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supabase/supabase

版本发布时间: 2023-10-06 17:23:55

supabase/supabase最新发布版本:1.24.08(2024-09-17 03:37:55)

Broadcast realtime messages via REST API

Broadcast realtime messages via REST API

You can now broadcast Realtime messages to all your connected users by simply using a REST API call, removing the need to connect to a WebSocket. This will be especially useful with our Edge Functions!

Broadcast docs

Supavisor is now used for connection pooling in all new projects

Supavisor is now used for connection pooling in all new projects

Less than two months ago, we announced Supavisor, our own Postgres connection pooler that handles millions of connections. It’s now available in all new projects. You can continue using pgbouncer alongside Supavisor, however, it will be deprecated effective January 15th, 2024.

Learn more

Moving to IPV6 for Database Connection Strings

With IPv4 addresses becoming increasingly scarce and cloud providers starting to charge for it, we won’t be assigning IPv4 addresses to Supabase projects from January 15th, 2024. [db.projectref.supabase.co](http://db.projectref.supabase.co) will start resolving to a IPv6 address instead. If you plan on connecting to your database directly, you must ensure that your network can communicate over IPv6. Supavisor will continue to return IPv4 addresses, so you can update your applications to connect to Supavisor instead.

Learn more

New Foreign Data Wrapper: Airtable

New Foreign Data Wrapper: Airtable

Introducing the latest addition to our Wrappers lineup: Airtable! You can use it to query data from your Airtable bases and tables directly from Postgres:

select * from my_airtable_table;
# data from Airtable

Read the Airtable Wrapper docs Learn about Wrappers

Supabase Studio's latest enhancements

Supabase Studio's latest enhancements

Supabase Studio is under constant improvement, here is what’s new:

Try them out

HNSW Support for Vecs + pgvector

HNSW Support for Vecs + pgvector

Added HNSW support inside Vecs, our Python library for pgvector. Vecs automatically creates schemas and collections inside your database, making it one of the easiest ways to get started with pgvector.

Read the HNSW docs

Quick product announcements

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