The Best PostgreSQL Monitoring Tools in 2026
PostgreSQL exposes an unusual amount of information about itself. pg_stat_statements records every normalised query with its total time, mean time, row counts and buffer hits. pg_stat_activity shows what every backend is doing right now, including what it is waiting on. pg_stat_user_tables tracks dead tuples and the last time autovacuum touched each relation. pg_stat_progress_vacuum reports live vacuum progress, pg_locks shows the blocking graph, and pg_stat_replication gives you replication lag in bytes. The problem is never a lack of data — it is that all of it is a point-in-time snapshot in a system view, with no history, no alerting and no way to answer the question you actually care about: what changed at 02:00 last Tuesday. A monitoring tool's job is to sample those views on a schedule, keep the history, and make regressions obvious. The seven tools below take very different approaches to that. Some are full observability platforms, some are PostgreSQL-only query analysers, one is a log parser that runs offline, and one is a database client that lets you interrogate the statistics views directly. We compared them on which metrics they collect, whether they capture query plans, how much infrastructure they need, whether they are open source, and what they cost.
Chat2DB
Top pickAn AI-first database client that turns natural language into optimized SQL across MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Redis and 20+ databases. Includes a visual editor, AI-powered optimization and dashboards, with a free open-source Community edition.
Best for: Developers and analysts who want AI-assisted SQL in one client for every database
pganalyze
A commercial PostgreSQL-only monitoring service built around query performance. It ingests pg_stat_statements, EXPLAIN plans and the log file, then surfaces the slowest normalised queries, missing-index suggestions and per-query plan changes over time. Deep rather than broad: it does one engine and does it thoroughly.
Best for: Teams who want deep PostgreSQL query analysis without building it themselves
Visit website →Percona Monitoring and Management
A free, open-source monitoring platform for PostgreSQL, MySQL and MongoDB that bundles Prometheus, Grafana and VictoriaMetrics behind one installer. Ships with Query Analytics, ready-made PostgreSQL dashboards and an advisor system that flags configuration problems.
Best for: Self-hosted, multi-engine monitoring with no licence cost
Visit website →Datadog Database Monitoring
A SaaS observability platform whose Database Monitoring product correlates PostgreSQL query samples, execution plans and wait events with the application traces that issued them. The strongest option when the database is one part of a larger distributed system you already watch in Datadog.
Best for: Organisations already standardised on Datadog for APM and infrastructure
Visit website →Grafana
The standard dashboarding layer for time-series data, with an official ClickHouse data source plugin. It excels at ClickHouse's most common workloads — observability, logs and metrics — but it is a visualisation tool rather than a database client.
Best for: Observability and metrics dashboards built on top of ClickHouse
Visit website →pgwatch
An open-source, self-hosted PostgreSQL monitoring stack from Cybertec. It runs configurable metric-collection presets against your instances, stores them in PostgreSQL, TimescaleDB or Prometheus, and renders them through bundled Grafana dashboards. Agentless, and easy to run from a single container.
Best for: Engineers who want open-source PostgreSQL metrics with full control over collection
Visit website →pgBadger
A single-binary Perl log analyser that turns a PostgreSQL log file into a self-contained HTML report: slowest queries, most frequent queries, temporary file usage, checkpoints, locks, connection churn and error breakdowns. Offline and retrospective rather than live.
Best for: Post-incident analysis and periodic reporting from PostgreSQL logs
Visit website →Our verdict
Chat2DB is our top pick for day-to-day PostgreSQL monitoring because it closes the loop between seeing a problem and fixing it: you can query pg_stat_statements, pg_stat_activity and pg_locks directly, chart the results, and then write and test the corrective SQL in the same window, with AI assistance that understands your actual schema — and the Community edition is free. pganalyze is the strongest dedicated choice if query performance is your main concern and you want plan history and index advice without building any of it. Percona Monitoring and Management is the best free self-hosted platform, and the right answer if you also run MySQL or MongoDB. Datadog Database Monitoring wins when the database has to sit alongside application traces in one timeline. Grafana with postgres_exporter is the most flexible and the most work. pgwatch is the lightest open-source metrics stack, and pgBadger remains unbeatable for turning yesterday's log file into a report you can read on a train.
Try our #1 pick for free
Chat2DB is an AI database client for Windows, macOS and Linux. Connect MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, Redis and 20+ databases, and write SQL in plain language.
Frequently asked questions
What should I monitor in PostgreSQL?
Start with five families of metrics. Query performance from pg_stat_statements: total time, mean time and calls per normalised query, tracked as deltas so you can see which query got slower. Connection state from pg_stat_activity: total backends against max_connections, plus counts of active, idle and — most importantly — idle in transaction, which holds locks and blocks vacuum. Bloat and vacuum health from pg_stat_user_tables: n_dead_tup, last_autovacuum, and the transaction-ID age from pg_class.relfrozenxid so wraparound never surprises you. Replication from pg_stat_replication and pg_replication_slots: lag in bytes per standby, and any inactive slot that is pinning WAL. Finally cache and I/O: the buffer hit ratio from pg_stat_database, temporary file volume (which means work_mem is too small for some query), and checkpoint frequency from pg_stat_bgwriter or pg_stat_checkpointer. Everything else is refinement on top of those five.
Is there a free PostgreSQL monitoring tool?
Several, and they are genuinely good. Percona Monitoring and Management is free and open source, self-hosted, and gives you Query Analytics plus dashboards for PostgreSQL, MySQL and MongoDB out of one installer. pgwatch is open source and lighter, collecting configurable metric sets into PostgreSQL, TimescaleDB or Prometheus with Grafana on top. Grafana paired with postgres_exporter is free if you are willing to assemble and maintain the stack yourself. pgBadger is free and needs no infrastructure at all — point it at a log file and it produces an HTML report. And Chat2DB Community is free for querying and charting the statistics views interactively, which is often what you actually want when you are diagnosing something at 3am rather than watching a wall of dashboards. Download it at https://chat2db.ai/download or use the web version at https://app.chat2db.ai.