May 10, 2026
WAL Street Meltdown
5x perf increase on writes with FPW disabled in Postgres
Postgres gets a huge speed glow-up, but the comments are fighting over what it even means
TLDR: A cloud database company says it found a way to make PostgreSQL writes 5 times faster by removing an old safety step that its setup no longer needs. Commenters were split between impressed, confused by the explanation, and deeply annoyed by the trendy "Lakebase" branding.
A database company just dropped a very loud claim: by turning off one old safety feature, it says it made writes 5 times faster, cut worst-case read delays in half, and slashed log traffic by 94%. The trick, in plain English, is that its cloud setup stores data somewhere else, so it no longer has the same "what if the machine crashes mid-save?" problem that regular PostgreSQL has to defend against. In other words: this is less a miracle switch and more a special cloud architecture flex.
And wow, the comment section immediately turned into a mix of applause, side-eye, and naming drama. One executive even jumped in with a cheerful "Happy to answer", which gave the whole thread the energy of a CEO walking directly into the lion enclosure. The biggest pushback came from readers who basically said, hold on, that explanation doesn't fully add up. One commenter flat-out said they didn't follow the read-performance logic, kicking off the classic tech-thread ritual of "huge claim meets forensic nitpicking."
Others were more practical: nice speed boost, sure, but your tiny one-off app is not getting this magic upgrade. That became one of the strongest community reactions — this sounds cool, but only for companies using a very specific cloud design. Then came the petty-but-fun subplot: the name "Lakebase". One reader complained it felt like another trendy rebrand, comparing it to marketing-buzzword offenses like JAMStack. So yes, the product may be faster — but the comments were busiest benchmarking the branding.
Key Points
- •The article claims a disaggregated Postgres architecture achieved 5x higher write throughput, 2x lower read tail latency, and 94% less WAL traffic.
- •Traditional Postgres uses Full Page Writes to protect against torn pages during crash recovery after checkpoints.
- •FPW can significantly inflate WAL volume in write-heavy workloads, with the article stating it can reach up to 15x more log volume.
- •In the described lakebase architecture, compute is stateless and WAL is streamed to a Paxos-based quorum of safekeepers instead of relying on a local data directory.
- •To avoid read-performance regressions after disabling FPW, the system pushes page-image generation into distributed storage via a pageserver that reconstructs pages from materialized images and WAL deltas.