PostgreSQL is becoming one of the most popular relational databases. You can see this by looking at its growth on DBengine or in the most recent survey of developers on StackOverflow. It is a popular open-source, and as with any other data storage solution, capturing metrics is crucial for making sure your database is reliable and performs optimally. This will help you dig deeper into database performance problems, do performance tuning, optimize queries and indexes, and make partitioning decisions. But that’s not all. You’ll also be able to set up alerts and plan for failures or upgrades.

Here is our list of the six best PostgreSQL Monitoring tools

1. SolarWinds Server & Application Monitor – FREE TRIAL A comprehensive database monitor for databases such as PostgreSQL, MySQL, Apache, MongoDB, and Tomcat, as well as Cassandra. Get a fully functional 30-day free trial.
2. Datadog You will be provided with end-to-end tracing capabilities, which will enable you to identify the application or microservice that is responsible for conducting inefficient queries.
3. AppDynamics It is a database monitor that can keep an eye on PostgreSQL, among other databases, and provides a comprehensive view of database transactions, all the way down to how efficiently the code was written.
4. ManageEngine Applications Manager This facility monitors a variety of relational database management systems (RDMSs), including PostgreSQL. It is part of a suite of infrastructure management tools.
5. Pganalyze It is a tool that can help you enhance performance by determining whether or not a query requires an index to improve performance.
6. ClusterControl A monitoring tool for databases that is capable of keeping an eye on PostgreSQL servers. There are both free and premium versions available.

In this article, we discuss in detail the best PostgreSQL Monitoring tools ranked above.

The Best PostgreSQL Monitoring Tools

1. SolarWinds Server & Application Monitor – FREE TRIAL

SolarWinds Server & Application Monitor is one of the most significant tools in the monitoring industry. The functionality of SolarWinds’ solutions frequently overlaps, which means that for a given task, such as Database Monitoring, you have the option of selecting from numerous solutions and making your choice depending on the other capabilities available.

Key Features:

• Keeps an eye on a variety of applications
• Monitoring of databases as well as hardware resources
• An investigation into queries
• Has the ability to automatically detect in real-time databases, server hardware, and other devices

Over two hundred monitoring templates are included in SolarWinds Server & Application Monitor. These templates are compatible with providers such as PostgreSQL, MySQL, MongoDB, Apache, Tomcat, and Cassandra. There are also over 800 monitoring templates that users have produced and shared on Thwack, which is SolarWinds’ online user community. These monitoring templates can be found on Thwack.

Intelligent alerts keep you abreast of any changes to the performance of PostgreSQL. An alert will be issued to you if the consumption of the CPU is significantly higher than usual. A performance baseline is set, and alerts are given out when there is a divergence from that baseline. Alerts are configured based on criteria, and they are sent out when there is a deviation. The software was developed in a way that reduces the number of false positives.

The PostgreSQL monitoring solution that SolarWinds offers is delivered via SaaS and gathers data through the use of agents. You may use it to monitor your databases in real-time and analyze data from the past. Additionally, you can use it to collect system and core PostgreSQL metrics, get an overview of performance over time, and visualize data in dashboards and notebooks that you can personalize.

Performance monitor, in contrast to another product called Database Performance Analyzer, does not include ML-powered anomaly detection, VM monitoring, or even analytics.

Download: Click here to download and start using this tool.

2. Datadog

Explain plans from each of your databases that may be viewed in a centralized location thanks to Datadog Database Monitoring’s capabilities. Any database professional may immediately identify expensive and slow queries with the help of Database Monitoring and then delve into specific execution details to address bottlenecks. In addition, a correlation between query metrics and host metrics makes it simple to recognize and comprehend the influence that resource restrictions have on database performance.

Key Features:

• Automatic integration with the remaining components of the Datadog platform, such as dashboards, monitors, and SLO tracking, as well as complex formulas and functions
• Compare and contrast the many available plans and display the results
• Monitors connections, requests, and raw access
• Keep an eye on both the host and the instance
• Monitor the state of backups and replications.
• Monitoring of disk space for purposes of capacity planning
• Access control depending on the user’s roles
• Automatically identifies the replication topology

The Datadog APM platform offers trace functionality for PostgreSQL and monitors metrics at the system level. You can use it to monitor application performance and enable end-to-end tracing with your database queries and other service calls. You can also use it to analyze application performance. You will have visibility down to the code level, and a quick root-cause analysis function is included.

The Datadog APM is a fantastic tool that can be integrated with your programs to monitor connections that are opened with your databases. You will be provided with end-to-end tracing capabilities, which will enable you to identify the application or microservice that is responsible for conducting inefficient queries. After that, you can correct them as necessary. Additionally, Datadog provides an agent that can be quickly installed for PostgreSQL. This agent receives data from PostgreSQL and sends it to the Datadog control plane so that it may be seen.

You can optimize database performance using Datadog, thereby reducing Mean Time to Repair (MTTR), preventing outages, and eventually increasing corporate income. You can gather metrics from each of your databases and save them in a centralized location using Datadog Database Monitoring. After that, you will be able to delve further into the data to discover patterns that are related to performance.

You are required to already be using Datadog’s Infrastructure Monitoring package to get access to their Database monitoring.

Datadog is a monitoring software package that is hosted in the cloud that monitors the performance of all resources, ranging from the physical attributes of the server to the user-facing software. An integration that is included in this package provides additional capabilities to interface with and monitor PostgreSQL databases. These features include specific displays and the ability to exchange data.

3. AppDynamics

It is a monitoring tool with a primary focus on the monitoring of application performance in addition to infrastructure monitoring. It does this by collecting a large number of metrics from both your infrastructure and your system and then providing you with insights, dashboards, and performance-enhancing recommendations. AppDynamics provides support for PostgreSQL, which enables users to do in-depth investigations into the utilization of PostgreSQL system resources, drill into queries and examine the database instance objects that are impacted by those queries, and troubleshoot problems in real-time.

Key Features:

• Conducts in-depth analysis of each database transaction
• Infrastructure monitoring
• A correlation between the monitoring metrics and the database metrics regarding the performance of the application
• Metrics at the system level as well as the database level are supported.
• Suggestions for performance enhancement and drill-down reports about queries
• Anomaly detection and alarms enabled by artificial intelligence
• Analyses based on AI technology

AppDynamics presents PostgreSQL instance objects as a solution to the visibility problem it faces. When viewing objects from this perspective, it helps you to have a lot better understanding of the configurations that you now have. You can take a deeper look at a variety of features, like Table Details and Index Information, to name just two examples.

The AppDynamics alerts system derives its functionality from baselines. AppDynamics can collect data on performance and generate baselines so that it can identify abnormal patterns of behavior. Because the alerts and baselines in the program are so advanced, it can reduce the number of false warnings and ensure that you only get important notifications.

The majority of monitoring options, including warnings, are available out of the box. However, this is not an exhaustive list. One of the unique features is called application flow mapping, and it involves AppDynamics learning the behavior of your application and establishing baselines automatically. This then leads to intelligent warnings on the identification of anomalies.

4. ManageEngine Applications Manager

ManageEngine Applications Manager is another leading-edge application monitoring solution, this one provides support for PostgreSQL databases. Information such as buffer statistics, database connection statistics, disk use details, query statistics, table scan details, and many other types of information can be monitored by ManageEngine Applications Manager. The entirety of this data can be shown as charts, allowing one to monitor the metric’s evolution through time. Every graph is simple to understand even at a quick scan.

Key Features:

• Responsible for constructing application dependency maps
• Demand for records resources inside and beneath the database management system
• Includes a pre-configured PostgreSQL monitoring template out of the box
• Records live health metrics in addition to historical data to facilitate long-term monitoring
• It is an excellent choice for those that want to monitor additional environments in addition to their SQL servers
• Extremely comprehensive; all performance metrics for the database, as well as hardware statistics, replication, and session data, are displayed in a single view
• An examination of queries

In addition to that, the software comes with a customizable notifications system. The user is given the ability to set dynamic baselines within ManageEngine Applications Manager, which assists in the identification of performance anomalies when they arise. You can have a more in-depth look beneath the surface thanks to the function known as root cause analysis. In a similar vein, APM Insight enables users to inspect application code as well as SQL queries to determine the source of an issue.

The user can take a look back at any performance concerns that were discovered through the use of the Reports feature. You can view the historical performance of PostgreSQL databases, as well as the performance trends. When it comes to long-term capacity planning, looking at performance trends in reports can be very helpful.

ManageEngine Applications Manager provides a monitoring experience that is not only user-friendly but also very powerful for PostgreSQL. There is a free version of ManageEngine Applications Manager as well as paid versions available (Professional and Enterprise versions). You will need to make direct contact with the company to view the pricing information about the product. You have the option to download the free trial version that lasts for 30 days.

5. Pganalyze

It provides a solution that is both complex and easy to use for monitoring Postgres. Pganalyze will automatically group query plans that are quite similar to one another and call attention to any plans that greatly deviate from one another. The importance of the role of explaining the output is emphasized via visualization. You can discover specific concerns, such as slowdowns for queries over time, I/O versus CPU time for each query, or buffer cache hit ratio, with the use of per-query statistics and query drill-downs.

Key Features:

• A retention period for historic statistics that can be modified
• Insights into the detailed performance of queries
• Compilation of explained plans in an automated fashion
• Describe the visualization, as well as any Insights
• Metrics updated in real-time

Pganalyze provides several different pricing options. Starting with the Production package, which costs $149 per month, you get automated health checks, team collaboration, Pganalyze Index Advisor, and monitoring for one database server. You also get 14 days of past statistics. The Following Scale package costs $349 per month and includes query plans that use auto explain, 30 days’ worth of historical statistics and preset log event filters. Additionally, the package protects personally identifiable information (PII). Enterprise solution is also available and requires a custom quote.

This tool can be used to assist in determining the cause of a query’s sluggish performance. To accomplish this, you can examine statistics like the I/O CVS CPU time ratio and the buffer cache hit ratio to assist in locating the underlying cause.

Pganalyze is a tool that can help you enhance performance by determining whether or not a query requires an index to improve performance. You may uncover the underlying cause of a problem more quickly and take steps to avoid it in the future with the assistance of intelligent explaining and highlighting.

In addition to this, you get unrestricted visibility into the performance history of your database. To locate troublesome queries, you can search through queries and view the Query, Role, AVG TIME (MS), CALLS/MIN, I/O percent, CACHED percent, and percent of All Runtime.

6. ClusterControl

It is a sophisticated monitoring software for databases that is compatible with PostgreSQL. ClusterControl is a database monitoring tool that assists users in monitoring their databases by combining performance monitoring with database automation. You will be able to manage PostgreSQL instances thanks to the software’s database automation capabilities, which automatically install and configure the databases for you. You can configure new or existing replication slaves with the help of PostgreSQL streaming replication.

Key Features:

• Allows for the automated construction of databases
• Right-sizes resource requirements
• Replication of databases to ensure availability at all times
• Ideal for larger PostgreSQL settings
• Facilitates automatic replication and data restoration between clusters
• A new cluster may be up and operating with a simple deployment in less than fifteen minutes

When it comes to managing PostgreSQL, one of the most challenging difficulties to overcome is visibility. By providing a topology viewer, ClusterControl takes a direct approach to address this problem. The topology viewer gives you a bird’s-eye view of how your database is put together and how it’s performing its functions.

Your database will be more protected thanks to the feature that allows for automatic failover and recovery. When a failure occurs, the product will instantly promote a new master node to the position it previously held. In the aftermath of a database event, you also can recover your databases to a point in time before the incident occurred. These features help to ensure that your service will continue to be accessible at all times, regardless of what may occur.

There is a free version of ClusterControl available to the public, in addition to two premium versions. The Community edition is offered at no cost and comes with both real-time monitoring and support from the community.

In the Advanced version, there are capabilities for detecting failure and recovering from it. In addition, reporting and control over access based on roles are included in the Enterprise edition of the software. You will need to make direct contact with the company to view the pricing information about the product.