citus
realtime
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citus | realtime | |
---|---|---|
61 | 54 | |
9,801 | 6,460 | |
3.3% | 1.3% | |
9.5 | 9.0 | |
7 days ago | 2 days ago | |
C | Elixir | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
citus
- SPQR 1.3.0: a production-ready system for horizontal scaling of PostgreSQL
- Citus: PostgreSQL extension that transforms Postgres into a distributed database
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Figma's Databases team lived to tell the scale
I see they don't mention Citus (https://github.com/citusdata/citus), which is already a fairly mature native Postgres extension. From the details given in the article, in sounds like they just reimplemented it.
I wonder if they were unaware of it or disregarded it for a reason —I currently am in a similar situation as the one described in the blog, trying to shard a massive Postgres DB.
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PostgreSQL Is Enough
It is possible, if you pay for it. You can do Multi-AZ Clustered Instances in RDS, where you get the benefits of Multi-AZ failover with traffic sharing.
If you can run your own infra – at least on an EC2 level – you can do things like Citus [0] for Postgres, which is about as close to "just add database nodes" as you'll get.
[0]: https://www.citusdata.com/
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Vitess 18
So while searching for something like this for postgres I came across citus. Any one know how that stacks up?
https://github.com/citusdata/citus
- In-Depth Guide: Citus Technical Readme
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Revolutionizing Database Scaling with CitusDB
References: CitusDB
- Squeeze the hell out of the system you have
- Show HN: Hydra 1.0 – open-source column-oriented Postgres
- Schema-based sharding comes to PostgreSQL with Citus
realtime
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A Technical Dive into PostgreSQL's replication mechanisms
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
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Supabase Studio: AI Assistant and User Impersonation
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".
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Unpacking Elixir: Observability
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.
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All the ways to capture changes in Postgres
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
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Supabase Local Dev: migrations, branching, and observability
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.
- Sync client state globally over WebSockets in Realtime
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Writing a chat application in Django 4.2 using async StreamingHttpResponse
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?
- Supabase Realtime – Broadcast, Presence, and Postgres Changes via WebSockets
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How to Listen to Database Changes Using Postgres Triggers in Elixir
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...
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How To Kill A Fly With A Shotgun
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.
What are some alternatives?
Greenplum - Greenplum Database - Massively Parallel PostgreSQL for Analytics. An open-source massively parallel data platform for analytics, machine learning and AI.
supabase - The open source Firebase alternative.
yugabyte-db - YugabyteDB - the cloud native distributed SQL database for mission-critical applications.
debezium - Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
vitess - Vitess is a database clustering system for horizontal scaling of MySQL.
Appwrite - Build like a team of hundreds_
TimescaleDB - An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
blockscout - Blockchain explorer for Ethereum based network and a tool for inspecting and analyzing EVM based blockchains.
dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
litestream - Streaming replication for SQLite.
stolon - PostgreSQL cloud native High Availability and more.
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.