - Improved batch ingestion memory usage - Support for using deep storage for native batch shuffle storage - Experimental task autoscaling for Apache Kafka and Amazon Kinesis based streaming ingestion - Apache Avro and Protobuf streaming 'InputFormat' implementations, and improved support of Confluent Schema Registry - Improvements to both manual and automatic compaction - Automatic cleanup of metadata storage Source and binary distributions can be downloaded from: https://druid.apache.org/downloads.html Release notes are at: https://github.com/apache/druid/releases/tag/druid-0.22.0 A big thank you to all the contributors in this milestone release!