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Postgres experts. Monitoring. Every change tested first.

Postgres trouble? We fix it. And we show the evidence.

Slow queries, incidents, a major upgrade you are not looking forward to, growth you are not sure you can handle. Monitoring catches it. Experts fix it. Every change, upgrades included, is tested on a copy of your data before it reaches production.

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Free checkup, no credit card. Your data stays in your environment.

DATABASE HEALTH CONTROL / INTERACTIVE ILLUSTRATION
POSTGRES / HEALTH CONTROL
Signals, continuously checked.

Track query performance, indexes, settings and database risks over time.

What teams call us for

Slow queries and high load.

Find the cause, fix it, confirm it on a copy of your data.

Incidents and corruption.

Fast response, root cause, a fix that is tested before it is applied.

Major upgrades, zero downtime.

PG12 to PG18 and beyond, rehearsed on your data, applied without a maintenance window.

Growth and capacity.

Know what breaks at 10x before it does. Indexes, vacuum, connections, storage.

Already know the problem? Talk to an expert →

Works with any Postgres

  • Amazon RDS
  • Aurora
  • Google Cloud SQL
  • Azure Database
  • Supabase
  • ClickHouse Postgres
  • Kubernetes
  • Self-managed

From the teams we work with

PostgresAI was instrumental in driving us toward zero-downtime upgrades and improving our disaster recovery process, achieving 7 TiB/hour restore speeds. Their commitment to putting developers first aligns perfectly with our open-source philosophy
Oliver Rice, Ph.D.Head of EngineeringSupabase
When you're powering thousands of developer apps, database downtime isn't an option — PostgresAI's expertise over the years culminated in a flawless zero-downtime Postgres upgrade that kept our platform running seamlessly while we scaled for the future.
Harry BrundageCo-founder & CTOGadget
The PostgresAI team's forensic approach to our database incident provided the technical evidence we needed to gain support and resolution with our infrastructure provider, and their subsequent health check showed valuable insights into our platform's scaling needs.
Andrew GershmanStaff SRECinder

01 / Monitor → Diagnose

Catch it before it becomes an incident.

Track around 1,000 metrics across queries, indexes, storage and database risks. Prioritized findings explain what needs attention, what to do next, and what to test first.

MONITOR → DIAGNOSE / ILLUSTRATIVE FINDINGS
H002Needs investigation

Unused index

What we observed
An index has no recorded scans in the observed period.
Why it matters
Every write still maintains it.
What to try next
Check statistics history, workload and constraints before deciding whether to remove it.
See your database findings →
Example data. Select a signal to follow the evidence.Explore health checks →

DBLab / Test on a copy

Every change tested on a full copy first. Upgrades included.

Migrations, index changes, config, major upgrades: we run them on a branch of production-size data in seconds, compare plans and timing, and show you the result before anything touches production. Your engineers and your coding agents get the same branches.

More agents. One shared base. No extra full-copy storage costs.

Full copies

$8,478/month

Storage
10 TiB
Servers
10
Copy ready in
hours, per copy

DBLab branches

$799/month

Storage
~1 TiB + changes
Servers
1, shared
Branch ready in
under 2 seconds

10.6× cheaper, every month (90.5% less).

$0$30k$60k$90k1255075100copies needed →full copies: O(N)DBLab: O(1)
Monthly AWS prices as of 2025, from the DBLab 4.0 announcement: a full copy is an RDS db.r7i.2xlarge ($730) plus 1 TiB of gp2 storage ($117.76). DBLab is DBLab SE on one r7i.2xlarge ($386) with the SE licence ($331) plus 1 TiB of gp3 ($81.92), shared by all branches. O(N): the cost grows with every full copy. O(1): the shared base costs the same however many branches use it. Assumes one instance serves every branch and ignores the storage and compute each branch's own changes need; a single mid-size machine typically runs dozens of branches, so real limits depend on workload. Aurora is left out.

Use DBLab Cloud or run DBLab in your own infrastructure. Once the base copy is ready, each branch is a thin clone that shares its data and stores only its changes. Compute and changed-data storage depend on your workload.

Get started in minutes →

Human or agent, same rule.

Coding agents now propose many database changes. They get the same treatment as our own experts: the change runs on a copy of your data, the evidence is shown, and you approve before production.

How we test changes →

Guardrails

Safe by default.

  • Your keys, your decision. PostgresAI never changes production without your approval.
  • Read-only checkups. Select queries over Postgres's catalog and statistics views, with the pg_monitor role.
  • Plans, never data. Joe returns execution plans and timings, not rows.
  • Keep PII out of testing. Use DBLab Cloud or your own infrastructure. Obfuscate sensitive data before it reaches agents and non-production environments.
  • SOC2

Trusted on production Postgres at

In trouble now? Talk to an expert today.

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Not on fire? Start with a free checkup or continuous monitoring. See pricing →

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