We performed a comparison between Grafana and Sentry based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Grafana offers customization and visually pleasing graphs, integration with various tools, and serves multiple purposes. Its open source nature, better customer support, straightforward setup process, and flexible licensing model give it an edge over Sentry and makes it the preferred solution. Although Sentry is also appreciated for its accuracy, error management, and security features.
"The solution has good features."
"There are multiple kinds of models there to create dashboards, which is quite useful."
"The dashboards are the most valuable features."
"The most valuable thing was that it had a good visualization tool."
"It provides a graphical representation and it's clear to see what's happening."
"Compatibility with Prometheus databases and the Spring Boot application make it the first choice when moving toward an SRE model."
"We can write queries in different languages, which is beneficial for visualization."
"It has good stability."
"The solution is user-friendly."
"Its initial setup process is relatively straightforward."
"Sentry is more accurate than some other tools such as Datadog because it has more integration with Slack, GitLab, Jira, or other ticketing tools."
"Sentry is a pretty stable product... Sentry's documentation is pretty straightforward and neat."
"Great for capturing application performance metrics and error logs."
"The stability is very good for Sentry and in general works well."
"The most valuable feature we have found with Sentry is the security that it provides."
"The product performs well."
"Its interface could be more accessible."
"We need different kinds of applications in our infrastructure to see information in Grafana."
"If there was an issue on one node, we couldn't drill down and see all the issues on other nodes."
"More dashboard is required, out-of-the-box, for OpenNMS."
"There are some areas of network drives that are not showing as expected based on server usage."
"The documentation or training provided by Grafana is limited compared to its competitors, like Splunk."
"It's difficult to see the trends on the graph when the range is too long."
"The solution should include online support."
"Lacks user metric tracking and the ability to create more dashboards."
"The log centralization and analysis could be improved in Sentry."
"To deal with its shortcomings, Sentry needs to continuously improve in areas like the user interface and documentation, apart from its other features."
"It should be easier to integrate Sentry with other tools, and the end-to-end tracing capabilities could be improved."
"The price could be lowered."
"It would be nice if the product provided a map showing the users’ geographic location."
"I would like to see a role registration feature added."
"The settings for an administrator are complex."
Grafana is ranked 6th in Application Performance Monitoring (APM) and Observability with 39 reviews while Sentry is ranked 8th in Application Performance Monitoring (APM) and Observability with 11 reviews. Grafana is rated 8.0, while Sentry is rated 8.6. The top reviewer of Grafana writes "Agent-free with great dashboards and an active community". On the other hand, the top reviewer of Sentry writes "An easy-to-use solution that has a good dashboard, performs well, and provides flexible pricing". Grafana is most compared with New Relic, Azure Monitor, Dynatrace, Elastic Observability and Honeycomb.io, whereas Sentry is most compared with Azure Monitor, Elastic Observability, New Relic, AWS X-Ray and Datadog. See our Grafana vs. Sentry 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.