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.
"It is a robust solution that would help anyone get to the solution and resolution pretty fast."
"We have identified and solved "mystery" issues that we have experienced for a long time, including sporadic latency issues on storage volumes and SQL databases not scaling properly when under certain loads."
"The product installs quickly and immediately. It begins to learn the architecture of the systems which need to be monitored. It then learns what “normal” looks like, so there really is no need for manual configuration."
"Automatic instrumentation of new services and technology without the need to install specific agents or modules."
"Dynatrace helps to build business and non-business dashboards and the appropriate alarming on mail groups."
"The Davis artificial intelligence built-in program is valuable. It keeps all the information about the systems, connections, service calls, and requests in its database. It looks at response times and keeps everything in check with baseline figures. If anything goes outside of that baseline, it reports based on that. If the performance starts degrading, it reports on that. Before something breaks, it tells you that it is going to break, and that's the most useful feature of Dynatrace."
"It allows you to better utilize and focus your talent, and tell management that you are not only looking at problems, but how you can ultimately make the product better for the end user."
"Using that telemetry from Dynatrace, we are able to pinpoint what our performance issues are so we can tune the system."
"Good design and easy to use once implemented."
"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."
"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."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"It's easy to deploy, and it's very flexible."
"I have built a mini business intelligence system based on Elastic Observability."
"Its diverse set of features available on the cloud is of significant importance."
"There are some bugs in it. Sometimes things get hung just for second, and you have to refresh something. Also, they aren't necessarily intuitive, but to me, they're just going to get better over time."
"Perhaps there is a FAQ which explains the metrics and how to interpret them, and I just haven't seen it. This would be beneficial in providing context to allow sharing the daily metrics reported within the company."
"We found it was quite challenging in terms of the learning curve."
"It is always requiring us to update the Dynatrace client."
"The web-based UI needs to be improved."
"I would also like to see it baselining more metrics out-of-the-box. We have a lot of rich data, but if someone says, "Well how did that look last week?" If you're looking at a problem and you see, for example, a long SQL statement, is that the root cause, or is it always slow. it's difficult to get historical data."
"This solution needs more powerful database monitoring capabilities."
"If you have many distributed servers, you will need to install or migrate every agent. This can be a problem if you have too many, and it takes time."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"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."
"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 APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"There is room for improvement regarding its APM capabilities."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"Elastic Observability needs to have better standardization, logging, and schema."
"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 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, Datadog, Sentry and Azure Monitor. 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.