A pganalyze alternative for teams without a $149/mo budget
pganalyze is the most comprehensive Postgres
monitoring tool on the market. Query performance over time, deploy
correlation, EXPLAIN ANALYZE capture, plan-stability tracking, index
recommendations, schema-change tracking — used by Atlassian, GitHub, and
Heroku. If you have a database engineer and a budget, it's genuinely better
than the rest of us.
The catch is the price. $149/mo is a "let me ask my CTO" number for a solo founder or a two-person team. If the only thing you actually need is "which deploy slowed this query?", you're paying enterprise pricing for one slice of an enterprise product.
That slice is exactly what pgblame is.
What pgblame does instead
pgblame is a Docker sidecar that reads pg_stat_statements every 60 seconds
and stores per-query deltas. Your Vercel, Railway, or GitHub Actions deploys
land on the same timeline via a webhook, so the dashboard can answer the one
question directly: this query went from 40ms to 800ms — and here's the deploy
that was live when it happened.
| pganalyze | pgblame | |
|---|---|---|
| Price | $149+/mo | $19/mo (free tier) |
| Deploy correlation | ✓ | ✓ |
| Query history | long | 30 days |
pg_stat_statements-based | ✓ | ✓ |
| Language / framework | any | any |
EXPLAIN ANALYZE capture | ✓ | — |
| Index recommendations | ✓ | — |
| Read-only non-superuser role | ✓ | ✓ |
The data foundation is the same — both read pg_stat_statements. The
difference is depth versus price. pgblame keeps the deploy-correlation core and
drops the parts that justify a $149 bill.
Where pganalyze still wins
Being honest here earns more trust than pretending otherwise:
- Plan analysis. pganalyze captures
EXPLAIN ANALYZEand tracks plan stability. That's hard to do well, they've spent years on it, and pgblame doesn't attempt it. - Index recommendations. pganalyze suggests indexes. pgblame doesn't — pgHero already does that well and free.
- Scale. Multi-tenant org accounts, fine-grained roles, audit — pganalyze is built for teams with a DBA. pgblame is one user per workspace.
You can read pg_stat_statements by hand and you can read your deploy log by
hand. What you can't do by hand is join them over time — notice that a query
regressed, and pin it to the deploy that caused it, weeks after the fact. That
join is the whole product, and it's the thing a 2am psql session can't give
you.
Pick the right one
- You have a DBA and DB performance is business-critical → pganalyze. Its depth is worth the price at that headcount.
- You're a small team shipping several times a week and you just need "which deploy did this" → pgblame, at one-eighth the cost.
Not sure your stats are even being collected yet? Start with
how to enable pg_stat_statements, or if
you're on Supabase, see Supabase query performance and its
limits. Setup details live in the
docs.
See which deploy slowed your Postgres — free, no card.
Start free — no cardFAQ
- Is pgblame really a replacement for pganalyze?
- For the deploy-correlation and query-history slice, yes. For EXPLAIN ANALYZE plan capture, index recommendations, and schema-change tracking, no — pganalyze does those and pgblame deliberately doesn't. If those features are why you'd buy pganalyze, buy pganalyze.
- How much cheaper is pgblame?
- pgblame Pro is $19/mo with a real free tier; pganalyze starts around $149/mo. That's roughly one-eighth the price, because pgblame solves a narrower problem.
- Does pgblame need a superuser like some tools?
- No. The agent connects as a read-only role with pg_read_all_stats (or pg_monitor on Supabase) and reads only aggregate stats from pg_stat_statements — never your application rows.
- Can pgblame scale to a large team?
- It's built for solo founders and small teams shipping several times a week. If you have a dedicated database engineer and DB performance is business-critical, pganalyze's depth is worth its price — that's the honest line.