We performed a comparison between Dynatrace and Honeycomb.io based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."The Dashboard is very useful, as you can monitor different parameters on the same screen."
"The proactive monitoring that we can do with Dynatrace where it is 24/7 on with all the user experience indexed and everything coming into us."
"We are using Dynatrace for prediction and staging for every step of our development cycle."
"We spend less time on troubleshooting issues since Dynatrace proactively informs us of an impending bottle neck."
"UEM (RUM): User Experience Management (real user monitoring) puts you in "user's seat" and gives you insight into how they experience the application. Often, this gives a totally different view than just watching the backend calls."
"UEM can be used for user impact analysis and troubleshooting."
"Reduced incidents, as alert monitoring aids in quicker resolution of events."
"I have reduced our disruption time. With the automatic alerts, we prevent and better catch the root cause of problems."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"While designing the business dashboard, I encountered various bugs that impacted my work."
"More visibility into Python processes."
"As the product is evolving quickly and product features are added on a monthly basis, a more transparent roadmap would be more than welcome."
"When the tool ingests data from other tools, being able to correlate those with the existing topology, so that the AI engine can draw more conclusions in case Dynatrace does not monitor those instances."
"In the new Dynatrace solution, support for legacy applications is still not there. "
"Another area for improvement is that I would like the alerting to be set up a little bit more easily. Currently, it takes a lot of work to add alerting, especially if you have a large environment, and I consider our environment to be quite large. The alerting takes a lot of administration."
"The one area that we get value out of now, where we would love to see additional features, is the Session Replay. The ability to see how one individual uses a particular feature is great. But what we'd really like to be able to see is how a large group of people uses a particular feature. I believe Dynatrace has some things on its roadmap to add to Session Replay that would allow us those kinds of insights as well."
"I would like them to add serverless capabilities, because everyone is going there."
"The process of log scraping gets delayed on Honeycomb.io. At times, it gives false alerts to the application team."
Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 341 reviews while Honeycomb.io is ranked 37th in Application Performance Monitoring (APM) and Observability with 1 review. Dynatrace is rated 8.8, while Honeycomb.io is rated 8.0. 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 Honeycomb.io writes "A valuable solution for application teams to identify downtime and SLO-related issues". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor, whereas Honeycomb.io is most compared with Grafana, Sentry, Chronosphere, Azure Monitor and Datadog.
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