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 User experience monitor is a real added value."
"The Transaction Flow diagram and the class and meta level information, those are really key selling points in the automation for AppMon. Also, the meta level instrumentation and the dashboards that most of the people use in our organization."
"The most valuable feature is, I can quickly go to the PurePath and find the problem in the application. I can say that it provides me a way by which I can quickly find the root cause of the problem."
"In my experience, Dynatrace is scalable."
"UEM (User Experience Management) is an optional feature that we acquired and use a lot. It provides indicators from the customer's browser, reflecting more precisely on what our internal users are experiencing."
"It is easy to see what areas you want to alert on and catch."
"We are able to fix issues rather quickly, by identifying then fixing them. Therefore, the efficiency of the organization has improved. We are spending less time fixing issues."
"It reduces time and provides detailed info, showing problem correlation, and a single point of diagnosis."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"The product has connectors to many services."
"It's easy to deploy, and it's very flexible."
"Good design and easy to use once implemented."
"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."
"Machine learning is the most valuable feature of this solution."
"The solution allows us to dig deep into data."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"Richer, deeper partner channel: It needs to expand and deepen the business use cases, where their solutions can help."
"Sometimes we get incidences during the US morning when we are not at the office. If I can get the benefit of a solution, which can alert us and solve itself. It is an automation thing where we do not want to wake up late at night and work on the application."
"The thread traceability is something that needs improvement."
"We sometimes have to run plugins on docker containers."
"So far, we have not achieved the benefit of preventing issues."
"We have a very stringent budget for an infrastructure solution. Maybe if they provided modules, a simple module with fewer features and a lower price, that would be very good."
"When you're making that transition from AppMon, which is very dashboard-oriented, over to Dynatrace, which is no dashboards, there needs to be something in between so that business buys in a little bit. I would transition my dashboards over so that we don't have to recreate them, because recreating them is very difficult in Dynatrace. It's really hard to say, "Oh, the dashboards that you had on the team that you were using, you're not going to get over here." Or, "You have to re-create them all over again." People are going to ask questions about cost, who is going to do that."
"I would like better plugin support, because they are constantly asking us to do plugins, saying "Yeah, we can do that. Use this plugin." Then, the moment something goes wrong with that plugin, I have no way of getting help."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"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."
"There is room for improvement regarding its APM capabilities."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The cost must be made more transparent."
"The interface could be improved."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
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.