atlas VS vitess

Check out: https://github.com/ariga/atlas

(I'm one of the authors of this project).

fwiw, I personally am interested in this approach too[0]. I keep running into roadblocks around the ordering of events and some of the hairy issues around "destructive" actions (eg: renaming columns). i think we can get there, especially once we make progress with this LSP.

There are other notable mentions in this space:

Reshape: https://fabianlindfors.se/blog/schema-migrations-in-postgres...

Atlas: https://atlasgo.io/

[0] https://github.com/kiwicopple/declarative-schemas

Atlas: https://github.com/ariga/atlas. It can be integrated with any ORM, but also has an official one for GORM: https://atlasgo.io/guides/orms/gorm

Run the queryx db:create command to create a PostgreSQL database, and then run queryx db:migrate to automatically create the database migration files and database structure. Queryx’s database schema management is built upon Atlas.

One of https://atlasgo.io's creators here.

In this case, I'd recommend you to check Atlas: https://github.com/ariga/atlas

My name is Rotem, I'm one of the creators of Atlas (https://atlasgo.io) a modern open-source schema management tool. Recently one of our engineers created a cool Django plugin that creates beautiful (in my eyes at least ;-)) and shareable ERDs from your Django data models.

Yes, there is: Atlas! https://atlasgo.io / https://github.com/ariga/atlas.

Hi there You should take a look at Atlas - https://atlasgo.io which can help your team in many aspects of CI/ CD for databases : * CI - detect (and prevent) risky / incorrect migrations automatically * CD - support for modern deployment infrastructure (terraform, helm, etc)

You might want to check out Atlas. It provides automatic migration planning for GORM, and has various guides on how deploying schema migration on the popular platform and tools, such as Helm, Kubernetes and ECS.

With Vitess likely merging a lot of its binaries into a single unified binary: https://github.com/vitessio/vitess/issues/7471#issuecomment-...

... it would be a wild future if Vitess replaced the underlying MySQL engine with this as long as the performance is good enough.

Thank you for the compliment!

We recently started adding support for CTEs in Vitess! You can check out https://github.com/vitessio/vitess/pull/14321 if you want to see some technical details of the implementation.

For now, we have added preliminary support by converting them to derived tables internally, but we believe that we need to make CTEs first-class citizens themselves of query planning. Once we make that change, we can look towards supporting recursive CTEs.

This however will take some time, but then, all good things do!

Why would it be a Google project? https://github.com/vitessio/vitess

This is great news. I strolled around https://github.com/vitessio/vitess/issues/12967.

Are there any public discussions of more trade-offs vitess has to make to enable fks?

MySQL + Vitess I noticed Slack gets by using MySQL because they're using Vites. From Slack's post (https://slack.engineering/scaling-datastores-at-slack-with-vitess/) it seems like they choose Vites because it facilitated a smooth transition because it's built on top of MySQL.

This sounds very similar to the connection pooling done by vitess https://vitess.io/.

https://github.com/vitessio/vitess/issues/12967

A lot of this is possible thanks to the magic of Vitess.

"Vitess is a database clustering system for horizontal scaling of MySQL."

https://github.com/vitessio/vitess