We performed a comparison between Dynatrace and Elastic Observability 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 is favored for its comprehensive features, real-user monitoring, session replay, and synthetic monitoring capabilities. It also has a highly praised AI engine for root cause analysis and offers good visibility and thorough scanning of services and applications.
"The geographical view provides a nice visualization of performance on a map."
"Dynatrace helped us with root cause analysis of poor performing components of our applications."
"Having OneAgent is the most valuable feature of Dyantrace, as well as the monitoring."
"The overall application monitoring ability to do alerts."
"It can give a quick overview of the current health status, end to end, and can quickly point to the root cause if there an issue or problem in one of our applications."
"Dynatrace has designed its agents to capture limited stack traces for each transaction executed."
"Since we have been receiving alerts from Dynatrace, we go ahead and fix them without the user knowing about them."
"Being able to get down to the individual code level to see where transactions are taking time. It has helped troubleshoot issues immensely and other tools can't provide this."
"The most valuable feature of Elastic Observability is the text search."
"The solution allows us to dig deep into data."
"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."
"We can view and connect different sources to the dashboard using it."
"The price is very less expensive compared to the other solutions."
"I have built a mini business intelligence system based on Elastic Observability."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"Machine learning is the most valuable feature of this solution."
"There are a lot of features that could be added that would make this a very useful solution, but it is getting there."
"The other feature that Dynatrace should have is - from what I see in Dynatrace in our PoC - when you auto-upgrade the agents, the JVM or the application has to be restarted. But if you have something like an "auto-attach" feature, to attach the agent for the running process, it would not require a JVM restart. That would be nicer. That is a killer point."
"Improve Dynatrace for the following industries: telco, eCommerce, and banking."
"When it comes to monitoring, we did the integration with VMware vCenter, and we were able to see some good stuff. The VMware vCenter integration was really great, but what we really missed was the integration with the network management stuff such as Cisco ACI. We wanted to see integration in that area, but it was not provided by Dynatrace. So, the main feature for us is integration with things like Cisco ACI. If they can bring that one in, with vCenter in there, it would be a total solution. It would be absolutely incomparable to anything else in the market."
"As we move into using more AWS native architectures, it should support everything that we want to do. We don't want to adopt another tool."
"Make the Web UI more robust. Last time I used the web interface, it was still pretty crude."
"It needs a dashboard for cluster events in general, and for Kubernetes specifically."
"Whenever there is a new version the UI changes, it makes it hard to use, because we are accustomed to the old one."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"There's a steep learning curve if you've never used this solution before."
"The cost must be made more transparent."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 341 reviews while Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews. Dynatrace is rated 8.8, while Elastic Observability is rated 7.8. 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 Elastic Observability writes "The user interface framework lets us do custom development when needed. ". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Grafana, whereas Elastic Observability is most compared with New Relic, AppDynamics, Azure Monitor, Sentry and Datadog. See our Dynatrace vs. Elastic Observability report.
See our list of best Application Performance Monitoring (APM) and Observability vendors, best Log Management vendors, and best Container Monitoring 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.