We performed a comparison between DataRobot and ServiceNow IT Operations Management based on real PeerSpot user reviews.
Find out in this report how the two AIOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's easy to do MLOps operations. It's a lot easier to manage jobs and see the logs if there's any drift in a model."
"DataRobot can be easy to use."
"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."
"The solution allows you to subscribe to the features you need and utilize CMDB, ITSM, and discovery on the same platform."
"It includes a valuable feature called Discovery, that aids in application portfolio management, enabling visibility into IT infrastructure from top to bottom."
"It is flexible. You can tune it, more or less, as you want."
"It helps streamline management and processes."
"I like the solution mostly for CMDB discovery."
"The initial setup is very straightforward. A person just needs to join a team to access the network and that's all."
"Their Event Management is very good."
"It is a stable solution. I have not experienced any system outages during my time using the solution."
"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."
"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."
"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 solution’s licensing cost could be improved."
"My managers would say that the price is too high. We wanted to also have the visibility version of it, but it's too expensive for us. Going for visibility would have doubled up the price."
"The security policies could be increased."
"Lacks the ability to do its own monitoring."
"An area for improvement for ServiceNow IT Operations Management is making service mapping and discovery easier for non-IP devices."
"The initial setup phase was hard and could be made easier."
"The solution needs to add mobilization, where we can connect mobile devices or wireless devices to do wireless scanning and bring assets into the database."
"The pricing of some modules is higher because they are sold in packages. If we need something specific, we cannot take it individually."
More ServiceNow IT Operations Management Pricing and Cost Advice →
Earn 20 points
DataRobot is ranked 20th in AIOps with 3 reviews while ServiceNow IT Operations Management is ranked 4th in AIOps with 35 reviews. DataRobot is rated 8.6, while ServiceNow IT Operations Management is rated 8.2. The top reviewer of DataRobot writes "Easy to manage jobs and see the logs if there's any drift in a model, user-friendly, and the data munching is fast". On the other hand, the top reviewer of ServiceNow IT Operations Management writes "A very capable solution that includes a valuable, user-friendly workflow management tool". DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Alteryx, whereas ServiceNow IT Operations Management is most compared with OpsRamp, Moogsoft, Splunk ITSI (IT Service Intelligence), Datadog and BMC TrueSight Operations Management. See our DataRobot vs. ServiceNow IT Operations Management report.
See our list of best AIOps 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.
