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."We setup triggers for certain critical events. When these events happen, alert notifications are sent to the support team to take immediate action."
"Our main use is to monitor our applications for any issues that might arise and use the data to assure that our performance trending is headed in the right direction."
"Provides one consolidated view on application performance."
"It gives us all the data on all the calls, which is something that is very different from any other APM solution that I have seen or used in the past."
"I think one of the most valuable features is the Dynatrace API, for both metrics and configuration."
"Automation and anomaly detection has helped reduce MTTR and MTBF."
"With the Agentless monitoring and ability to create custom plugins, we've been able to transform the tool not just into a great APM solution but a really good enterprise monitoring solution too."
"The Dashboard is very useful, as you can monitor different parameters on the same screen."
"The solution's initial setup process was straightforward since we were getting enough support from Honeycomb.io's team."
"In AppMon, the performance could be improved. That is the one thing I am most interested in."
"One thing that would help it tighter integration with DCRUM. It's somewhat difficult to drill down and see everything, but I think that's in the future versions. We just haven't seen that yet."
"Better root cause detection and improve root cause categories. In some cases, the root cause points out only a clue of what has happened."
"The web version of the client interface needs more features that are in the Java-based thick client."
"It does not have mature enough dashboards."
"Where we are struggling is being able to pull that information out and combine it with other contextual information that we have in other sources. Mining that data in a big-data environment, and joining it together and coming up with larger types of analysis on it."
"Either use less system resources and be faster or use more resources to pre-compute the PurePath on recent X minutes of data"
"Session export for offline analysis, like it was in AppMon, would be also nice."
"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 340 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, New Relic and Azure Monitor.
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