Get things done, without drama.

Thirty PostgreSQL schemas written by coding agents, loaded and measured. The indexes are competent; the cumulative cost is not.

WAIT FOR in PostgreSQL 19 lets a reader block until the replica has replayed a specific LSN. Measured against sticky routing, sleeps, and synchronous commit, on a replica that misses the write 99% of the time.

AlloyDB offers Postgres wire compatibility with a divergent storage engine. A deep-dive review into HTAP claims, ScaNN limits, adaptive autovacuum, and costs

COUNT(DISTINCT) has no combine function, so PostgreSQL can't merge per-worker results: the whole statement drops to one core and a disk-spilling sort. Push the distinctness into a GROUP BY instead and parallel query comes back.

The critics are right: PostgreSQL's MVCC bloats tables and amplifies writes. Oracle, InnoDB, SQL Server, MongoDB, LSM stores, and etcd answer the same four design questions differently, and each pays for it somewhere else.

The rows didn't change; the plan did. RegreSQL 2.0 catches queries that return the right rows the wrong way: plan drift, cardinality error, and regressions verified against production's real PostgreSQL statistics.

Watch a VACUUM cycle with pageinspect, pg_freespace, and pg_visibility: how a dead tuple loses its storage, then its index entry, then its slot, and how the freed space gets reused.

Same query, same rows, different SUM totals in PostgreSQL. The culprit is parallel aggregation over double precision floats, not a bug. Here is the mechanism and the fix.

A single NULL turns NOT IN into a query that silently returns zero rows, and the planner couldn't optimize around it for as long as anyone can remember, until a PostgreSQL 19 patch.

Where pg_stat_statements stops short: the entries it silently evicts, the query text that can vanish, the plans and replicas it never sees, and the query store Postgres still doesn't ship.