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.
"Dynatrace is heavily automated which is a big advantage. You don't have to configure a lot, it installs and it runs straight away. There's direct return on investment and you can focus on more interesting stuff than always have to configure and change the configurations. Issues or problems in detection is also fully automated, which is great."
"Overall, it has provided improved stability to our system both within prod and non-prod environments."
"For stability, our customers have no complaints."
"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 features are end user visibility, Smartscape, and the entire visibility of our data center, including SQL queries."
"The primary use case is to monitor all our applications. We want a single place where we can monitor all our applications that we are building. Therefore, if something goes wrong, we immediately can find out what went wrong."
"Dynatrace makes it so much easier to proactively solve problems before they become big headaches, and easily pinpoint the root cause of an issue."
"It creates visibility - from when the user starts interacting with our application - all the way back to our database calls, our network path, everything."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"We can view and connect different sources to the dashboard using it."
"The solution allows us to dig deep into data."
"The most valuable feature of Elastic Observability is the text search."
"It's easy to deploy, and it's very flexible."
"The architecture and system's stability are simple."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The product has connectors to many services."
"I would like them to add serverless capabilities, because everyone is going there."
"The documentation of Dynatrace needs to be improved. There needs to be a more detailed description and additional examples for background understanding for beginners trying to use it."
"Dashboards and monitoring capabilities can be improved for monitoring applications in Azure. In Azure, it would be cool to be able to monitor network consumption as well as flow communication."
"The plugin architecture is not very flexible, which makes it difficult to add the custom monitoring not available through Dynatrace, specifically around file monitoring."
"I haven't had a chance to go through all of it, but I would like to see the ability, from an administrative standpoint, for it to collect statistics. I want to be able to see the servers that the agents are installed on. I want it to be able to start doing collections for me by platform: How many Linux servers do I have? How many Windows servers do I have? Statistically give me the information of how things are performing, but I want that in a dashboard, where I can look at a dashboard and I can look at a section. So the ability for me to drill down will make it easier for me."
"This solution needs improvement in terms of automation."
"The solution could improve by allowing more dashboards customization. This would allow us to monitor the metric better."
"A useful addition for known issues would be the ability to automatically perform certain activities as a first attempt to resolve issues which are creating a problem."
"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."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"There could be more low-code features included in the product."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"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."
"Elastic Observability’s price could be improved."
"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."
"There is room for improvement regarding its APM capabilities."
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, 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.
