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 overall application monitoring ability to do alerts."
"It is a robust solution that would help anyone get to the solution and resolution pretty fast."
"Daily metrics which us analyze the page composition and the corresponding performance metrics so we can quickly and easily determine when something has changed, to aid in root cause analysis."
"It is easy to see what areas you want to alert on and catch."
"Developers love the tool, because it is easy to use. They can immediately see how their code behaves."
"Provides more insight into detecting what the problem is with some of our applications."
"I think one of the most valuable features is the Dynatrace API, for both metrics and configuration."
"Dynatrace has reduced our total headcount in operations and the mean time to detect and resolve problems. As a result, those challenging offline times are much shorter, if not non-existent, because of this solution."
"I have built a mini business intelligence system based on Elastic Observability."
"The most valuable feature of Elastic Observability is the text search."
"It's easy to deploy, and it's very flexible."
"Machine learning is the most valuable feature of this solution."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
"The architecture and system's stability are simple."
"Its diverse set of features available on the cloud is of significant importance."
"The configuration of the alerts, that's been a challenge in AppMon for me, right now. Some of the alerts are too noisy, but that might be my lack of some configuration."
"The thread traceability is something that needs improvement."
"Network monitoring is lacking and could be improved."
"I would say it's not scalable, because we've had to move large applications that were in a shared environment to their own separate Dynatrace server instance."
"Either use less system resources and be faster or use more resources to pre-compute the PurePath on recent X minutes of data"
"Enterprise application monitoring for synthetic, as is, only captures http/https transactions."
"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."
"In the next release, I would like to see some new reports and more tiles on the Dashboard."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"There's a steep learning curve if you've never used this solution before."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"There is room for improvement regarding its APM capabilities."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 340 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, Datadog and Sentry. 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.
