"The solution is sufficiently stable."
"Datadog has given us near-live visibility across our entire cloud platform."
"The most valuable feature of Datadog is its logs."
"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."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"The interface and the integrations make it so easy to connect to the cloud or to the on-premise environment."
"This is definitely a good product and I would consider them one of the leaders within the application monitoring and cloud monitoring space."
"The ability to send notifications based on metadata from the monitor is helpful."
"My primary use of the tool is to keep revenue coming into the business and to use it to help our business team in running their site analytics and web performance tools. They have things like Adobe Analytics that provide them with one layer of data. We use Dynatrace as another railroad metric to both confirm the Adobe Analytics data and enhance it in certain places where Adobe won't give us the answers that we need. In terms of metrics, we've had roughly about 120,000 unique sessions per hour on our website. So, we're capturing a lot of session data and real user data, and all of that data is kept in user sessions. We can look this information up by user ID to tag any given session that we want to find by date/client. E.g., if the user said that they had an issue last Thursday at 11:00 PM, then we can just do a search on their email address, go through all their sessions, and find the one that they mentioned, then dig directly into that one."
"In my experience, Dynatrace is scalable."
"Dynatrace has reduced our total headcount in operations and the mean time to detect and resolve problems. As a result, those challenging offline times are much shorter, if not non-existent, because of this solution."
"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."
"The solution's ability to assess the severity of anomalies based on the actual impact to users and business KPIs is great. It's exactly what we need. The severity impact is based on the users, the availability, and the impact it has on your business."
"Dynatrace is a single platform. It has all these different tools but they are actually all baked into the OneAgent technology. Within that OneAgent... you have the different tool sets. You have threat analysis, memory dumps, Java analysis, the database statements, and so on. It's all included in this OneAgent. So the management is actually quite easy."
"Dynatrace helped us with root cause analysis of poor performing components of our applications."
"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."
"The incident management beta looks promising, but it is still missing the ability to automatically create incidents based on certain alerts."
"Datadog lacks a deeper application-level insight. Their competitors had eclipsed them in offering ET functionality that was important to us. That's why we stopped using it and switched to New Relic. Datadog's price is also high."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"It would be ideal if the product offered a bit more monitoring from our dashboard."
"It can have an artificial intelligence component. Even though I can seamlessly look at end-to-end security, it would be better to have alerts and notifications powered by an AI engine. I am not sure if they have an AI component. We have not reached out to them or looked at it, but this is something that I keep on talking about within our company in terms of features. Such a feature would be good to have, and it would further optimize my Security Ops team's abilities."
"I'd like to see better pricing and more integration in the next release."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"Datadog has a lot of documentation, but a lot of that documentation assumes you know how the service works, which can lead to confusion."
"We'd like it to be more user-friendly, which, in our case, might be a big ask as we have a fairly complex environment."
"I would like more flexible data export functions and APIs. The end user experience data is very useful to the solutions team to determine actual system usage and misuse. Flexible, easier data APIs would allow us to export the data more easily to other analytics platforms to enable this analysis as well as enable storage of this data for longer term analysis since DynaTrace only holds user data for 35 days."
"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."
"The flexibility when it comes to integrating with other tools is very low."
"Dynatrace could be improved by having a fully functional applications and infrastructure monitoring feature. Their existing stack, which is SNMP-based, does not have full infrastructure monitoring, whereas if we compare it with other solutions like New Relic or Datadog, they have moved into infrastructure monitoring. The second improvement I would suggest is in regards to the cost. So far, Dynatrace is the most expensive APM that we sell, even compared to New Relic. I think they can improve a little bit in terms of the license pricing."
"For the user, for the customer, they expect a solution to be not so expensive."
"The solution could improve by allowing more dashboards customization. This would allow us to monitor the metric better."
"It's not really user friendly. You need to go through a certain type of training."
Dynatrace has redefined how you monitor today’s digital ecosystems. AI-powered, full stack and completely automated, it’s the only solution that provides answers, not just data, based on deep insight into every user, every transaction, across every application. More than 8,000 customers use Dynatrace to optimize customer experiences, innovate faster and modernize IT operations with absolute confidence.
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.
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