PostgreSQL consulting from people who run it in production
PostgreSQL is the default database for a reason: transactional integrity, a serious query planner, JSONB for semi-structured data, and extensions that cover everything from full-text search to time series. But those strengths only show up when the schema, indexes, and configuration match the workload. DEV3LOPCOM, LLC is a 100% onshore consultancy in Austin, Texas that helps teams get Postgres to that point — whether it backs a customer-facing product, an internal API, or the analytics layer your executives read every morning.
Our founder came out of Tableau Software Professional Services, so we’ve spent years watching what happens downstream when a database is modeled carelessly. We design Postgres schemas that applications can write to quickly and analysts can query without a decoder ring.
What an engagement looks like
Assess, design, build, hand off. In the assessment we turn on pg_stat_statements, read the plans behind your slowest queries, review index bloat and autovacuum behavior, and audit backup and recovery posture. The design phase produces a written plan — schema changes, indexing strategy, configuration adjustments, migration steps — with the risky work sequenced first and rollback paths stated explicitly. Then we build it, in migrations your team can review, and close with documentation and a working session so your engineers own the result.
The problems we see most
A short list from real engagements:
- Sequential scans on large tables because the planner’s statistics are stale or an index doesn’t match the predicate. Sometimes the fix is
ANALYZE; sometimes it’s a partial or expression index; sometimes the query itself needs restructuring. - Autovacuum falling behind on high-churn tables, so dead tuples pile up, tables bloat, and every query slows down together. We tune per-table autovacuum settings instead of accepting the global defaults.
- JSONB used as a junk drawer. JSONB is genuinely good, but when core business fields live inside it, you lose type checking, foreign keys, and planner statistics. We pull the load-bearing fields into real columns.
- Connection exhaustion from serverless or heavily concurrent apps. Postgres connections are processes, not threads; past a point you need PgBouncer or a platform that pools for you, such as Neon.
- One database serving both the app and analytics, with each workload ruining the other’s day. We separate them with replicas or a dedicated pipeline into a warehouse.
Why dev3lop
We’ve built data systems under real pressure: pipelines processing trillions of records at Nielsen, streaming data and occupancy dashboards across 80+ campuses for ExxonMobil, and an engineering cleanup at Lever that consolidated 282 SQL queries and saved the team an estimated 22,000 hours a year. The lesson from all of it: database work pays off when it’s connected to what the business actually reads. That’s why our Postgres work often pairs with Tableau consulting and pipeline buildouts rather than stopping at the database boundary.
Next step
Most clients start with a short assessment — we look at your instance, your queries, and your goals, and return a prioritized plan you could execute with or without us. If Postgres is the bottleneck in your product or your reporting, get in touch and describe the symptom. We’ll scope it straight.