tikv VS postgres-ha

I know that very similar functionality to this is in TiDB Serverless ( https://tidbcloud.com ). TiDB is a distributed relational database. It uses TiKV ( which is a key/value engine ) as the storage engine. You could use SQL to access your K/V records. There is ongoing work in TiKV to support S3 directly as the storage backend ( https://github.com/tikv/tikv/issues/6506 ) .

TiKV is basically a layer on top of rocksdb https://github.com/tikv/tikv/blob/956610725039835557e7516828...

> Many,many smart people…

If you look inside the code you can see the stated features are a result of underlying engine (TiKV [0] also in c and rust from pingcap). Surrealdb is standing on shoulders of giants at present, they are TiKV, FoundationDB and rocksdb. The feature set they mentioned mostly coming from TiKV at present.

[0] https://tikv.org/

Hi Diggsey, great question. We are currently focussed on functionality and stability, and then will draw our attention to performance. Coming this week we have a RocksDB storage implementation. We've only just launched our initial beta version, and we know there is a lot of improvement and work to be done (some of these performance issues we know about already and are on our Github issues list).

With regards to the consistency/isolation model, SurrealDB sits on top of a number of key-value stores. By using the distributed highly-available TiKV storage backend, https://tikv.org, (and we have a FoundationDB integration in the works), the database is designed to be highly-scalable and highly-available. The same guarantees (albeit just single-node, so no high-availability or scalability) will be available with the RocksDB implementation coming this week. By sitting on top of these key-value stores, SurrealDB ensures that all transactions are ACID compliant. We don't want to go for speed (for instance by writing to /dev/null) over anything, but want SurrealDB to be a reliable and performant backend for any application. Obviously we have a way to go to catch up with PostgreSQL (launched in 1996), but we will strive to get there!

If you are looking for a production ready distributed store written in Rust. Check out TiKV(https://github.com/tikv/tikv), which was also mentioned in the acknowledge section of the project's README.

There's also a full-featured distributed RDBMS called TiDB built on top of TiKV.

Fly Postgres is just a Fly.io app. You can see the source code for it right here:

https://github.com/fly-apps/postgres-ha

It has some direct `flyctl` integration (which is also open source), but it's not doing anything you can't do yourself if you want.

We do not! You have full administrative access to your postgres. You can create offsite replicas, or even fork the Postgres app we use and deploy over your Fly.io installed postgres: https://github.com/fly-apps/postgres-ha

RDS preventing external streaming replicas is the most annoying thing ever.

Our Postgres is not an RDS replacement. Lots of devs use RDS with Fly. In fact, Postgres on Fly is just a normal Fly app: https://github.com/fly-apps/postgres-ha

Ultimately, we think devs are better off if managed database services come from companies who specialize in those DBs. First party managed DBs trend towards mediocre, all the interesting Postgres features come from Heroku/Crunchy/Timescale/Supabase.

So we're "saving" managed Postgres for one of those folks. For the most part, they're more interested in giving AWS money because very large potential customers do. At some point, though, we'll be big enough to be attractive to DB companies.

Our postgres clusters are just a Fly app: https://github.com/fly-apps/postgres-ha

You could run your own PG by modifying that app. Right now we're calling it "automated" and not managed, though. All alerts about health and other issues go straight to customers, we don't have DBAs that will touch these things yet.