pganalyze
pganalyze: Deep PostgreSQL tuning with production plans starting at $149 per month. Ranked #9 of 38 in Database Monitoring by our editors (8.3/10); pricing: 14-day trial; best for postgreSQL specialists needing tuning depth.
At a glance
- Editor score8.3 / 10
- Pricing14-day trial
- Best forPostgreSQL specialists needing tuning depth
- Free planNo
- Paid from$149/mo
- Query profilingYes
- Founded2012
- Facts checked24 Sep 2026
Where it wins
- Detailed query, plan, index, VACUUM, wait, lock, and log analysis
- Production includes Index Advisor, health checks, and team collaboration
- Hosted, API, and self-hosted deployment options support varied environments
Where it doesn't
- Coverage is limited to PostgreSQL
- No free plan is available
- Enterprise requires tailored pricing and annual purchasing
Our verdict on pganalyze
pganalyze is a PostgreSQL performance monitoring and tuning platform for database administrators, developers, and infrastructure teams. It collects query statistics, logs, connection activity, and execution plans, then presents historical analysis, alerts, dashboards, and optimization recommendations. Its focus is PostgreSQL, with support for hosted cloud use, API access, and Enterprise Server deployment on-premises or in a private cloud.
The monthly plans separate core monitoring from deeper tuning and operational controls. Production costs $149 per month for one database server, 14 days of historic statistics, Index Advisor, Automated Health Checks, and Team Collaboration. Scale costs $399 per month and includes up to four database servers, 35 days of historic statistics, Index and Query Advisor, query plans using auto_explain, VACUUM Advisor, and Log Insights with PII filtering. Enterprise adds 100 days of historic statistics, SSO, role-based access control, local deployment, volume discounts, and tailored pricing.
Its strongest fit is teams that need detailed PostgreSQL diagnosis rather than broad database coverage. Per-query performance statistics, automatic EXPLAIN plan collection, plan visualization, index recommendations, VACUUM and autovacuum guidance, wait-event and lock monitoring, and PostgreSQL log analysis create a focused tuning toolkit. Integrations include Amazon RDS and Aurora, Microsoft Azure Flexible Server, Google Cloud SQL and AlloyDB, Heroku Postgres, Crunchy Bridge, Aiven, Supabase, Neon, and self-managed PostgreSQL. Choose pganalyze when PostgreSQL depth and deployment flexibility matter; choose an alternative when one platform must monitor multiple database technologies.
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pganalyze pricing
All 3 pganalyze plans and prices →
pganalyze fact sheet
| Free plan | No |
|---|---|
| Paid from | $149/mo |
| Query profiling | Yes |
| Wait and lock analysis | Yes |
| Execution plans | Yes |
| Supported databases | PostgreSQL |
| Deployment model | Hybrid |
| Data retention | 14 /days |
| Free trial | 14 days · no card needed |
| Deployment | Cloud, Self-hosted |
| Platforms | Web, Linux |
| Compliance & security | SOC 2, SSO/SAML |
| Support | Email, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: Amazon RDS, Amazon Aurora, Microsoft Azure Flexible Server, Google Cloud SQL, AlloyDB, Heroku Postgres … |
| Pricing | 14-day trial (source) |
| Website | pganalyze.com |
| Facts checked | 24 Sep 2026 |
pganalyze integrations
pganalyze lists 10 integrations on its own site.
- Amazon RDS
- Amazon Aurora
- Microsoft Azure Flexible Server
- Google Cloud SQL
- AlloyDB
- Heroku Postgres
- Crunchy Bridge
- Aiven
- Supabase
- Neon
Alternatives to pganalyze
- Percona Monitoring and ManagementA free, self-hosted choice for deep monitoring across databases, queries, and infrastructure.9.3
- Quest Foglight for DatabasesA centralized choice for monitoring and analyzing diverse database environments.9.2
- Redgate MonitorBroad database monitoring for teams managing mixed, multi-platform environments.9.1
See all pganalyze alternatives →
Also Ranked In
pganalyze is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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