Two weeks ago, we made Top K faster. This week, we made COUNT faster, and explored how real search workloads combine text with filters and sort orders.
paradedb.com/blog/opening-a-…
Two weeks ago, @PlanetScale launched TIN. They benchmarked it against us, and it was very fast. So we spent those two weeks making ParadeDB faster without their tradeoffs.
Today, we are faster than TIN.
paradedb.com/blog/opening-a-…
Lev Kokotov retweeted
ParadeDB is now natively available in Postgres.app for all macOS users out there!
postgresapp.com/extensions/
Are your Postgres servers melting down right now? Congratulations AND you need PG Dog - the founder Lev is one of the world's experts at scaling and sharding databases - he did it for Instacart and his software can do it for you.
If your replicas are falling behind and your IOPS are pegged, it's time.
pgdog.dev/
Lev Kokotov retweeted
hot take: databases should be single-threaded
someone a long time ago decided that database shards should be multi-threaded. ever since then, we've had to worry about transactions, serializability, race conditions, and locking.
instead, we should have single-threaded shards, and shard aggressively and early.
we switched from servers to serverless by building apps with statelessness in mind. it's time to switch from multi-threaded DBs to sharded single-threaded DBs by building apps with sharding in mind.
many will say that you can't JOIN across shards if you do this. but if you're JOINing across shards on your *writer* node you're already doing something wrong in the current world. your read replicas will still be able to JOIN just fine.
that way, scale comes naturally with no extra effort.
sharding sounds hard but is it really harder than worrying about transaction guarantees with every query you do?
(yes, i'm serious. at the very least i think this type of database is extremely underexplored.)




