We performed a comparison between Datadog and Sentry based on real PeerSpot user reviews.
Find out in this report how the two Application Performance Management (APM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"We have found that we're able to get in and out of troubleshooting issues much more rapidly, which in turn, of course, enables us to spend more time on our products."
"It is easy to implement and scale applications with standardized visibility, monitoring and alerting"
"The flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast."
"The most valuable aspect of the solution is the APM."
"It is easy to navigate the menu and create tests."
"The most valuable feature we have found with Sentry is the security that it provides."
"Great for capturing application performance metrics and error logs."
"It's a great visibility tool for the developer team."
"The stability is very good for Sentry and in general works well."
"The most valuable feature is the ability to create and assign rules and give access to particular users."
"The solution is user-friendly."
"Sentry is more accurate than some other tools such as Datadog because it has more integration with Slack, GitLab, Jira, or other ticketing tools."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
"The sheer amount of products that are included can be overwhelming."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"The logging could be improved in the future."
"Alerting timing should be improved to be more fine-tuned and exact."
"The ease of implementation needs improvement."
"The log centralization and analysis could be improved in Sentry."
"We cannot restrict particular columns on particular data. It would be helpful if that feature was improved."
"Lacks user metric tracking and the ability to create more dashboards."
"The settings for an administrator are complex."
"The price could be lowered."
"I would like to have alert policies and alert conditions enhanced in the next release."
"I would like to see a role registration feature added."
Datadog is ranked 1st in Application Performance Management (APM) with 108 reviews while Sentry is ranked 15th in Application Performance Management (APM) with 7 reviews. Datadog is rated 8.6, while Sentry is rated 8.6. The top reviewer of Datadog writes "Easy to set up and good UI but needs better customization capabilities". On the other hand, the top reviewer of Sentry writes "Great at tracking error logs; provides a rich context with regards to the code and tracing issues ". Datadog is most compared with Dynatrace, New Relic, Azure Monitor, Splunk Enterprise Security and AppDynamics, whereas Sentry is most compared with New Relic, Azure Monitor, Elastic Observability, BugSnag and Honeycomb.io. See our Datadog vs. Sentry report.
See our list of best Application Performance Management (APM) vendors.
We monitor all Application Performance Management (APM) 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.
