We performed a comparison between Dynatrace and Monte Carlo based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability."Finally, we have 100% visibility on website performance, including third-party sources."
"Having the metrics easily understood and easily articulating the information."
"I have never been more confident in a tool's scalability because I've seen how easy it is for it to deal with the .NET Applets."
"Its ability to correlate a large source of information to pinpoint a root cause. This speeds up issue resolution and allow us to better reach our objectives."
"You can always get in touch with support representatives and the developers if you want to, and you can get the solution directly from them. They are good about giving customer service, which I really like."
"The deployment configuration and everything is simple. It is not that complicated."
"The most valuable feature is capture of 100% of the traffic. Also, exposure to downstream services, that might not necessarily be new, to everybody who's using applications. It triggers them and captures them and it gives visibility to some pieces that might be forgotten or even obscured."
"It will allow us to eventually become more proactive when problems start arising. We can see them before they happen and address them before there is any impact to our customers."
"It makes organizing work easier based on its relevance to specific projects and teams."
"Our main problems have been that it has a high learning curve to it. I've used it for about three years now and I'm still learning it. There are some videos and there is some documentation out there, but it still requires you to delve into the tool to learn it. A little bit more comprehensive self-paced training would help."
"I would like to see the same features as in the New Relic Insights in the dashboard. That is the only thing I want to see improved in Dynatrace."
"Dynatrace must reduce the required resources for on-premise, because they are too high."
"We're not quite there yet, but the thing I would like to see is to really have that view of how issues relate to the business. Often enough, the tools that IT have for IT stop at the IT level. They cannot go into the business level part. They can't understand, because they don't have the information that the business needs to provide them with - for example how much an hour of downtime costs the business. For us, in IT, it's an hour of downtime, but it equates to money and equates to hours lost and equates to a lot of things, and often enough we don't have that information. This is where I would like to see us going."
"I do not like after 60 days or 90 days it gets aggregated to summary data. I would like to be able to analyze specific PurePaths after 30 days or 60 days with real numbers."
"I'd like to see the UI a bit more polished. For example, I saw a demo of the dashboards here at the Perform 2018 conference. There was a table of these widgets, but they're not sorted alphabetically and there's, like, 50 of them. So if you want to find your widgets, you're of scrolling up and down. So small features, being able to search for widgets, that things are more categorized; just a bit more focused on the user experience."
"The con of Dynatrace is that, at times, because it has so much information, it becomes difficult to see the root cause of your problem, and then you have to dig around to find the root cause."
"Sometimes we have issues with the code on their side. We like to get it fixed."
"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."
Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 340 reviews while Monte Carlo is ranked 1st in Data Observability with 1 review. Dynatrace is rated 8.8, while Monte Carlo is rated 9.0. 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 Monte Carlo writes "Provides centralized data observability features and has an easy-to-use user interface. ". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor, whereas Monte Carlo is most compared with Datadog, Splunk APM, Grafana, Acceldata and Unravel Data.
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