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MyDBA.dev vs pganalyze: Which PostgreSQL Monitor Should You Choose?

DEV Communityby Philip McClarenceApril 4, 20264 min read0 views
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pganalyze vs MyDBA.dev -- A Practical PostgreSQL Monitoring Comparison I've been running PostgreSQL in production for years, and if there's one thing I've learned about monitoring tools, it's this: the best time to evaluate them is before you need them. Not during a 3am incident when you're staring at a chart that says "something is wrong" but gives you no idea how to fix it. Both pganalyze and MyDBA.dev are PostgreSQL-focused monitoring tools -- not generic infrastructure platforms that treat Postgres as an afterthought. But they have meaningfully different philosophies about what monitoring should do. Here's a practical comparison. pganalyze: The Established Player pganalyze has been around since 2013 and has built genuine depth in several areas. Their index advisor uses hypothetical ind

pganalyze vs MyDBA.dev -- A Practical PostgreSQL Monitoring Comparison

I've been running PostgreSQL in production for years, and if there's one thing I've learned about monitoring tools, it's this: the best time to evaluate them is before you need them. Not during a 3am incident when you're staring at a chart that says "something is wrong" but gives you no idea how to fix it.

Both pganalyze and MyDBA.dev are PostgreSQL-focused monitoring tools -- not generic infrastructure platforms that treat Postgres as an afterthought. But they have meaningfully different philosophies about what monitoring should do. Here's a practical comparison.

pganalyze: The Established Player

pganalyze has been around since 2013 and has built genuine depth in several areas.

Their index advisor uses hypothetical index simulation ("What If?" analysis) to recommend new indexes and predict their performance impact before you create them. You can see estimated query cost reduction for candidate indexes, which is valuable when you're weighing the write overhead of a new index against query speed improvements.

Their VACUUM advisor provides per-table autovacuum tuning recommendations, including freeze age analysis. If you're struggling with autovacuum configuration, pganalyze will tell you exactly which tables need what settings.

Log insights parse your PostgreSQL logs to surface connection errors, lock timeouts, checkpoint warnings, and other events that pg_stat_statements alone misses. This is well-executed and fills a real gap.

The tool is mature, stable, and well-documented. It does what it does reliably.

MyDBA.dev: The Opinionated Newcomer

MyDBA.dev (launched 2025) takes a different stance: monitoring should tell you what's wrong AND hand you the fix. Not just a red chart -- a diagnosis, an explanation, and a SQL script you can copy-paste.

75+ Health Checks with Fix Scripts

This is the core differentiator. MyDBA.dev runs 75+ automated health checks across 12 domains (indexes, vacuum, security, WAL, replication, storage, connections, configuration, queries, extensions, locks, XID). Each failing check includes:

  • A severity score

  • A plain-English explanation

  • A ready-to-run SQL fix script

pganalyze surfaces around 20-30 check-style findings, but doesn't generate fix scripts. At 3am, that difference matters.

Extension Monitoring (The Biggest Gap)

If you run TimescaleDB, pgvector, or PostGIS, this is the deciding factor. MyDBA.dev provides dedicated monitoring for all three:

  • TimescaleDB: chunk health, compression ratios, continuous aggregate staleness, job monitoring, 15+ extension-specific health checks

  • pgvector: index type analysis (IVFFlat vs HNSW), recall estimation, storage analysis, 13 health checks

  • PostGIS: spatial index coverage, geometry quality, SRID consistency, 19 health checks

pganalyze has no extension monitoring whatsoever. For teams whose workload is dominated by extension behavior (time-series ingestion, vector similarity search, spatial queries), this is a significant blind spot.

XID Wraparound Protection

Transaction ID wraparound can force your database into read-only emergency mode. MyDBA.dev provides a dedicated dashboard showing current XID age, tables approaching danger, and -- critically -- blocker detection with recovery scripts. It identifies the specific long-running transaction, abandoned replication slot, or prepared transaction preventing XID advancement, and gives you the command to fix it.

pganalyze shows basic xmin horizon data. When you're racing against an emergency wraparound vacuum, the difference between "your XID age is high" and "this replication slot is the blocker, here's the DROP command" is the difference between a quick fix and an hour of investigation.

Cluster-Aware Index Advisor

MyDBA.dev aggregates index usage across the entire replication topology. An index that looks unused on primary might be serving all your read-replica analytics queries. Dropping it based on primary-only stats would break things. pganalyze evaluates each server independently.

Pricing

This is where it gets interesting.

Plan pganalyze MyDBA.dev

Free None 1 server + 1 replica (all features)

Entry $149/mo (1 server) $19/mo (1 server)

4 servers $349/mo $76/mo

pganalyze has no free tier. MyDBA.dev's free tier includes every feature -- the paid plan adds more servers and longer data retention.

Which Should You Choose?

Choose pganalyze if you need mature VACUUM advisory with per-table recommendations, hypothetical index analysis, or if you're already invested in it and it covers your needs.

Choose MyDBA.dev if you need health checks with remediation scripts, extension monitoring (TimescaleDB/pgvector/PostGIS), XID protection with blocker detection, cluster-aware index analysis, or a free tier to evaluate with production data.

Both are solid, PostgreSQL-focused tools. The right answer depends on your workload. If you run extensions or need remediation guidance, MyDBA.dev. If you need deep VACUUM and hypothetical index analysis, pganalyze. If budget matters, the pricing difference alone may be decisive.

Full comparison with more detail: mydba.dev/blog/mydba-vs-pganalyze

Originally published at mydba.dev/blog/mydba-vs-pganalyze

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