We performed a comparison between Dynatrace 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: Dynatrace has more extensive features, including real user monitoring, session replay, and synthetic monitoring. Dynatrace also has superior AI capabilities, and better topology visualization with its Kubernetes module. Sentry is user-friendly and has accurate error management, but users suggest it needs more comprehensive tracking and analytics capabilities, better integration, and lower pricing. Customer service and support quality information for Sentry are limited. Overall, Dynatrace offers more value for its price and has received higher user ratings.
"In terms of AI, I love the base-lining Dynatrace provides us. It baselines the application over a seven-day period; we have it at the default of seven days. The artificial intelligence is so amazing because it can automatically track each transaction and their response times: how much CPU they use, how much memory, resources that they use. If there’s any deviation from that Dynatrace will tell me like right away. If there’s a deployment and the deployment has increased response time or is taking up CPU or has caused a memory leak, I can say, “Hey guys, you need to look at this, it’s this function on this page in this microservice, in this docker container. You need to go here, you need to fix it, it’s not going live.” It has just increased our productivity off the charts."
"Being able to drill down into the PurePaths to get to a solution is key for us."
"You can do deep dive analysis and find root cause quickly."
"Comprehensive suite of solutions that can address all aspects of applications from dev to ops."
"Mean time to root cause analysis decreased drastically."
"We have improved performance by 50% and determined conflicts in the application to eliminate errors."
"The autodiscovery of service intercommunication has saved countless man hours and is dynamically updated when new services are added."
"We also got know many internal code bugs which could have caused memory leaks or other issues which we were not able to catch during that development phase."
"Sentry is more accurate than some other tools such as Datadog because it has more integration with Slack, GitLab, Jira, or other ticketing tools."
"The solution is user-friendly."
"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."
"Sentry is a pretty stable product... Sentry's documentation is pretty straightforward and neat."
"It's a great visibility tool for the developer team."
"The most valuable feature we have found with Sentry is the security that it provides."
"Great for capturing application performance metrics and error logs."
"We'd like it to be more user-friendly, which, in our case, might be a big ask as we have a fairly complex environment."
"Two things that can be improved are the licensing and the Business dashboard."
"The business use case is that most people want to see how many orders came in. I'd like to be able to get data out of JavaScript tags, and capture more data. I think that would make it much more useful, rather than using Google Analytics. Instead, have one tool to capture all the stack, that would make it easy."
"I think scalability is what we're struggling with. I would say it's okay, but there's a little bit of room for improvement."
"I would like a testing module focused on quality gates."
"We would like to see more external tool integration, which is critical for us."
"It requires manual intervention to uninstall the cloud agent from servers you want it removed from."
"I would like to have the ability to share live data with selected third parties so that they can see how their product is performing for our company."
"Lacks user metric tracking and the ability to create more dashboards."
"I would like to have alert policies and alert conditions enhanced in the next release."
"Its debugging feature needs to be faster."
"The price could be lowered."
"We cannot restrict particular columns on particular data. It would be helpful if that feature was improved."
"It should be easier to integrate Sentry with other tools, and the end-to-end tracing capabilities could be improved."
"It would be nice if the product provided a map showing the users’ geographic location."
"The log centralization and analysis could be improved in Sentry."
Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 341 reviews while Sentry is ranked 8th in Application Performance Monitoring (APM) and Observability with 11 reviews. Dynatrace is rated 8.8, while Sentry is rated 8.6. The top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". 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". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and ITRS Geneos, whereas Sentry is most compared with Azure Monitor, Grafana, Elastic Observability, New Relic and Honeycomb.io. See our Dynatrace vs. Sentry report.
See our list of best Application Performance Monitoring (APM) and Observability vendors.
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