We performed a comparison between Grafana and Prometheus based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Users prefer Grafana to Prometheus because it has better visualization tools, more customizable graphs, and a more user-friendly interface. Although Prometheus is known for its flexibility and integration capabilities, it lacks user-friendliness and reporting capabilities. Furthermore, Grafana provides better customer service and support, with a helpful community and good documentation.
"Grafana's built-in integration with third-party tools, databases, and MQs is an amazing feature."
"Visualisation: It is easy to create beautiful, understanding graphs, snapshots to share the graphs with people who do not have access to Grafana, and templating to create powerful graphs."
"What I found most valuable in Grafana is that it has a lot of integrations and features that I need for data processing and visualization."
"The best feature was the creation of graphs and trends."
"The dashboards are very easy to work with."
"It integrates well with other solutions."
"We like the alert features."
"The initial setup is straightforward with just a few clicks on the solution's cloud."
"It is highly valuable as it serves as the foundation for our infrastructure monitoring tools."
"It is an efficient solution."
"Prometheus gives us high availability automatically."
"The feature I found most valuable is the number of integrations. It is the industry standard for metrics."
"The solution offers an easy way to install and scratch values."
"The sky is the limit because the solution is a flexible open box that can be used vastly to do anything you need to monitor applications."
"The product's initial setup phase is very easy."
"The most valuable feature is that we can receive information in different formats."
"The formatting could be better."
"I had issues with the solution's configuration part."
"Setting up alerts via Grafana is a bit complicated, and alerting needs to improve."
"Lacks event management which affects our DevOps people."
"Its UI features to create charts can also be improved. Some features could have a link to the documentation."
"The product's configuration for saving files could be improved."
"More dashboard is required, out-of-the-box, for OpenNMS."
"I would like the ability to download my results into any format in order to share the information with my clients."
"The setup process could be more straightforward."
"The query language in Prometheus is an area of concern where improvements are required."
"One potential area for improvement would be fixing the occasional glitches and bugs."
"Prometheus can definitely improve its visualization. For example, the matrices represented in Prometheus do not have a very good visualization on their dashboard."
"The solution's error handling part could be improved."
"Its stability could be even better."
"The alert functionality is kind of lackluster."
"The solution has shortcomings regarding security monitoring-oriented features to support custom use cases, like out-of-the-box test scenarios and threat-related use cases of its users."
Grafana is ranked 6th in Application Performance Monitoring (APM) and Observability with 39 reviews while Prometheus is ranked 9th in Application Performance Monitoring (APM) and Observability with 32 reviews. Grafana is rated 8.0, while Prometheus is rated 8.4. The top reviewer of Grafana writes "Agent-free with great dashboards and an active community". On the other hand, the top reviewer of Prometheus writes "A very flexible open box that can be used vastly to do anything you need". Grafana is most compared with New Relic, Azure Monitor, Sentry, Dynatrace and Elastic Observability, whereas Prometheus is most compared with Azure Monitor, New Relic, Dynatrace, Sentry and Instana Dynamic APM. See our Grafana vs. Prometheus report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.