"Having a clear view, not only of our infrastructure but our apps and services as well, has brought a great added value to our customers."
"Datadog's ability to group and visualize the servers and the data makes it relatively easy for the root cause analysis."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"The most valuable feature of Datadog is its logs."
"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."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"I have found some of the most valuable features to be the way things all come together that gives us a point of view that is useful. The panel is very beautiful and customizable."
"The most valuable features are ease of deployment, UI, and collected data. Its deployment is really easy. In just a few hours, you can have a very good outcome, and you can see everything, which is very valuable. It collects a good amount of data."
"It helps to improve code efficiency and has quicker performance analysis."
"With the Agentless monitoring and ability to create custom plugins, we've been able to transform the tool not just into a great APM solution but a really good enterprise monitoring solution too."
"It is really comfortable and easy to use for application monitoring. We are able to see and go deep into the problem. We didn't have any issues with this product."
"With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."
"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."
"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 product allows us to build preferred/customized business transactions to track complex transactions. UEM (User Experience Monitoring) agents track user experience on webRequests. The advantage is that Dynatrace correlates the measures on the devices with those on the backend servers, giving us an end-to-end view of the transaction, from the user's phone deep into the backend servers."
"The setup was a bit complex."
"I'd like to see better pricing and more integration in the next release."
"While I like the ease of use, when compared with Tenable Nessus they could still improve their usability."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"It can have a more modernized pricing mechanism. We're actually working with them to figure out how to become more modular and have a better and more modernized pricing mechanism. The issue with Datadog is that you have to buy the whole suite of different products, and you kind of get stuck in the old utilization of 40% of their suite. Most organizations today break down between application development, networking, and security. Therefore, there should be a way to break down different modules into just app dev, infosec, networking, etc. Customers have various needs across their business lines, and sometimes, they're just not willing to have tools that they're not using 100%. AppDynamics is probably a little bit better in terms of being modular."
"It could use some additional features when working with metrics like Grafana or like New Relic has. Datadog does not use library technologies like Dynatrace does. Datadog has machine learning too, but it does not have this option in all layers of monitoring like infrastructure service process in applications."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"For the user, for the customer, they expect a solution to be not so expensive."
"They've leveraged those security gateways and renamed them ActiveGates, and now there are different web plugins we can run on it... Sometimes the development of those seems to be running very fast and it's not complete. They don't yet function quite as easily as the OneAgents do. But I have hopes that that's going to get better. We have tried the MQ, the Citrix, and the Oracle ActiveGate plugins. They could be sharper. It's the right direction to go. It just seems like it could be smoother."
"They could also, develop an observability platform where you could have the ability to inject events, locks, and traces."
"An area for improvement would be security. In the next release, I'd like to see more network-centric capabilities - Dynatrace is good at the network level, but I have to leverage other network solutions and integrate with them, but a holistic approach including the network as a one-stop-shop would be great."
"I would like a testing module focused on quality gates."
"The one area that we get value out of now, where we would love to see additional features, is the Session Replay. The ability to see how one individual uses a particular feature is great. But what we'd really like to be able to see is how a large group of people uses a particular feature. I believe Dynatrace has some things on its roadmap to add to Session Replay that would allow us those kinds of insights as well."
"Its price, for sure, should be improved. Its price is quite high. Other than the price, there are always improvements to be made as technologies change. When we move into cloud-based technologies, Dynatrace will also have to adapt so that they can monitor those as well. It should have the adaptability to quickly transform to monitor those new technologies."
"There continues to be some opportunity to expose the infrastructure from a broader reporting standpoint. Overall, the opportunity is in the reporting capability and the ability to more flexibly expose or pivot the data for deeper analysis. Oftentimes, the solution is good at looking narrowly at information, but when you want to broaden that perspective, that's where the challenges come in. At this point, it requires the export of data to external systems to do this."
Datadog is ranked 2nd in AIOps with 26 reviews while Dynatrace is ranked 1st in AIOps with 38 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 "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". Datadog is most compared with Splunk, ELK Logstash, New Relic APM, Azure Monitor and Amazon CloudWatch, whereas Dynatrace is most compared with AppDynamics, Splunk, New Relic APM, Azure Monitor and Elastic APM. See our Datadog vs. Dynatrace report.
See our list of best AIOps vendors and best Application Performance Management (APM) vendors.
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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.