We performed a comparison between Datadog and Dynatrace based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: We conclude that Datadog edges out Dynatrace by a very slim margin. Users feel Datadog gives the best visibility, better integration, and helpful, timely support. The logs and error reporting are extremely useful to conduct analysis and root cause analysis. The setup, ease of use, and flexibility with dashboard creation and reporting are just some of the things that our users like best about Datadog.
"The most valuable features are logging, the extensive set of integrations, and easy jumpstart."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"Its logs are most valuable."
"Datadog has given us near-live visibility across our entire cloud platform."
"Having a wealth of information has helped us investigate outages, and having historical data helps us tune our system."
"The application performance monitoring is pretty good."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"The visibility that it provides is valuable. It is helping in being proactive around incident management. It is helping us to be able to get more visibility into our customers' applications so that we can assist them at the application layer. We also provide them the infrastructure from an AWS standpoint. We are able to make sure that our customers are aware of certain critical things around the analytical piece of either the network or the application. We're able to call customers before they even know about the issue. From there, we can start putting together some change management processes and help them a bit."
"The agent deployment is the most valuable. You don't need to do any configuration. You just deploy the agents, and it can automatically detect your infrastructure. That was the greatest feature that we saw in Dynatrace. If there is any database, it can detect it automatically and present everything to you."
"It is a very good APM tool. There is a lot of thorough scanning of services and applications. It has got great monitoring features."
"The solution has a very good user interface."
"Technical support has always been quick to respond."
"I find that the AI on offer is useful, as it's good at identifying problems. You do need a bit of customizing, however, even in its sort of vanilla form, it's pretty good at identifying problems and the root causes of those problems and whatnot."
"The Session Replay not only allows us to watch the user in 4K video, but to see the individual steps happening behind the scenes, from a developer perspective. It gives us every single step that a user takes in a session, along with the ability to watch it as a video playback. We can see each call to every server as the user goes through the site. If something is broken or not running optimally, it's going to come up in the Session Replay."
"This monitoring capability gives us the ability to measure the end-user experience."
"The move valuable feature is the AI engine, which is amazing."
"The error traceability is an area that can be improved."
"The setup was a bit complex."
"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"While I like the ease of use, when compared with Tenable Nessus they could still improve their usability."
"Deploying the agents is still very manual."
"In the past two years, there have been a couple of outages."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"The dashboard could improve."
"The pricing of the product could be improved."
"The user interface for the management functions is not particularly intuitive for even the most common features."
"It would help if Dynatrace allowed more features that work with metrics like Grafana or New Relic."
"The usability is worse than it used to be."
"For the user, for the customer, they expect a solution to be not so expensive."
"Pretty much every month there are new features. However, its information on those new features is scarce."
"It's not really user friendly. You need to go through a certain type of training."
Datadog is ranked 2nd in AIOps with 32 reviews while Dynatrace is ranked 1st in AIOps with 36 reviews. Datadog is rated 8.4, while Dynatrace is rated 8.8. The top reviewer of Datadog writes "Provides insightful analytics and good visibility that assist with making architectural decisions". On the other hand, the top reviewer of Dynatrace writes "Gives us very deep visibility into both user actions and systems interactions, including a view inside containers". Datadog is most compared with New Relic APM, Azure Monitor, Splunk, Elastic Security and Amazon CloudWatch, whereas Dynatrace is most compared with AppDynamics, New Relic APM, Splunk, Azure Monitor and Elastic Observability. See our Datadog vs. Dynatrace report.
See our list of best AIOps vendors and best Application Performance Management (APM) vendors.
We monitor all AIOps 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.
We also selected Dynatrace but for different reasons.
We were looking for a solution that integrated user experience to backend systems. The RUM data captured by Dynatrace and integration to the transaction trace is phenomenal.
Datadog was lacking in the APM space when we evaluated and was very limited specifically in real user monitoring.
I've seen an early preview of Dyantrace's latest logging capabilities and can say I'm very excited, to say the least. The solution is automated and traced. For a comprehensive solution to improve observability and reduce outage times we are very happy with Dynatrace.
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network monitoring capabilities that take into account their users’ need for the most in-depth and accurate information and solutions. It offers analysis powered by a cutting-edge and fully automated AI. This artificial intelligence is designed to spot in real time any issue that might appear in the network on both the code and the infrastructure levels. Network administrators will be offered an in-depth analysis of the issue. The report will show the nature of the problem, where in the network it can be located, and potential solutions that can be implemented. Dynatrace’s real-time reporting significantly cuts down the response time of administrators to issues.
Datadog’s network monitoring software does not offer AI reporting or analysis. While it does offer features that enable users to track issues in their networks, it does not offer anything that is as robust and in-depth as Dynatrace’s fully automated AI. Administrators have to go and constantly monitor the network for issues instead of receiving automatic notifications that can direct them to the problems at hand.
Dynatrace’s dashboards can take the data that the AI collects and lay it out for the administrative or executive teams in clear ways. It is easy to customize these dashboards according to what you need. In fact, the creation of dashboards is now automated. You tell the software what you want to see and it will build the dashboard for you.
Datadog offers dashboards that provide near real-time visibility. They track the health of the network applications and provide indicators of the network’s overall condition. These dashboards are somewhat easy to create. However, they lack the automation that Dynatrace provides.
Conclusion
While Datadog offers a solution that can provide effective network monitoring, Dynatrace’s features make it a better option. Its AI and automation make it a far more effective product.