PostgreSQL for Everything
- ID
- 15990
- Status
- summarized
- Published
- 19 Aug 2026, 9:21 PM
- Fetched
- 21 Aug 2026, 10:35 PM
- Provider
- Hacker News
- Category
- dev-community
- Original URL
- https://www.raphaelbauer.com/posts/postgresql-everything/
- Source URL
- https://hnrss.org/best
Summary
- Score
- 6.0
- Created
- 21 Aug 2026, 10:36 PM
- Tags
- Audience
- developersvibe_codersdatabase_learnerssaas_founders
What happened
A fractional CTO argues for consolidating infrastructure on PostgreSQL, citing personal use since 2003 across full-text search, time-series analytics (via TimescaleDB), and document storage. The core thesis is that Postgres's stability, operational simplicity, and extension ecosystem let you avoid running separate systems like Lucene/Solr alongside your database.
Why it matters
If you're a small team deciding whether to add Elasticsearch, a separate time-series DB, or a document store, this argues you should try Postgres extensions first and avoid the operational cost of syncing and maintaining a second system. The trade-off to weigh: Postgres extensions may not match dedicated systems at scale, but for early-stage or mid-volume workloads the simplicity wins.
Discussion angle
Where does the 'Postgres for everything' approach break down? Share concrete thresholds where teams had to migrate off Postgres extensions to dedicated systems like Elasticsearch or ClickHouse.