Dear community,
Apache CouchDB® 3.5.2 has been released and is available for download.
https://couchdb.apache.org/#download
Pre-built packages for Windows, macOS, Debian/Ubuntu and RHEL/CentOS are
available.
CouchDB 3.5.2 is a maintenance release, and was originally published on
2026-05-19.
The community would like to thank all contributors for their part in making
this release, from the smallest bug report or patch to major contributions in
code, design, or marketing, we couldn’t have done it without you!
See the official release notes document for an exhaustive list of all changes:
http://docs.couchdb.org/en/stable/whatsnew/3.5.html
Release Notes highlights:
- Includes JSON library Jiffy 2.0 which includes major performance
improvements: https://github.com/davisp/jiffy/releases/tag/2.0.0.
- Nouveau: faster index building, updated to Lucene 10, old indexes remain
working. Requires Java 21.
- QuickJS updates. Memory leak fixes, use-after-free fixes in workers and
regex, regex memory blowup fix, Unicode 17 support, FP16 support, optimised
string operations, faster context creation, closure optimisation, iterator
improvements.
- Mac versions no longer include the SpiderMonkey JavaScript engine.
Apache CouchDB® lets you access your data where you need it. The Couch
Replication Protocol is implemented in a variety of projects and products that
span every imaginable computing environment from globally distributed
server-clusters, over mobile phones to web browsers.
Store your data safely, on your own servers, or with any leading cloud
provider. Your web- and native applications love CouchDB, because it speaks
JSON natively and supports binary data for all your data storage needs.
The Couch Replication Protocol lets your data flow seamlessly between server
clusters to mobile phones and web browsers, enabling a compelling offline-first
user-experience while maintaining high performance and strong reliability.
CouchDB comes with a developer-friendly query language, and optionally
MapReduce for simple, efficient, and comprehensive data retrieval.
On behalf of the CouchDB PMC,
Jan Lehnardt
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