pganalyze
pganalyze monitors PostgreSQL database performance, helping teams investigate slow queries, improve indexing and identify operational problems affecting database reliability.
Why it caught my attention
Database performance problems often appear as slow applications, but finding the underlying cause can be difficult. pganalyze connects query behaviour, execution plans and database health in one place, making it easier to investigate whether a slowdown comes from inefficient SQL, missing indexes or operational issues.
What problem does this actually solve?
pganalyze could be worth considering if you recognise any of these challenges.
Slow queries are difficult to identify
Pinpoint queries consuming database time and investigate performance changes before they become persistent application problems.
Indexes are missing or inefficient
Analyse actual query workloads to identify potentially useful indexes and existing indexes that create unnecessary overhead.
Database maintenance problems go unnoticed
Highlight vacuum inefficiencies, table bloat and transaction-related risks that can affect long-term PostgreSQL stability.
Production incidents take too long
Investigate blocking queries, connection activity and replication issues using database-specific statistics and diagnostic information.
Is this a good fit for you?
A quick way to see if pganalyze is relevant for your situation.
- You operate PostgreSQL databases supporting important production applications or services.
- Your team regularly investigates slow queries or unexpected database performance changes.
- You want workload-based recommendations for improving PostgreSQL indexes and queries.
- You manage multiple PostgreSQL instances across supported cloud or self-managed environments.
- You need better visibility into vacuum activity, replication or database health.
- Your databases primarily use engines other than PostgreSQL.
- You only need basic availability checks or occasional database statistics.
How does it work?
In practice, the workflow looks something like this:
Install the pganalyze collector, configure appropriate database access and connect a supported PostgreSQL instance to the monitoring service.
The collector gathers query and database statistics periodically, allowing you to examine activity, workload patterns and performance trends.
Explore expensive queries, execution plans, connection activity and relevant health checks to understand where performance problems originate.
Review available index, query and vacuum recommendations, then test suitable changes against your database workload before applying them.
Track performance after changes and configure supported notifications for emerging problems, such as replication lag or blocking queries.
What else should I know?
A few important things to be aware of before you investigate further.
PostgreSQL compatibility and setup
PostgreSQL 10 or later is required, alongside a collector and appropriate database configuration, including `pg_stat_statements`.
Features depend on your plan
Pricing, historical retention and access to advanced advisers vary by subscription; some optimisation features require Scale or Enterprise.
Cloud and self-hosted deployment
The collector runs in your environment; a fully self-hosted monitoring server is available through Enterprise.
Recommendations need careful validation
Index and vacuum insights rely on collected statistics and estimates; evaluate proposed changes against your workload before implementation.
Think pganalyze could fit your environment?
Visit the pganalyze website to find out more, request a demo or speak to their team.
Something you'd like to know about pganalyze?
Is there something I haven't covered in my research? Send me your question and I'll look into it and reply personally by email.