11 Best PostgreSQL Monitoring Tools in 2026

PostgreSQL is an enterprise-ready, feature-rich database that has been in development since the 1980s. It was created at the Berkeley Computer Sciences Department at the University of California, and it's an advanced, open-source relational database system that supports both SQL (relational) and JSON (non-relational) querying.

Benefits of using PostgreSQL

Data types - thanks to its continuous development and ambition to be the most advanced open-source database system, PostgreSQL supports a wide range of data types, such as documents, primitives, geometry, structures, and more.
Data integrity - PostgreSQL prevents invalid or orphan records by enforcing consistency and integrity through constraints and data rules.
Performance - PostgreSQL gets its performance from parallelized read queries, powerful indexing methods, and multiversion concurrency control.
Damage control, recovery, and reliability - apart from standard practices like backups, PostgreSQL offers one of the highest levels of reliability for your stored data, thanks to sophisticated replication options.
Support and extensibility - PostgreSQL offers almost limitless extensibility and a broad selection of data types.
Text search and international character set support - Postgres supports the majority of international character sets and includes full-text search to speed up querying. The search can also be case- and accent-insensitive.
Support for non-relational data - support for JSON, XML, and Hstore is one of the most forward-looking additions to PostgreSQL.
Open source license - there's no license limit on how widely you deploy PostgreSQL. You can scale your database infrastructure as you see fit, usually guided by the results of your database monitoring.

PostgreSQL use cases

Financial industry - thanks to its full ACID compliance, PostgreSQL is ideal for Online Transaction Processing workloads. On top of that, integrations with mathematical software such as Matlab or R make it a highly capable analytical database.
Government GIS data - with the PostGIS extension, PostgreSQL can process geometric and geographic data. PostGIS is strictly standards-compliant and sets the standard in the open-source GIS community.
Manufacturing - PostgreSQL can speed up innovation and growth through customer-centric processes and supply chain optimization. In industrial manufacturing, you can't afford downtime, so you need a reliable database.
Web technology and NoSQL workloads - PostgreSQL works with all modern web frameworks, like Python's Django, Node.js, Hibernate, Ruby on Rails, and PHP, and its replication features make it easy to scale website projects out as your needs grow.
Scientific data - research, experiments, and other projects generate terabytes of data that need to be stored efficiently, securely, and consistently. PostgreSQL offers a broad array of analytical tools alongside the SQL engine, and you can extend it with your own aggregation functions or custom business logic.

The best PostgreSQL monitoring tools and software in 2026

PostgreSQL is a proven data storage solution, and it only gets better with a reliable monitoring tool alongside it. Let's take a look at the best PostgreSQL monitoring tools in 2026.

1. Better Stack

Better Stack collects PostgreSQL logs and metrics in one place, so you can see a slow query in the logs and the connection spike behind it on the same screen. You can ship logs and metrics with Vector, the OpenTelemetry Collector, or a Prometheus PostgreSQL exporter, and setup takes only a few steps. Integrations also cover Kubernetes, Heroku, Logstash, Rails, Docker, and AWS, so your database sits alongside the rest of your stack.

Better Stack runs on ClickHouse, which keeps searches fast and storage costs well below Elastic Stack-based tools. Live tail shows new log entries as PostgreSQL writes them, and you can jump to the events just before and after an incident to see what changed.

For visualization, you can start from ready-made dashboards for popular services like PostgreSQL, Kubernetes, and Vercel, or build your own charts with drag and drop, SQL, or PromQL. Per-query and per-table metrics can multiply quickly, so Better Stack also gives you tools to keep high-cardinality metrics under control. Anomaly detection alerts can page your on-call engineer directly, since incident management is part of the platform.

Database logs often contain sensitive values, so you can anonymize PII at ingestion. Better Stack is SOC 2 Type 2 and GDPR compliant, stores data in DIN ISO/IEC 27001-certified data centers, and encrypts it with AES-256 at rest and TLS in transit.

The free tier includes 3 GB of logs and 3 GB of traces retained for 3 days, 30 GB of metrics, and 10 monitors and heartbeats. For production workloads, telemetry bundles start at $30 per month, or $25 billed annually, for 40 GB each of logs, traces, and metrics. For critical database alerts, a responder license with unlimited phone call and SMS alerts costs $34 per month, or $29 billed annually.

Main benefits of Better Stack:

PostgreSQL logs and metrics side by side, with ready-made dashboards
SQL, PromQL, and drag-and-drop charts without a separate Grafana setup
PII anonymization at ingestion for sensitive database logs
Built-in on-call and incident management for database alerts

2. pganalyze

pganalyze offers a complex and intuitive solution for monitoring Postgres. pganalyze automatically groups similar query plans together and highlights plans that differ significantly. Visualization emphasizes the role of explanation of the output. Per-query statistics and query drilldowns allow you to identify specific issues like slowdowns for queries over time, I/O vs. CPU time for each query, or buffer cache hit ratio. Intelligent explaining and highlighting help you to find the root cause of an issue faster and prevent it in the future.

pganalyze offers multiple pricing solutions. The Production package starts at $149/month and includes monitoring for 1 database server, 14 days of historic stats, and the pganalyze Index Advisor. The next tier, the Scale package, is priced at $399/month and includes up to 4 database servers, 30 days of historic stats, Log Insights, and query plans using auto_explain. Additional servers on this plan cost $100/month, with read replicas billed at a reduced rate. An Enterprise solution is also available and requires a custom quote.

Main Benefits of pganalyze:

Customizable Historic Statistics Retention Time
Detailed Query Performance Insights
Automatic collection of Explain plans
EXPLAIN Visualization and Insights
Real-Time metrics.

3. pgDash

pgDash offers a diagnostic and monitoring solution for PostgreSQL with comprehensive visualization of metrics, available as both a SaaS and a self-hosted option. It works by collecting data in JSON format using its open-source pgmetrics tool and sending it regularly via a command-line tool. pgDash collects information about each SQL query executed and offers suggestions to improve query performance. You can also monitor replication metrics, information about each table and index, track backends, and view system information.

pgDash is available from $100/month in the Basic package, which includes monitoring for 2 database servers, integrations, and basic alerting. The Pro plan at $200/month increases this to 5 database servers and adds Change Alerting and Teams features. Additional servers can be added to the Pro plan for $50/server/month.

For billing purposes, pgDash counts each PostgreSQL cluster or cloud instance (like an AWS RDS primary or replica) as one server. An Enterprise package is available for those needing to monitor over 20 servers. While there is no permanent free plan, pgDash offers a 14-day free trial.

Main Benefits of pgDash:

Database-focused monitoring solution
Available as SaaS or self-hosted
Detailed query performance insights
Enterprise-ready

4. Datapace

Datapace picks up where tools like pganalyze and pgDash stop. Instead of showing you a slow query and leaving the fix to you, Datapace uses AI agents to propose the work itself, such as a query fix, an instance right-sizing, or an overdue engine upgrade, and nothing runs until someone on your team approves it. It's built for teams that already know what their charts say and want help acting on them safely.

Datapace starts by connecting to your databases with scoped, read-only access and building a graph of your estate: what each table means, how tables relate, and the infrastructure around them, including instance class, storage, cost, performance, and usage. Every inferred meaning carries a confidence score, and your engineers confirm or reject it in a few working sessions, so the result becomes living documentation that both people and AI tools can trust. On top of that graph, FinOps, Performance, Quality, and Migration agents flag oversized instances, idle databases, slow queries, and drift, each with the evidence behind the proposal.

Governance is the core of the product. Every action an agent or a person takes through Datapace is policy-checked, risky changes pause for human approval, and everything is recorded in an audit ledger. Other AI tools, such as copilots, BI tools, and MCP clients, reach your data through the same governed graph rather than raw database access. You also bring your own LLM, since Datapace provides the graph and the gateway but not the model.

Datapace isn't PostgreSQL-only. It supports PostgreSQL and managed Postgres services like Amazon Aurora, Google Cloud SQL, Neon, Supabase, and Timescale, alongside MySQL, SQL Server, Oracle, MongoDB, and more, which makes it a fit for teams running several engines at once. It's aimed at in-house database teams at mid-size and large companies, managed service providers, and data migration integrators.

Datapace is pre-launch and doesn't publish pricing. It's currently onboarding design partners, with terms agreed per engagement, and early partners keep preferential terms once public pricing launches. Getting started means booking a call with the founders.

Main Benefits of Datapace:

AI agents that propose slow query fixes, right-sizing, and upgrades with supporting evidence
Human approval before any change runs, plus a complete audit ledger
Living documentation of your schema, confirmed by your own engineers
Governed database access for copilots and MCP clients
Works across PostgreSQL and many other database engines

5. Sematext

PostgreSQL monitoring is handled by an integration within Sematext Monitoring. The focus is on logs, on-premises and cloud infrastructure, tracing, and performance monitoring. The PostgreSQL Monitoring integration collects all the relevant stats, like the number of rows and connections, or index and function-specific metrics, and then displays them in built-in dashboards. The PostgreSQL Logs integration, in cooperation with the Monitoring integration, gives you a complete view of your database and helps you identify errors, slow queries, or trends that need your attention. This cooperation also comes in handy when doing root-cause analysis.

Sematext offers a 14-day free trial for its monitoring solutions. For complete PostgreSQL monitoring, you would typically use two integrated services: Infrastructure Monitoring and Log Management.

Infrastructure Monitoring is priced per host, with plans starting at $2.80/host/month (Basic, 1-day retention), $3.60/host/month (Standard, longer retention), and $5.76/host/month (Pro, which adds anomaly detection).
Log Management for analyzing PostgreSQL logs is a separate plan that starts at $5/month.

Main Benefits of Sematext

Slow query analysis
Built-in dashboards for logs and metrics
Metrics correlation
Anomaly detection (on Pro plan)

6. AppDynamics

AppDynamics is now part of the Splunk Observability portfolio, positioned as a solution for full-stack observability, especially for hybrid and on-premise applications. It helps correlate metrics from infrastructure, databases, and applications to provide insights and performance recommendations. While powerful, its comprehensive feature set can be complex and is often better suited for experienced users. The integration into the Splunk ecosystem means you can now leverage Splunk's AI and data platform capabilities.

With the new branding, the pricing structure has changed. For focused database monitoring, the standalone Splunk AppDynamics product is available starting at $6 per month, per CPU core. Alternatively, it can be consumed as part of the bundled Splunk Observability Cloud, where the App & Infra plan starts at $60 per host, per month, and includes both APM and infrastructure monitoring. A free trial is available to test the platform.

Main Benefits of AppDynamics:

Integration with the broader Splunk portfolio
Strong focus on correlating APM with database performance
AI-powered anomaly detection and root cause analysis
Real User Monitoring (RUM) solution

7. Nagios Core

Nagios offers an open-source network and infrastructure monitoring tool. Using the PostgreSQL extension, you can export PostgreSQL metrics, analyze them and set up alerts. Apart from PostgreSQL, you can monitor key system resources and network protocols like SMTP, POP3, SSH, and HTTP. Nagios supports system-level metrics collection and monitoring and can be run in a self-hosted environment in a private network. While Nagios offers a powerful open-source solution, you don't get access to features like query analysis or intelligent recommendations.

Main Benefits of Nagios:

Third-party integrations
Variety of Open Source front-ends crafted by the community
Additional projects that extend Nagios Core functionality.

8. Datadog PostgreSQL

Using Datadog, you can monitor your PostgreSQL performance. It helps you to identify problematic queries with metrics such as average latency, or total execution time. Datadog allows you to monitor key database metrics alongside the rest of your stack. With over 900 vendor-backed integrations, deploying it is rather seamless. Using Datadog, you can optimize database performance, reduce MTTR, prevent outages, and ultimately increase company revenue. Datadog Database Monitoring allows you to centralize metrics from all of your databases in one place. Then you can dig deeper into the data and identify performance-related patterns.

Datadog offers two levels of PostgreSQL monitoring. Basic metric collection is included with the standard Infrastructure Monitoring plan, which starts at $15 per host/month. For deep query analysis, explain plans, and wait event analysis, you need the dedicated Database Monitoring product. This is an add-on that requires the Infrastructure plan and starts at $70 per database host/month. Therefore, the total starting cost for comprehensive PostgreSQL monitoring on a single host is $85 per month ($15 + $70).

Main Benefits of Datadog:

Full observability achievable
Enterprise-ready solution

9. PRTG

PRTG allows you to monitor Oracle, PostgreSQL, Microsoft SQL, and MySQL environments, making it a suitable solution for a complex database environment. Thanks to the flexible and customizable dashboards, you are always on top of the situation and have an overview of notifications, alarms, logs, and more.

PRTG allows you to see execution times of requests—starting from connection buildup, via query execution, all the way to transaction handling and disconnection times—and use this data to tweak issues such as high latency. PRTG tries to minimize query and return times, which results in a live view of database performance.

PRTG is relatively easy to set up; however, it has a rather difficult learning curve when it comes to benefiting from all of its features. Preconfigured sensors and APIs for admins can help to flatten this curve, but the issue remains.

You can try PRTG for 30 days in a free trial, after which the software reverts to a limited free version. For production use, PRTG offers a subscription model based on the number of 'sensors' (individual metrics) you monitor. The pricing starts with the PRTG 500 plan at $179 per month (when paid annually), which includes 500 sensors to monitor roughly 50 devices. Plans scale up from there to support thousands of sensors for larger environments.

Main benefits of PRTG:

In-depth reporting
Multi-database support (PostgreSQL, MySQL, etc.)
Enterprise-ready, complex tool

10. SolarWinds Database Performance Monitor

SolarWinds is one of the biggest players in the monitoring market. Their PostgreSQL monitoring capabilities are now part of broader solutions, primarily the SolarWinds Observability platform and the Database Performance Analyzer (DPA). The SaaS-based Observability platform provides visibility across your entire stack, while DPA is a cross-platform tool focused specifically on SQL query performance monitoring, analysis, and tuning. These tools collect real-time and historical data, system metrics, and query details, presenting them in customizable dashboards.

SolarWinds does not list public pricing for its database monitoring solutions. Pricing is available upon request by contacting their sales team for a custom quote. Free trials are available for their products, allowing users to evaluate them before purchase.

Main Benefits of Database Performance Monitor:

Offers multiple tools (comprehensive SaaS platform or focused analyzer)
Cross-platform database support
Customizable Dashboards

11. pgWatch

pgWatch is a flexible, self-contained PostgreSQL metrics monitoring and dashboarding solution. It's an open-source tool under the BSD 3-Clause license, meaning you can use it for free in both private and commercial projects. On top of that, you are allowed to make any modifications. pgWatch can be deployed within seconds using Docker and is meant for developers and casual DBAs aiming to get the most out of a monitoring solution with minimal effort. Monitoring starts by you inserting your connection strings via a simple Web interface.

The pgWatch software itself is free and open-source. For users who require dedicated assistance, the company behind pgWatch, CYBERTEC, offers optional paid Product Support plans. These plans provide next-business-day support and early access to updates, with pricing for the 'Light' plan starting at €299 and the 'Pro' plan at €999.

Main Benefits of pgWatch:

Free and open-source software
Very low resource requirements
Kubernetes/OpenShift ready
Intuitive metrics presentation using Grafana
Multiple configuration options

Conclusion

Most of the tools on this list answer the same question, what is PostgreSQL doing right now, and they differ mainly in how deep they dig and what they cost. The real decision is how much of the follow-up work you want your tool to handle. pganalyze and pgDash stop at the diagnosis, Better Stack and Datadog connect it to your wider stack and your on-call rotation, and Datapace goes a step further by drafting the fix for someone to approve.

If your database only needs watching, a lighter tool will serve you well. If you already know what's slow and nobody has time to fix it, a better chart won't help.

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