CKAN 2.12 Improves Large Dataset Downloads by Up to 15x
CKAN 2.12 solves the large dataset download problem. A 13-million-record dataset that took 30 minutes — or timed out — now downloads in 2 minutes.
We have started the process for finalizing the upcoming CKAN 2.10 release, the culmination of almost two years of work by the Tech Team and dozens of contributors. This release is focused on making CKAN more robust from a security point of view as well as providing a better developing experience, with type hints, configuration declaration, support for signals and more.
We aim to release CKAN 2.10 in early January, and as a community-led project, you can help move the release forward in different ways.
The most important one is of course, testing: we need as many eyes as possible on the release branch!

Another great way to support the project is contributing translations for the user interface. CKAN is used across the world and translated to dozens of languages. If you are a non-English speaker and want to contribute translations you can register to Transifex, the online platform we use to manage translations, and edit the 2.10 resource.

If you want to get in touch regarding the 2.10 release please create an issue in the main CKAN repository (if you think you found a bug) or start a discussion to ask questions . You can join the chat on Gitter.
Thank you for helping make CKAN better than ever!
CKAN 2.12 solves the large dataset download problem. A 13-million-record dataset that took 30 minutes — or timed out — now downloads in 2 minutes.
The Open Knowledge Foundation and datHere have announced a collaboration focused on advancing open, FAIR, and AI-ready data infrastructure. This post provides context on how the work relates to CKAN and the broader open data ecosystem.