Most database consultants work with PostgreSQL. We've spent careers working on it — and that difference shapes every answer we give.
There is a version of database consulting that is mostly about running a configuration generator and reading back the output. We have nothing against tools — we have built some ourselves. But a query that takes 4 seconds on your system might take 4 milliseconds on a different storage type, and a parameter change every guide recommends can trigger a cascade of side effects your specific workload hits hard.
You only learn this after seeing enough systems fail in enough different ways. That's the actual product we sell: pattern recognition built over two decades of hands-on PostgreSQL work — not a checklist, and not a generic best-practices document with your company name pasted at the top.
We work on the PostgreSQL ecosystem itself, not just against it as end users. That means the same instincts that go into core infrastructure work — pgpool II, backup tooling, replication internals — go into reading your specific system, too.
Decades of core infrastructure development in the PostgreSQL ecosystem — pgpool II, BART backup tooling, FDW architecture, replication internals, and more. We're not reading the same documentation you are for the first time.
We know how RDS, Aurora, Aiven, and CloudNativePG differ from upstream PostgreSQL, and why those differences matter for your specific tuning and architecture decisions. A recommendation that's correct on bare metal can be wrong on managed infrastructure, and we won't hand you the wrong one because it's the one we know best.
Not what a configuration generator recommends. We read query plans, study your workload pattern, and give a specific diagnosis grounded in your system — not a checklist lifted from a blog post that happened to rank well.
You work with the people doing the work. No account managers relaying your problem to someone else, no junior engineer learning on your production system. If something's unclear at 2am, you're talking to the person who can actually fix it.
"The hardest part of this work isn't knowing the PostgreSQL documentation — it's knowing which parts of it don't apply to your situation. Most advice online is written for an average system that doesn't exist. Ours is written after looking at yours."
— THE SOLIDSTATEDB TEAM
Every engagement — even a quick one — starts by looking at what your system is actually doing: query plans, wait events, table statistics. We don't propose changes before we've seen the data that justifies them.
A health check is a fixed-scope engagement with a clear deliverable — you know what you're getting before you start. Ongoing work is scoped honestly too: we tell you when something is a quick fix and when it's a longer conversation.
You get a written record of what we found and what we recommend — something your team can act on without needing us in the room to explain it again.
Our recommendations are PostgreSQL-native where possible. We're not selling you a proprietary agent or dashboard you'll be stuck maintaining a relationship with — we're solving the problem in front of you.
For engagements where it matters — a complex migration cutover, a regulated or air-gapped environment, an incident that needs eyes on hardware — our engineers work forward deployed: embedded at your premises alongside your team, not just reachable by call. Most work is remote by default; this is available whenever proximity to your system is the actual constraint.
No sales pitch, no obligation — just an honest read on whether we're the right fit for the problem.
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