PgDash
pgDash is an open-source web-based dashboard and insights tool for PostgreSQL databases. It provides visualizations, metrics, and query stats to help developers and DBAs monitor and optimize PostgreSQL performance.
dashboard
insights
postgresql
performance
pgDash: Open-Source PostgreSQL Dashboard
An open-source web-based dashboard for monitoring and optimizing PostgreSQL performance, with visualizations, metrics, and query stats.
What is PgDash?
pgDash is an open-source web-based dashboard and insights tool specifically designed for PostgreSQL databases. It provides developers, DBAs, and analysts with visualizations, metrics, and query stats to help monitor and optimize PostgreSQL database performance.
Some key features of pgDash include:
- Graphs and metrics for visually tracking PostgreSQL load, connections, queries, indexes, locks, and more in real-time
- Insights into slow, frequent, and expensive queries that may be impacting performance
- Query stats showing execution time, calls, I/O, and more for digging deeper into database usage
- Historical trends and long-term averages, not just spot-checks
- Wait event analyzer for diagnosing PostgreSQL bottlenecks
- Auto-refreshing dashboards for continuous visibility as new data arrives
- Role-based access controls for allowing different access levels
- Easy to install and works with cloud or on-premises Postgres deployments
Overall, pgDash aims to provide PostgreSQL developers and administrators with an intuitive web interface and useful visual analytics to better understand database workload, catch issues early, and optimize long-term performance.
PgDash Features
Features
- Real-time dashboard for monitoring PostgreSQL databases
- Visualizations for key metrics like CPU usage, memory usage, query throughput, etc.
- Query stats to identify slow, frequent, and expensive queries
- Database health checks and diagnostics
- Connection and configuration info
- Works with PostgreSQL 9.3 and above
Pricing
- Open Source
Pros
Open source and free to use
Easy to set up and configure
Good for monitoring overall database health
Helpful for optimizing queries and database performance
Web-based so can access from anywhere
Cons
Limited historical data and stats
Not as full-featured as paid alternatives
Requires some knowledge of PostgreSQL to get most value
Only works with PostgreSQL databases
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