orioledb
rqlite
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orioledb | rqlite | |
---|---|---|
25 | 112 | |
2,631 | 14,862 | |
3.6% | 1.3% | |
9.3 | 9.9 | |
14 days ago | 5 days ago | |
C | Go | |
GNU General Public License v3.0 or later | MIT License |
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orioledb
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Supabase Acquires OrioleDB
hey hn, supabase ceo here
we've been fans of Oriole for a while now and have been long-time supporters
in case you're jumping straight to the comments: OrioleDB is a table storage extension for Postgres. it acts as a drop-in replacement for the default postgres storage engine using the Table Access Method APIs (pluggable storage). the storage engine changes the representation of table data on disk. its architecture is designed to take advantage of modern hardware like SSDs and NVRAM. it implements MVCC, the feature that allows allows multiple connected users to see different versions of the data depending on when their transaction started, via an UNDO log rather than tuple versioning.
one caveat: it requires several patches to the postgres core to expand on the type of features external storage engines extensions can implement. for this reason it could be a while before you see this land as a default engine on supabase. we will probably make it available as an option for customers who want to experiment - no timeline is decided yet.
finally, we have been working with the team on decoupled storage and compute [0]. this is experimental but promising, especially with some recent advances in S3 (specifically Express One Zone [1]). we have a demonstration in the blog post.
i'll message Alexander in case there are any technical questions
[0] https://github.com/orioledb/orioledb/blob/main/doc/usage.md#...
[1] https://aws.amazon.com/s3/storage-classes/express-one-zone/
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Jepsen: MySQL 8.0.34
When I saw "cloud native" I was expecting S3-ish the way Neon does it but they say it's experimental: https://github.com/orioledb/orioledb/blob/beta4/doc/usage.md... and for them to say "beta, don't use in production" and then a separate "experimental" label must make it really bad
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When Did Postgres Become Cool?
There are some interesting things in development to potentially solve that problem.
Here's a recent HN submission about OrioleDB of the more promising ones: https://news.ycombinator.com/item?id=36740921
Source code: https://github.com/orioledb/orioledb
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PostgreSQL: No More Vacuum, No More Bloat
https://github.com/orioledb/orioledb/blob/main/doc/arch.md
> - PostgreSQL is very conservative (maybe extremely) conservative about data safety (mostly achieved via fsync-ing at the right times), and that propagates through the IO stack, including SSD firmware, to cause slowdowns
This is why our first goal is to become pure extension. Becoming part of PostgreSQL would require test of time.
> - MVCC is very nice for concurrent access - the Oriole doc doesn't say with what concurrency are the graphs achieved
Good catch. I've added information about VM type and concurrency to the blog post.
> - The title of the Oriole doc and its intro text center about solving VACUUM, which is of course a good goal, but I don't think they show that the "square wave" graphs they achieve for PostgreSQL are really in majority caused by VACUUM. Other benchmarks, like Percona's (https://www.percona.com/blog/evaluating-checkpointing-in-pos...) don't yield this very distinctive square wave pattern.
Yes, it's true. The square patters is because of checkpointing. The reason of improvements here is actually not VACUUM, but modification of relevant indexes only (and row-level WAL, which decreases overall IO).
- OrioleDB Reached Beta
- OrioleDB – building a modern cloud-native storage engine for Postgres
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The Part of PostgreSQL We Hate the Most (Multi-Version Concurrency Control)
I took a look at https://github.com/orioledb/orioledb which is a project attempting to remedy some of Postgres' shortcomings, including MVCC. It looks like they're doing something similar to MySQL with a redo log, as well as some other optimizations. So maybe this is the answer.
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Production grade databases in Rust
You don’t need a database written (or rewritten in Rust). we’re working to make Postgres scalable for the next decade too https://github.com/orioledb/orioledb
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Features I'd Like in PostgreSQL
> I’d love to see B-Tree primary storage option. Aka store the row data inside the primary index.
It is coming: https://github.com/orioledb/orioledb
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Supabase-JS v2
sorry to underwhelm!
if you like Neon, then I imagine you like their database branching model? On Friday we announced[0] our 500K investment into OrioleDB, who are working on branching[1], with the plan to upstream these changes into Postgres core.
It would be possible for us to run a fork of Postgres today which supports branching, but our long-term view is that developers would prefer a non-forked version of Postgre (to mitigate any risk of lock-in). So we will work on adding branching to Postgres core in the background, which will be a benefit to the entire Postgres ecosystem.
[0] Announcement:https://supabase.com/blog/supabase-series-b#where-were-going
[1] https://github.com/orioledb/orioledb/wiki/Database-branching
rqlite
- The lightweight, easy-to-use, distributed relational database built on SQLite
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CursusDB – A new scalable distributed document oriented database
Seems like you could do the same with rqlite [1], since SQLite supports JSON.
[1]: https://rqlite.io
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Rqlite 8.0
rqlite[1] creator here, happy to answer any questions about rqlite, this latest release, and how it works.
[1] https://rqlite.io
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Adding new database engine support
I found simple distributed RQlite https://github.com/rqlite/rqlite based on raft and sqlite. How hard is to add it?
- I'm All-In on Server-Side SQLite
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So, you want to deploy on the edge?
rqlite[1] creator here, happy to answer any questions. rqlite also supports read-only nodes, which can also help with reads at the "edge". It probably wouldn't scale to 100s of nodes, it is an option.
"rqlite supports adding read-only nodes. You can use this feature to add read scalability to the cluster if you need a high volume of reads, or want to distribute copies of the data nearer to clients – but don’t want those nodes counted towards the quorum. These types of nodes are also known as non-voting nodes."
[1] https://rqlite.io/
[2] https://rqlite.io/docs/clustering/read-only-nodes/
- LiteFS Cloud: Distributed SQLite with Managed Backups
- Show HN: Rqlite, distributed DB built on SQLite, now runs on MIPS, RISC, PowerPC
- rqlite v7.19.0: the lightweight distributed relational database built on Go, Raft, and SQLite -- now runs on MIPS, PowerPC, and RISC
- rqlite v7.18: the lightweight distributed database built on Go, Raft, and SQLite -- now with new Unified HTTP endpoint for easy reads and writes
What are some alternatives?
neon - Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, branching, and bottomless storage.
dqlite - Embeddable, replicated and fault-tolerant SQL engine.
tsbs - Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data
litestream - Streaming replication for SQLite.
timescale-analytics - Extension for more hyperfunctions, fully compatible with TimescaleDB and PostgreSQL 📈
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.
postgres - PostgreSQL with extensibility and performance patches
bolt
plv8 - V8 Engine Javascript Procedural Language add-on for PostgreSQL
etcd - Distributed reliable key-value store for the most critical data of a distributed system [Moved to: https://github.com/etcd-io/etcd]
promscale - [DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.