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.
"We can be more productive and agile. It allows us to be more accurate when we need to work with bugs."
"In general, it has helped me go through different logs more easily when something breaks."
"My primary use of the tool is to keep revenue coming into the business and to use it to help our business team in running their site analytics and web performance tools. They have things like Adobe Analytics that provide them with one layer of data. We use Dynatrace as another railroad metric to both confirm the Adobe Analytics data and enhance it in certain places where Adobe won't give us the answers that we need. In terms of metrics, we've had roughly about 120,000 unique sessions per hour on our website. So, we're capturing a lot of session data and real user data, and all of that data is kept in user sessions. We can look this information up by user ID to tag any given session that we want to find by date/client. E.g., if the user said that they had an issue last Thursday at 11:00 PM, then we can just do a search on their email address, go through all their sessions, and find the one that they mentioned, then dig directly into that one."
"Real user monitoring is one of the best things in solution. The possibility to analyze any particular user session is wonderful."
"Helps us in understanding what elements on the page contribute to load time and the primary areas to focus on for improvement."
"Great for monitoring critical internal and public-facing applications."
"The User experience monitor is a real added value."
"24/7, all transactions: The fact that every transaction is captured gives us the possibility of acting on every exception. But it also shows us what happens when everything works well, so we can compare it with the moment something goes wrong."
"The solution has been stable in our usage."
"It has always been a stable solution."
"The price is very less expensive compared to the other solutions."
"The architecture and system's stability are simple."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"It's easy to deploy, and it's very flexible."
"We can view and connect different sources to the dashboard using it."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"There should be more visibility for network performance monitoring. There should be more metrics for things like 5G and IoT. That would be the main thing because they've moved more to mobile performance rather than fixed networks."
"For the user, for the customer, they expect a solution to be not so expensive."
"AppMon is lacking the AI that can be found in Dynatrace Managed."
"It would be nice if there were a way that it could be made simpler, given the complexity of the things that we're monitoring."
"You have got cloning at one level, but it would be nice to have cloning at deeper levels. Or, as you are doing the cloning, it would be nice if you could select different options. Then, you are not having to sit there and build dashboards, and spending a lot of time in the cloning area."
"We would like to see an AI tool that detects issues with our site in real time."
"Documentation could be improved. E.g., you don't know how to properly use Dynatrace because documentation is almost lacking behind the features being deployed."
"Due to the fact that you doing a lot, you have a problem with the learning curve. We're really looking for ways to make this product more accessible."
"There's a steep learning curve if you've never used this solution before."
"There could be more low-code features included in the product."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The interface could be improved."
"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 needs to have better standardization, logging, and schema."
"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."
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.