PgCache @PgCache
Smart Read Replica for Postgres. Early Access (AWS): https://t.co/5gI2sClAew Community: https://t.co/2KP69gQ4ys pgcache.com Los Angeles, CA Joined April 2026-
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We built PgCache but we've never met (yet!) That'll change when we head to NYC in a couple weeks for Postgres Summit US/ @pgconfnyc And, if you're in SoHo 9/30 to 10/2, and want to grab a coffee, send us DM --we'd love to connect!
You probably don't need another read replica. What you probably need is the answer to this question: "how much of our read traffic can be cached?" Check yours for free in 2 minutes, locally in your browser, at pgcache [dot] com/fit.
We see a third path for scaling reads on PostgreSQL Path 1 - Read replicas & server upgrades. Path 2 - External caches. Path 3 - CDC-driven smart read replicas. We saw what's possible with PostgreSQL Logical Replication, and thought "it doesn't have to be this complicated."
@HuluWZ built an independent PgCache benchmark with a custom ecomm workload and some slick design choices. No diff on point lookup speed (not our focus)... But he saw 2.9 seconds -> 0.6 ms on a 10M-row join 🔥 dev.to/huluwz/how-i-p…
Independent benchmark of PgCache. 16M rows, published in full. No difference for point lookups, because that's not what we're solving for (0.3ms → 0.3ms). But the 10M-row join? 2.9s → 0.6ms Unpaid, unaffiliated, MIT repo: dev.to/huluwz/how-i-p…
In the age of Logical Replication there's simply no reason a human or agent should have to manually configure invalidation, TTLs ... much less decide which queries get cached. PgCache does it all for you. Check out our benchmark harness. github.com/PgCache/pgcach…
James did some benchmarking, with very interesting results that we shared out last week. But don't take our word for it, here's the harness he used. Take it for a spin, let us know what you think! github.com/PgCache/pgcach…
our talk is today at 9AM PT! Come for the Logical Replication vibes ... Stay for the surprising benefits of caching PostgreSQL data, instead of results! meetup.com/postgres-meetu…
Some updates to the PgCache website: pgcache.com check it out! 👉and don't forget to sign up for our talk tomorrow: Postgres Meetup for All: "Logical Replication is for more than ETL: building PgCache" 9AM PT / 4PM UTC meetup.com/postgres-meetu…
"Logical replication is for more than just ETL" If PostgreSQL replication, caching, and optimization are things you pay attention to... ...then consider this is a friendly neighborhood reminder to block off Wednesday 8/19, 9am PT / 4PM UTC 📆
Next Wednesday August 19th Postgres Meetup for All is hosting @PgCache . As always we'll have a recorded presentation followed by non-recorded open discussion. Join us! meetup.com/postgres-meetu…
When we started PgCache, the goal was: Build an easier cache for Postgres. Didn't expect folks to be so interested with how we're using PostgreSQL Logical Replication to do that. Join us on 8/19 at 9AM PT on Postgres Meetup for All for the inside scoop: meetup.com/postgres-meetu…
The founding team will be presenting on PgCache at Postgres Meetup for All 🐘 Wednesday, August 19 at 9AM PST / 12PM EST. - current status - how we got started, and - surprising discoveries from a year building on PostgreSQL signup here: meetup.com/postgres-meetu…
2 vCPU PgCache in front of RDS, 27M rows of Stack Exchange data. read-only: origin CPU 70% to 3%. throughput 5-6x. p50 15ms to 2.5ms. If you're running a heavy read-only workload on Postgres and want to make things easier for origin ... DM me.
Our friend Kate Gawron built a white-label demand response app for a hackathon, and threw PgCache into the stack. Five grid operators, multi-tenant across four countries, and 489 unit tests is not too shabby for a hackathon build! kategawron.co.uk/2026/06/i-buil…
PgCache doesn't just relay data to users: it keeps a conversation going with origin. I don't know of anyone else doing this for Postgres full blog post👇 pgcache.com/blog/postgres-…
@devXritesh It's a trick question. First tidy up your db before adding complexity to your stack (internals, indexes, proper SQL, etc). Second, and only if needed, put PgCache on there because (a) Redis = work (logic, invalidation, maintenance) and (b) Full Read Replica = overkill.
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