We plan to supported PostgreSQL officially, will be delivered soon.

Watchmen V15 series, which deployed about 2 months ago, and was the very first version we published, working with us over 1 year, we decide stop to maintain, and will not fix bug in this version again.

We already notify all our friends to upgrade their images to V16.1.x, and get good feedback from them. So if you still on V15 series, we highly recommend to upgrade to V16.1 immediately.

We offer upgrade scripts, you can find it at watchmen-migration , just enjoy it.

Still, images of V15 series can be found at,

• Web client
• Doll
• DQC

V16.1.2 Released!

🔧 Fixed​

• Reports and paragraphs in dashboard cannot be loaded.

📜 Enhancement​

• Add server side log for detail messages of http 500 exception.

📦 Images​

• Web client
• Doll Mysql
• DQC Mysql

Find other storage versions here.

All these bugs fixing and enhancement can be found at v16.0.40.

V16.1.1 Released!

It is patch release, which contains bugfixes.

Bugfixes​

• Remove exception raise from ask encryptor from registration
• Flatten column is not working
• DataSourceParam is unserializable
• Bad argument passed of post_delete_pipeline
• Missing the precision cell of factor in uploaded template

V16.0.39 Released!

It is patch release, which contains bugfixes.

Bugfixes​

• pat expired date compare error

🔥 V16.1.0 Released!

Today we are releasing Watchmen 16.1.0. It contains exciting new features.

16.1 series will be a stable version with long-term maintenance.

We strongly recommend users and partners upgrading to 16.1, which is an important minor version upgrade

Features Introduction​

• Auto-mapping factors in pipeline action development
  In pipeline development, factors mapping automatic generation is provided to improve pipeline development efficiency and user-friendliness
• Support SAML2
  Support new authentication protocols of SSO

🔥 V16.0.0 Released!

We refactored all modules and put them to a single Github repository.

For my friends who are using v15, we also offer the migration scripts, visit here for more details.

Just enjoy it!

Welcome to Matryoshka Data!