Live data from Hacker News

It's 2026, Just Use Postgres

tigerdata.com

111–120 of 349 posts

Re: It's 2026, Just Use Postgres

#113

Caching is mentioned in the article: What do you guys feel about using PostgreSQL for caching instead of Redis? Redis is many times faster, so much that it doesn't seem comparable to me. A lot of data you can get away with just caching in-mem on each node, but when you have many nodes there are valid cases where you really want that distributed cache.

If you want to compare Redis and PostgreSQL as a cache, be sure to measure an unlogged table, as suggested in the article. Much of the slowness of PostgreSQL is to ensure durability and consistency after a crash. If that isn't a concern, disable it. Unlogged tables are automatically truncated after a crash.

Re: It's 2026, Just Use Postgres

#114

No thanks. In 2026 I want HA and replication out of the box without the insanity.

You exceeded the step of maxing out the best server you can buy?

HA is not about exceeding the limits of a server. Its about still serving traffic when that best server I bought goes offline (or has failed memory chip, or a disk or... ).

Re: It's 2026, Just Use Postgres

#115

Earlier quoted context omitted.

I'm in the same boat, the idiosyncrasies of postgres are real; mysql / sqlite are far more predictable.

If you think Postgres has idiosyncrasies… https://sqlite.org/quirks.html

Which one is an issue?

Re: It's 2026, Just Use Postgres

#117
post #15

Blog posts, like academic papers, should have to divulge how AI has been used to write them.

People used to write Medium/Linkedin slop by hand and they didn't have to disclose it. Slopping is its own punishment.

Re: It's 2026, Just Use Postgres

#118
I find myself needing to start something quickly with a bit of login and data/user management.

Postgres won as the starting point again thanks to Supabase.

Re: It's 2026, Just Use Postgres

#119

Earlier quoted context omitted.

The point is really that you can only evaluate which of alternatives is better once you have working product with data big enough - else it's just basically following trends and hoping your barely informed decision won't be wrong.

Agree to disagree here. I see a world where developers need to think about (reasonable) scale from day one, or at least very early. We’ve been seeing this play out at ClickHouse - the need for purpose-built OLAP is reducing from years to months. Also integration with ClickHouse is few weeks of effort for potentially significantly faster performance for analytics.

[flagged]
Post reply on HN