Top 15 PostgreSQL Monitoring Tools in 2025
Imagine your PostgreSQL database slowing down unexpectedly, causing delayed queries, application timeouts, and frustrated users. In a data-driven world, database performance issues can lead to downtime, lost revenue, and poor user experience. PostgreSQL monitoring tools help detect and resolve performance bottlenecks, ensuring optimal database health, efficient query execution, and high availability.
In this article, let's take a quick look at PostgreSQL monitoring, key metrics to track, and essential features to look for in a monitoring tool. We will also explore the top PostgreSQL monitoring tools available in the market, helping you choose the best-fit solution to keep your database running smoothly.
Table of Contents:
- What is PostgreSQL Monitoring?
- Why is PostgreSQL Monitoring Crucial?
- What are PostgreSQL Monitoring Tools?
- Top PostgreSQL Monitoring Tools
What is PostgreSQL Monitoring?
PostgreSQL monitoring involves tracking and analyzing the performance, health, and activity of a PostgreSQL database. This process helps identify issues, optimize performance, and ensure database stability by gathering data on query performance, system resources, and database activity.
Why is PostgreSQL Monitoring Crucial?
By actively tracking key metrics and analysing performance data, you can maintain a high-performing, secure, and reliable PostgreSQL environment.
- Improved Performance: Helps in identifying slow queries, inefficient indexing, and database bottlenecks, leading to optimized query execution and better overall performance.
- Proactive Issue Detection: Monitors key metrics to spot potential issues such as resource exhaustion, database crashes, or replication delays before they affect the application.
- Resource Utilization Management: Tracks CPU, memory, disk, and I/O usage, preventing resource overloading and ensuring efficient use of system resources.
- Enhanced Security: Helps monitor access logs and authentication attempts, ensuring the database is secure and preventing unauthorized access.
- Reduced Downtime: Quickly identifies database outages or performance degradation, allowing for rapid resolution and minimizing downtime.
- Query Optimization: Provides insights into slow and frequently run queries, helping you fine-tune and optimize them for faster execution.
- Compliance and Auditing: Monitors and logs database activity for auditing purposes, ensuring compliance with industry regulations or internal standards.
What are PostgreSQL Monitoring Tools?
PostgreSQL monitoring tools are software solutions designed to help database administrators and developers track, analyse, and manage the performance and health of PostgreSQL databases. These tools provide visibility into various metrics like query performance, system health, resource utilization, and security, enabling teams to optimize database performance, detect issues early, and maintain high availability.
Essential Features of Effective PostgreSQL Monitoring Tools
- Real-Time Performance Metrics: The ability to monitor real-time data on query performance, database health, and system resource usage, ensuring quick detection of issues.
- Query Analysis and Optimization: Tools that analyse query execution times, slow queries, and resource-heavy queries, helping optimize them for better performance.
- Alerting and Notifications: Configurable alerts to notify users of critical issues such as slow queries, high CPU usage, or database outages, enabling proactive troubleshooting.
- Detailed System Insights: Monitoring tools should provide insights into CPU, memory, disk usage, and I/O operations to ensure efficient resource allocation.
- Historical Data Analysis: Access to historical performance data and trends, allowing teams to track performance improvements or degradation over time.
- Integration with Other Tools: The ability to integrate with other observability or monitoring systems to provide a unified view of the infrastructure.
- Security Monitoring: Monitoring of login attempts, access logs, and user activity to identify and mitigate potential security risks.
Top PostgreSQL Monitoring Tools
Below are 15 top PostgreSQL monitoring tools to consider. To determine which one is best suited for your needs, evaluate them based on the essential features mentioned above and consider any additional capabilities your organization may require.
- Atatus
- Prometheus
- pganalyze
- Datadog PostgreSQL
- Nagios Core
- pgDash
- Sematext
- AppDynamics
- Percona Monitoring and Management
- pgAdmin
- PRTG Network Monitor
- pgBadger
- Zabbix
- SolarWinds Database Performance Monitor
- Pgwatch
1. Atatus
Atatus Database Monitoring provides comprehensive insights into PostgreSQL databases, enabling users to track query performance, execution plans, connection details, and system statistics in real time. It also includes InnoDB storage engine telemetry, helping teams optimize database operations efficiently.
With intuitive dashboards and health summary telemetry, Atatus makes it easy to detect PostgreSQL database outages and resolve performance issues before they impact applications.
One of its key strengths is slow query detection, allowing users to pinpoint inefficient queries affecting PostgreSQL responsiveness.
It provides detailed insights into query execution, resource usage, and error conditions, offering a holistic view of transaction details, index optimizations, and performance bottlenecks. This makes Atatus an excellent choice for teams needing deep visibility and proactive monitoring for PostgreSQL databases.
2. Prometheus
Prometheus is an open-source monitoring system designed for collecting time-series data and alerting. It is widely used for PostgreSQL monitoring through the PostgreSQL Exporter, which captures key database metrics like query execution time, connection stats, and cache hit ratios.
With PromQL, users can create custom queries to track database performance in real time.For PostgreSQL users, Prometheus provides real-time monitoring, proactive alerting, and seamless integration with Grafana for visualization.
It helps identify slow queries, resource consumption issues, and database bottlenecks before they affect performance. It is especially useful for Kubernetes-based PostgreSQL deployments due to its scalability and automation capabilities.
3. pganalyze
pganalyze is a PostgreSQL-specific monitoring tool designed to help developers and database administrators optimize query performance and detect inefficiencies. It provides detailed execution plans, query performance insights, and index recommendations, allowing users to improve database efficiency.
The tool also monitors vacuum/autovacuum performance, helping prevent table bloat. With automatic alerting and deep query analytics, pganalyze is great for teams looking to maintain a high-performance PostgreSQL environment.
It detects slow queries, replication lag, and connection pool saturation, enabling proactive troubleshooting. The integration with cloud platforms and self-hosted databases makes it versatile for various deployments.
4. Datadog PostgreSQL
Datadog provides a comprehensive PostgreSQL monitoring solution as part of its cloud-based infrastructure monitoring platform. It collects query performance data, database locks, replication status, and resource utilization metrics in real time.
Datadog’s AI-powered anomaly detection ensures users get notified about unusual database behaviour before it impacts performance. With custom dashboards and advanced analytics, Datadog allows teams to correlate PostgreSQL metrics with application performance, making it easier to pinpoint performance bottlenecks.
It is particularly useful for organizations running PostgreSQL in cloud environments, as it integrates seamlessly with AWS, Azure, and GCP-hosted databases.
5. Nagios Core
Nagios Core is an open-source monitoring tool that supports PostgreSQL performance tracking through its plugin system. It can monitor database uptime, query execution times, connection limits, and disk space usage, ensuring that PostgreSQL remains stable. The tool’s event-driven alerting system notifies users of performance issues or outages.
Since Nagios allows custom script integration, users can build tailored PostgreSQL monitoring solutions suited to their environment. While it requires manual configuration, its flexibility makes it a powerful choice for those who want a lightweight yet highly customizable monitoring setup for PostgreSQL databases.
6. pgDash
pgDash is a dedicated PostgreSQL monitoring tool that provides deep insights into database health and performance. It tracks query execution performance, vacuum/autovacuum operations, index efficiency, and replication lag, allowing database administrators to fine-tune performance and avoid costly slowdowns.
The tool offers real-time dashboards, detailed query analysis, and proactive alerting, making it easier to diagnose performance bottlenecks. pgDash is ideal for teams looking for comprehensive PostgreSQL insights without complex setup, as it provides a user-friendly interface while delivering powerful monitoring capabilities.
7. Sematext
Sematext is a cloud-based monitoring platform that includes PostgreSQL monitoring as part of its infrastructure observability suite. It provides query performance monitoring, index usage analysis, and anomaly detection, ensuring that users can identify and fix slow queries quickly.
Its log management feature allows deeper troubleshooting by correlating database performance with logs.
With real-time alerts for query execution time, high memory usage, and CPU spikes, Sematext helps prevent performance degradation. It supports custom dashboards and integrations with cloud services, making it an excellent choice for teams needing a centralized PostgreSQL monitoring solution.
8. AppDynamics
AppDynamics is an enterprise-grade application performance monitoring (APM) tool that provides deep insights into PostgreSQL query execution, database response times, and transaction health.
It helps organizations track long-running queries, connection pool issues, and inefficient indexing to maintain smooth database operations.
With AI-powered anomaly detection and full-stack observability, AppDynamics allows teams to correlate PostgreSQL performance with overall application health. This makes it particularly useful for businesses running mission-critical applications, as it helps prevent database slowdowns from affecting end-user experience.
9. Percona Monitoring and Management
Percona PMM is an open-source database monitoring solution designed for MySQL, MongoDB, and PostgreSQL. It offers query analytics, performance tuning recommendations, and real-time resource usage tracking to help optimize PostgreSQL efficiency. PMM also supports replication monitoring and connection pool analysis.
This tool is great for both on-premises and cloud PostgreSQL environments, providing custom dashboards and detailed query execution insights. With its free and open-source nature, Percona PMM is a great option for organizations looking for cost-effective yet powerful PostgreSQL monitoring.
10. pgAdmin
pgAdmin is a popular GUI tool for managing and monitoring PostgreSQL databases. While primarily a database management tool, it provides basic monitoring features, including query execution plans, active session tracking, and performance statistics. It helps users analyze long-running queries and index usage.
For teams looking for a lightweight monitoring solution, pgAdmin provides built-in dashboards and real-time performance stats. However, it lacks advanced alerting and anomaly detection, making it best suited for individual developers and small teams needing basic PostgreSQL monitoring.
11. PRTG Network Monitor
PRTG is an all-in-one monitoring solution that includes PostgreSQL database monitoring sensors to track query execution times, database availability, and connection issues. It provides customizable alerts and dashboards, making it easy to detect and troubleshoot database slowdowns.
PRTG is particularly useful for teams needing a centralized monitoring solution that covers not only PostgreSQL but also network and server performance. It offers automated reporting and historical trend analysis, helping database administrators identify long-term performance patterns and optimize resource usage.
12. pgBadger
pgBadger is a fast and lightweight log analyzer for PostgreSQL that provides detailed performance insights based on PostgreSQL logs.
It is designed to help database administrators and developers analyze slow queries, deadlocks, and autovacuum operations without impacting database performance. Since pgBadger processes logs offline, it does not put extra load on the PostgreSQL server.
This tool is particularly useful for teams looking to optimize query execution time, detect performance bottlenecks, and analyze database workload trends. It generates HTML reports with graphs and charts, making it easy to visualize query statistics, track slowest queries, and identify indexing issues for PostgreSQL performance tuning.
13. Zabbix
Zabbix is an enterprise-grade open-source monitoring tool that provides real-time PostgreSQL monitoring with customizable alerts. It uses agent-based and agentless monitoring to track database uptime, query response time, replication status, and resource usage.
The built-in Zabbix templates for PostgreSQL simplify the setup process by automatically collecting key metrics.
For PostgreSQL users, Zabbix ensures proactive database health monitoring by detecting anomalies and triggering alerts based on performance thresholds.
It also supports visualization dashboards that help database administrators quickly analyze PostgreSQL performance trends. With scalability and automation, Zabbix is ideal for teams managing large-scale PostgreSQL deployments.
14. SolarWinds Database Performance Monitor
SolarWinds Database Performance Monitor (DPM) is a cloud-based monitoring tool that provides deep insights into PostgreSQL database health and query performance.
It continuously tracks query execution times, index efficiency, lock contention, and resource utilization, helping teams identify slow queries and optimize indexing strategies.
With real-time alerts and AI-powered anomaly detection, SolarWinds DPM ensures that database issues are detected before they impact application performance.
It also offers historical performance analysis, enabling teams to spot long-term trends and optimize PostgreSQL workloads. Its easy-to-use dashboard and integration with cloud platforms make it a great choice for DevOps and database teams managing high-performance PostgreSQL environments.
15. Pgwatch
Pgwatch is an open-source PostgreSQL monitoring tool that provides detailed insights into query performance, database statistics, and system health. It collects performance metrics directly from PostgreSQL using a lightweight agent, ensuring minimal impact on the database.
Users can monitor multiple PostgreSQL instances from a centralized dashboard, making it ideal for teams managing multiple databases.
With pre-configured dashboards in Grafana, custom alerting, and automated report generation, Pgwatch allows users to track slow queries, analyse table performance, and optimize indexing strategies.
It is an excellent choice for database administrators who want a dedicated PostgreSQL monitoring solution without complex setup requirements.
Conclusion
Choosing the right PostgreSQL monitoring tool is crucial for maintaining database performance, detecting issues early, and ensuring smooth operations. Whether you need real-time metrics, query optimization, or automated alerts, tools like Atatus, Prometheus, and Datadog PostgreSQL offer powerful solutions. Evaluate your requirements and select a tool that best fits your needs for efficient database management.