TimescaleDB 2.13.0 released, time series database based on PostgreSQL

TimescaleDB is an open source database designed to make SQL extensible to time series data. It is built on PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space, as well as full SQL support.

TimescaleDB 2.13.0 is now available and includes performance improvements since version 2.12.2, an improved  hypertable DDL API, and bug fixes. There are also some noteworthy new features:

  • Full support for all existing features of PostgreSQL 16
  • Vectorized aggregation execution of sum()
  • Track chunk creation times used in retention/compression policies

Deprecation Notice: Multi-Node Support

TimescaleDB 2.13 is the last version to include multi-node support. Multi-node support in 2.13 is available for PostgreSQL 13, 14, and 15. Learn more  here .

If you want to migrate from multi-node TimescaleDB to single-node TimescaleDB, you can read the migration documentation .

PostgreSQL 13 Deprecation Announcement

PostgreSQL 13 will continue to be supported until April 2024. At that time, the project team will release a specific version of TimescaleDB that no longer contains PostgreSQL 13 support.

Starting with TimescaleDB 2.13.0

  • No Amazon Machine Images (AMI) releases. If you have used AMI before, you can use other installation methods
  • By default, Continuous Aggregates are materialized only (non-realtime)

Please see the update notes for details .

Guess you like

Origin www.oschina.net/news/268721/timescaledb-2-13-0-released