PostgreSQL consulting for databases that outgrew their original design
Centricone tunes, scales, and migrates PostgreSQL: query plans and indexes, replication and failover, major-version upgrades, and moves off commercial engines.
What we build
What we build with PostgreSQL
Query and index work with evidence
Plans read, indexes chosen against real workload, and before-and-after numbers recorded — not a list of recommended settings.
Replication, failover, and read scaling
Streaming replicas, connection pooling that actually holds under load, and failover exercised rather than assumed.
Migrations onto Postgres
Oracle and SQL Server moves with schema translation, data verification, and a rollback path — plus honesty about the stored-procedure work nobody enjoys.
When PostgreSQL is the right call — and when it is not
We would rather talk you out of a stack than deliver the wrong one well.
Reach for it when
- Transactional workloads that need real integrity guarantees
- Teams wanting to reduce commercial database licensing
- Mixed workloads: relational, JSON documents, full-text search, and vectors in one engine
Pick something else when
- Very large analytical workloads better served by a warehouse like Snowflake or BigQuery
- Workloads locked to vendor-specific features with no viable equivalent
- Teams unwilling to run connection pooling — Postgres punishes that at scale
What we normally run alongside it
No stack is one tool. These are the pieces that usually show up with PostgreSQL on our projects.
- pgBouncer
- TimescaleDB
- pgvector
- Debezium
- Flyway
PostgreSQL questions we get asked
Weighing it against something else? Tell us the constraints and we’ll give you a straight recommendation.