pgDash
In-depth PostgreSQL monitoring and diagnostics
Founded
2017
Starting Price
$100
Category
Developer Tools
Last updated July 10, 2026
About pgDash
pgDash is a comprehensive diagnostic and monitoring solution built specifically for PostgreSQL. It collects and visualizes deep engine internals like query plans, locks, replication lag, table and index bloat, and backend activity, then surfaces them through dashboards, time-series graphs, detailed reports, and alerting. Available as SaaS or self-hosted, it works with AWS RDS and Aurora and is built by RapidLoop, the makers of the open-source pgmetrics tool.
Pros & Cons
Pros
- Purpose-built for PostgreSQL with deep visibility into query plans, locks, replication, and bloat that generic APM tools miss
- Single dashboard for performance, capacity planning, and resourcing across an entire Postgres fleet
- Works with AWS RDS and Aurora and integrates with CloudWatch metrics
- Both SaaS and self-hosted / on-premise deployment options available
- Built on the open-source pgmetrics collector, so data collection is transparent and agent-light
Key Features
Query Diagnostics & Plans
Extensive per-query information including time-series graphs, EXPLAIN execution plans with visualizations, and suggestions to improve query performance.
Diagnostics
Automatically scans your PostgreSQL server and databases for potential issues that could impact health and performance.
Replication Monitoring
Tracks primary and standby lag, physical and logical replication slot information, and standby recovery progress.
Tables & Indexes
Shows size, bloat, activity, vacuum and analyze information, and cache efficiency for every table and index, plus identifies unused indexes.
Locks & Backends
See which queries are waiting on which others, track backends waiting on locks, long-running transactions, and idle-in-transaction sessions.
Inspector Dashboards
Pull up dashboards for key subsystem health and performance indicators across your entire fleet of Postgres servers and databases.
Alerting
Pricing
Basic
$100/month
- 2 database servers
- Integrations
- Basic alerting
- 30 days data retention
Pro
$200
Best For
PostgreSQL performance tuning
DBAs use per-query time-series and visualized execution plans to find and fix slow queries and inefficient plans.
Replication health monitoring
Teams running primary/standby setups track replication lag and slot health to avoid failover surprises.
Capacity planning
Bloat, table/index size, and tablespace growth metrics help teams plan storage and vacuum strategies proactively.
Managed cloud database observability
Teams on AWS RDS or Aurora combine pgDash metrics with CloudWatch data for a full picture of managed Postgres instances.
