We performed a comparison between DataRobot and Dynatrace based on real PeerSpot user reviews.
Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in AIOps."We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."
"DataRobot can be easy to use."
"Having OneAgent is the most valuable feature of Dyantrace, as well as the monitoring."
"Simple classic but effective UI (unlike some modern UI's out there that have too much white-space)"
"The features that we find most valuable are automatic root cause detection, topology discovery, and session replay."
"The initial setup was straightforward."
"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."
"Through end-user monitoring, we were able to measure the user's perceived performance and build an SLA based on that information."
"We spend less time on troubleshooting issues since Dynatrace proactively informs us of an impending bottle neck."
"Most importantly the back-end components. Most of the back-end components that the application connects to; nobody knows how our application interacts with, for example, the DataPower Gateway. But AppMon really provides that information for us. So finding the gaps is the key here."
"If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."
"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum."
"The documentation of Dynatrace needs to be improved. There needs to be a more detailed description and additional examples for background understanding for beginners trying to use it."
"One thing that would help it tighter integration with DCRUM. It's somewhat difficult to drill down and see everything, but I think that's in the future versions. We just haven't seen that yet."
"I would love to see a better data export, because AppMon's charting capabilities leaves a lot to be desired. You have about a 5,000 line limit. I would really like to see the ability to export, in Dynatrace and AppMon, in essentially in a nice format of whatever you want to whatever else."
"It can be improved in narrowing the exact exception/ERROR in application monitoring."
"We have multiple tenants. If you have them up at the same time, you can't see in the UI which tenant you're in. It doesn't tell you."
"Right now, there is a log analysis feature. This is maybe a little more deeper than the log analytics in comparison to other tools, like Splunk or Sumo Logic. If Dynatrace can come up with this replay feature, that would be great."
"This solution needs better support for security and monolithic batch processes."
"One piece that we think that's missing is, there were thread names that were missing in analytical information in the Dynatrace solution, versus the AppMon solution. The AppMon solution gives you that information, and it is very helpful for connecting dots and bringing all the pieces together."
Earn 20 points
DataRobot is ranked 20th in AIOps while Dynatrace is ranked 2nd in AIOps with 340 reviews. DataRobot is rated 8.0, while Dynatrace is rated 8.8. The top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". 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". DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Alteryx, whereas Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor.
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