Comparison · vs pganalyze
pganalyze, más todo lo demás que corres.
Misma profundidad Postgres, más MySQL, Mongo, Redis, ClickHouse, Oracle, SQL Server. Una licencia, una UI, BYOC disponible.
01. Why teams move
What teams say in the first call.
- Postgres-only — adding MySQL, Mongo, Redis means another tool and another bill.
- Per-server pricing scales with fleet size and gets steep past ~20 servers.
- No BYOC / sovereign deployment — SaaS or self-hosted on-prem only, no hybrid.
- Limited multi-cloud and managed-DB ergonomics outside Postgres.
02. Honest take
What pganalyze is genuinely good at.
We’re not interested in trash-talk. Here’s where pganalyze is the right call — useful even if you end up choosing Obsfly, because keeping pganalyze for some workloads can make sense.
- + Postgres index recommendations — best-in-class. Hypothetical-index simulation is genuine engineering.
- + Plan-history visualizations are mature and well-designed.
- + The team is deeply respected in the Postgres community; deep technical content.
- + Self-hosted enterprise option (rare in the category).
03. Side by side
Obsfly vs pganalyze, line by line.
04. The math
Pricing snapshot.
Public list pricing where known; “contact sales” where not. Real bills are usually within 20% of these figures.
05. Switching
How teams actually switch.
Same Postgres data model
Both tools build on pg_stat_statements + auto_explain. Same query digests, same plan capture. Migration is mechanical.
Keep pganalyze for index work
Some teams keep pganalyze for its Index Advisor and use Obsfly for everything else multi-DB. We're not religious about being your only tool.
Side-by-side pilot
Both agents can scrape the same Postgres. Compare for 30 days.
06. FAQ
Common questions.
Is your Postgres integration as deep as pganalyze's?+
Honest answer: pganalyze's index recommendations and hypothetical-index simulation are still ahead of ours. We match on observability — query stats, plan history, lock chains, schema tracking. Index Advisor is on our roadmap.
Can I run both?+
Yes. They don't interfere. Some teams keep pganalyze for index recommendations and use us for the multi-DB pane.
What about Aurora / RDS?+
Both supported. Obsfly and pganalyze both connect via standard libpq with a read-only monitoring user.
Where it shows up
Obsfly for the databases you run.
People also compare
Other tools teams evaluate alongside pganalyze.
vs Datadog DBM
Obsfly vs Datadog DBM
The Datadog DBM alternative for teams that watched the bill triple. Same data model, more databases, AI-native anomaly detection, BYOC and Sovereign deployment, ~1/3 the price.
vs AWS Performance Insights
Obsfly vs AWS Performance Insights
RDS Performance Insights is good for AWS-only fleets. The moment you have GCP, Azure, on-prem, or non-RDS Postgres — you need a unified pane. Obsfly runs across every cloud and every database.
vs Percona PMM
Obsfly vs Percona PMM
PMM is great at zero. The total cost — operators, ZooKeeper-style ops, dashboards-as-code, and the engineer-hours to keep it running — adds up fast. Obsfly gets you to value without the babysitting.
Deep dives
Reading you might want before the call.
Postgres
pg_stat_statements: the complete 2026 guide
Every column, every gotcha, the queries you should run today, and why pg_stat_statements is still the most useful 80 lines of telemetry in Postgres — even with five new alternatives in 2026.
Postgres
Postgres slow queries: 12 causes and how to find each one
A field-tested playbook for diagnosing a slow Postgres query in production — from missing indexes to plan flips to bloated tables — with the SQL to find each cause and the fix.
Postgres
Postgres lock chains: how to find the session blocking yours
A practical walkthrough of pg_locks, pg_blocking_pids, and the recursive CTE that gives you the full chain — including the AccessExclusiveLocks that quietly take your DB down.
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See it on your stack.
20-min comparison demo. Bring real queries from your pganalyze setup; we'll reproduce them in Obsfly live.