metagration VS graphjin

Realtime uses logical replication, and from your link it looks like it should work with Timescale (although not recommended):

> Using logical replication with TimescaleDB is not recommended, as it requires schema synchronization between the primary and replica nodes and replicating partition root tables, which are not currently supported.

As long as logical replication is supported, this won't be an issue for Realtime because the purpose is to receive data changes (which come in a JSON format) and the end-user doesn't need to persist schema modifications.

> but couldn't get it working

If you send me some error logs, I can take a look or forward to one of the team.

> support Postgres streaming replication

This is the first time I've heard it requested - I don't think it's something we'd do unless there was a good reason and strong demand. If we were to do any work in this direction we'd prefer to try contribute DDL streaming to PostgreSQL's logical streaming. We've been thinking about this for a while (Michel has built metagration - https://github.com/michelp/metagration which has prompted a few ideas for core patches)

This one looks interesting if you like GraphQL… https://graphjin.com

You're right. Django made a ton of tables, and it's pretty insightful to think about all the stuff it's trying to consider and a nightmare to migrate that framework. Django might have simplified some stuff, but it's still too opaque for my taste and the overall end goals of the project. Currently, I'm testing using graphjin (it doesn't have the best documentation, but it does boast an SQL generation capability that I philosophically think is the best way to do things).

Checkout GraphJin it's an automatic GraphQL to SQL compiler, you write your database queries in GraphQL instead of SQL and it compiles them into efficient SQL on the fly. Works as a library in GO and NodeJS. https://github.com/dosco/graphjin

In GraphJin an automatic GraphQL to SQL compiler we use the gnomock library it startups a database instance (docker) then create the schema and tests data and finally our code connects to it and runs a series of tests. We run these across Mysql, Postgres and a few other DB's. Gnomock supports a wide range of them. Right now we don't take down the db for every test only between test runs but its fast enough that we could. This whole thing runs of a simple `go test -v .` command and we run it on every commit using a githook. https://github.com/dosco/graphjin/blob/master/tests/dbint_te...

This was a bug in GraphJin it has since been fixed. The issue was that you were trying to have multiple subscriptions over a single websocket this did not work (it should) and now it does. https://github.com/dosco/graphjin/commit/43e619b2ff392dd42b99a4d56074a041a54b0e1c

Not exactly GraphQL is just a format to define what data you want back from someplace. You can use it in a browser app to request data from a backend GraphQL server or you can use it as an ORM within your backend app to fetch data from a database using a library like GraphJin. https://github.com/dosco/graphjin