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The Elevarq platform

PostgreSQL expertise your engineering team can act on.

For engineering teams operating PostgreSQL — with or without a dedicated DBA. Elevarq turns your database into evidence-grounded findings and implementation-ready fixes, not another dashboard. Its flagship, Elevarq Analyzer, is the senior-DBA read most teams don’t have on staff.

Everything runs in your own infrastructure. See how the platform fits together ↓

Who it's for

Elevarq is built for the teams who operate PostgreSQL — and it speaks to each of them in their own terms.

CTOs & CIOs

De-risk PostgreSQL operations without growing a DBA org. Evidence-grounded triage, lower incident risk, and a read-only, airgap-friendly posture aligned with SOC 2 / ISO 27001 readiness.

DevOps, platform & SRE

Concrete, workflow-ready findings — not another dashboard. Each one lands as a ticket in GitHub, GitLab, Jira, or Linear, with the evidence, the fix, and the rollback attached.

Developers who own the database

Running production PostgreSQL without a senior DBA on staff? Elevarq is that read of the database — it does the investigation and explains what to change, why, and how, in language your team can act on.

Already have DBAs? Elevarq changes their work rather than replacing it — see the DBA transformation on the Analyzer page.

One platform, two product families

Diagnostics understand the database. Operations run the infrastructure. Analyzer is the flagship of the diagnostics side.

PostgreSQL Diagnostics

Understand what the database is doing, and why it changed.

SignalsAnalyzerWorkbench

PostgreSQL Operations

Run the infrastructure the database depends on, in production.

pgAgroal Enterprise

The products

Each does one job. Together they cover both sides of operating PostgreSQL.

Anatomy of a finding
ProblemEvidenceRecommended action
PostgreSQL Diagnostics · FlagshipCommercial

Elevarq Analyzer

Understand why PostgreSQL performance changes over time. Analyzer turns a Signals snapshot into evidence-grounded findings a reviewer can act on — the senior-DBA read of the database most teams don't have on staff.

Explore Analyzer
Elevarq Signals architecture: read-only collection from PostgreSQL targets into local snapshots
PostgreSQL DiagnosticsOpen source

Elevarq Signals

Collect PostgreSQL evidence safely using a read-only collector — snapshots of execution stats, wait events, and configuration state, with no writes and no telemetry to Elevarq. Free on GitHub and AWS Marketplace.

Explore Signals
Review to ticket
ReviewApprovePush
PostgreSQL Diagnostics

Elevarq Workbench

Set up your databases and trackers once, then work in the tools you already use. Each finding arrives as a complete, ready-to-ship ticket in GitHub, GitLab, Jira, or Linear — reviewed and shipped in your team's normal ticket workflow.

See the workflow
pgAgroal Enterprise Grafana dashboard: connections, pool saturation, and health
PostgreSQL OperationsCommercial

pgAgroal Enterprise

Operate PostgreSQL connection pooling consistently across production Kubernetes environments — fleet inventory, hardened deployment, health-gated upgrades, and compliance evidence, with standard pgagroal underneath.

Explore pgAgroal Enterprise

Two complementary paths to the same database

Elevarq operates PostgreSQL from two directions: understanding the database, and operating the infrastructure it depends on.

Understand the databaseread-only
SignalsAnalyzerWorkbenchGitHub · Jira · your tracker
Operate the infrastructuredata path
ApplicationspgAgroal EnterprisePostgreSQL

The diagnostics path never touches the query path — Signals reads statistics with a monitoring role. The operations path sits in the live connection path but is standard pgagroal, so the two run against the same database without competing for it.

Why we built both

We started with one recurring production problem: understanding why PostgreSQL performance changes over time. That is Analyzer, and the Signals collector and Workbench that feed and finish it.

Working in production environments surfaced a second problem that kept showing up next to the first — running connection pools consistently across Kubernetes fleets, through upgrades, without each team rebuilding the same safe defaults. That became pgAgroal Enterprise.

Diagnosing the database and operating its infrastructure are different jobs, but the teams doing them are usually the same teams. So both belong in one platform.

What's open source, what's commercial

The collector and the base pooler are free and production-ready. The commercial products are the operational layers built around them.

Open source

Free · production-ready

Inspect the code, run either standalone against any PostgreSQL — no license, no phone-home. Get Signals from GitHub releases or free on AWS Marketplace.

Commercial

Runs in your infrastructure

Offline-activated licenses, airgap-capable. Your data never leaves your environment.

The commercial products don't fork the open ones — fixes to the open collector and pooler go upstream. See the security page for the data-boundary model.

Works with the tracker you already use

Every finding becomes a ticket in the system your team already runs on. Elevarq integrates with GitHub, GitLab, Jira, and Linear — the fix lands where your team already works.

  • GitHub
  • GitLab
  • Jira
  • Linear

GitHub, GitLab, Jira, and Linear are trademarks of their respective owners. Elevarq is not affiliated with, or endorsed by, them.

Start with the flagship, or the free collector.

Explore Analyzer to see how a snapshot becomes an implementable ticket, or download Signals and point it at your own database.

Operating pooling at scale? pgAgroal Enterprise · or talk to us.