supabase VS realtime

Semantic search demo

1. Create a new Supabase project: Visit Supabase and create a new project.

Supabase positions itself as the "open source Firebase alternative." It was founded in 2020 and is a developer-friendly serverless database platform that supports over 20 frameworks, including popular tools like Next.js, React, Nuxt, Svelte, Flutter, and Vue.

You can find the full application code as a Python Poetry project on GitHub.

If you use PostgreSQL and are proficient with using its row-level security feature, you can choose from several tools/services built above RLS, including Supabase, PostgREST, and PostGraphile. They all provide a way to expose database CRUD as a web API, assuming you've configured the RLS rules to properly secure the access.

Here the thing that accelerated my development the most: Supabase. Thanks to its Database, Authentication, and Edge Functions, we were able to rapidly develop the app. Their JS library made development super seamless, and their local development stack made testing a breeze.

On certain databases, yes

We only scanned for firestore, which is a NoSQL database, conversion tools may still be possible, a good firebase alternative would be https://supabase.com, but please set up RLS, its IMO much easier then Firebase.

Supabase - PostgreSQL

I am working on a Supabase project that is going to have a data model that supports content (called nuggets) that can belong to either users individually or to teams.

Supabase as our DB

You can LISTEN/NOTIFY. Or you can use logical replication and a custom subscriber.[1] Supabase uses the latter.[2]

[1]: https://www.postgresql.org/docs/current/logical-replication....

[2]: https://github.com/supabase/realtime

Supabase Realtime is great for building collaborative applications. You can receive database changes over websockets, store and synchronize data about user presence, and broadcast any data to clients via "channels".

We use :telemetry to collect usage data per tenant for Supabase Realtime.

We do this for rate limiting but it also makes it very easy for us to attach a listener (https://github.com/supabase/realtime/blob/main/lib/realtime/...) which ships these (per second) aggregates to BigQuery (via Logflare), which then the billing team can aggregate further to display and actually bill people with.

Yo :D This is what Supabase Realtime does!

https://github.com/supabase/realtime

Spin up a Supabase database and then subscribe to changes with WebSockets.

You can play with it here once you have a db: https://realtime.supabase.com/inspector/new

Every project is a Postgres database, wrapped in a suite of tools like Auth, Storage, Edge Functions, Realtime and Vectors, and encompassed by API middleware and logs.

Where can I learn more about this? I've been thinking of trying to integrate Supabase Realtime (https://github.com/supabase/realtime) into my Django app (without the rest of Supabase), but I'd also like to keep things even simpler if possible.

Also, what was the reason not to go with Gevent?

I believe #2 was the main driver for the supabase team to build their real-time component: https://github.com/supabase/realtime

Background/announcement: https://supabase.com/blog/supabase-realtime-multiplayer-gene...

As a minor note, one of the linked articles talks about having used RethinkDB for its changefeeds and I made a mental note a bit back that if I ever want that supabase's realtime ( https://github.com/supabase/realtime ) provides something rather like that atop Postgres and I should try that before doing anything clever.