We use the solution in server monitoring, application monitoring, and roam and synthetic monitoring. We have 1,000 Dynatrace users in our organization.
The solution can be deployed quickly on-prem. Once it's deployed, you can use discovery and review the process and service on this application.
Dynatrace would be closer to a perfect tool if it could bring an interface similar to a standard for metrics like Prometheus and Grafana, New Relic, and Datadog, and the way they present these panels. It would help if Dynatrace allowed more features that work with metrics like Grafana or New Relic because the data is there in Dynatrace. Dynatrace collects all the information but some companies consider integrating, for instance, Dynatrace metrics with Grafana.
I've been using this solution for more than one year. It's a SaaS solution, and it's deployed on a private cloud.
Support is okay but could be better and faster. The documentation for the tool could be better. The documentation with Elastic and Datadog is more detailed.
Initial setup is simple but it depends. In the server monitoring, it's only install and discovery. That is very quick. To install with a cloud like OpenShift, it requires some Sandcastle configuration about tokens and operators, but with old data, it's fast.
Two people were required for deployment.
I have a little experience with Datadog, but it doesn't have the power to discover with some libraries like Dynatrace. With Dynatrace, you can discover all libraries and technologies that exist on the market today. With Datadog, that's not 100% the case. Datadog is a very good product but it works differently. Datadog has machine learning, too, but not in all discovery options of SQL and in all layers of our monitoring like infrastructure, service, process, and applications—like Dynatrace. With Dynatrace, 100% of all options are included in your machine learning, in your AI.
For development, Datadog is a little more friendly to your front end and development teams. There are some areas, particularly the Apdex of Datadog, that are more understandable for the development teams. Dynatrace is a little more difficult to understand for development teams. It requires some more learning.
The APM feature in Datadog is easier to understand. It works manually, like New Relic, Grafana, or Elastic. That's more understandable for software development teams.
I tested New Relic between 2019 and 2020. Like Datadog, I tested and did proof of concept for New Relic in about one month. New Relic is strong and the APM is easier for teams of dev to write. The scope of New Relic is like Datadog. It doesn't cover all technologies and all libraries and just works efficiently with all items of applications for work with QA and dev.
I have not tested the integration of New Relic. I know some colleagues that integrated between the tools for the infrastructure coverage in Datadog and the APM coverage in New Relic.
I would rate this solution a 9 out of 10. It's not a 10 because there are some little things that could be enhanced. Otherwise, the product is great.