OrioleDB isn't a separation of storage and compute, its a more efficient storage engine for Postgres to replace the existing HEAP engine. This is like how in MySQL we could swap MyISAM for InnoDB and eventually RocksDB.
I did some benchmarks on it previously to show how much of an improvement it gives over the stock HEAP engine
EDIT: correct link to the public dashboard below, thanks for the heads up @kiwicopple
There's an experimental feature which separates storage and compute.
Is the need for Oriole negated by using a system that separates storage from compute like Neon, Xata?
(Neon CEO)
Not really. OrioleDB solve the vacuum problem with the introduction of the undo log. Neon gives you scale out storage which is in a way orthogonal to OrielDB. With some work you can run OrioleDB AND neon storage and get benefits of both.
> OrioleDB solve the vacuum problem with the introduction of the undo log.
Way more than just this!
> With some work you can run OrioleDB AND neon storage and get benefits of both.
This would require significant design work, given that significant OrioleDB benefits are derived from row-level WAL.
Answering on behalf of Xata, it is orthogonal. I'm curious to try out Oriole on our platform when I get some time.
fwiw I couldn't access your airtable link, but I found this one online:
https://airtable.com/app7jp5t0dEHyDpa8/shr00etqywoDW2N6N
thanks for running the benchmarks, it helps to have external parties verifying the progress