We performed a comparison between DataRobot and PagerDuty Operations Cloud 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."
"Notification is the most valuable feature."
"The alerts are immediate in this solution, which allows us to respond to errors quickly."
"PagerDuty's notification process is the most valuable feature."
"The initial setup is straightforward."
"Alert deduplication and noise reduction for alerts are the major features that I found useful."
"The most valuable feature of PagerDuty is its integration with other tools, such as Amazon AWS, to receive notifications or create automatic instances."
"PagerDuty let us set up rosters based on our shifts. We could assign a hierarchy for how the calls should be escalated and the number of times the call will be transferred between people before it is answered. It makes it easy to access an agent via mobile phone."
"It reduces the amount of white noise. If something comes through, then it will alert somebody. However, if it's a bit of white noise that comes through at night, then it gets dealt with the next day. Everything is visible to everybody. It's not just a single person getting an SMS, then going, "Oh, I'm not going to worry about that." The visibility to everybody on the team is one of the great things about it because it reduces the white noise."
"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."
"There is room for improvement with the time schedule. The way the schedule currently works is you assign all the team members in one schedule and it automatically spreads them around throughout the schedule... It would be better to be able to edit the schedule and place my team members where I want, or at least to have that option in addition to the automatic process."
"The solution does not code all alerts correctly so sometimes you get false positives or multiple alerts for the same issue."
"This solution works best in conjunction with a proper logging system, which can be an additional cost to organizations."
"The user interface could be more intuitive."
"Because of the way you have to structure the rosters, if an engineer has to go on leave (or something), you can't just go in and reassign/take this person out of all of the different rosters that they're in. You have to go into each of the rosters and take them out. There might be a roster for business hours, after hours rotation, and monitoring deployments. Each time we need to take an engineer out of the pool, e.g., if they're sick or on leave, then we have to go and touch all of those rosters, updating and replacing them. Whereas, if we could just take the person out and have it automatically fill in the rostering, then that would make life a lot easier for managing it."
"I am not a direct end user of PagerDuty. It's hard to consider its shortcomings in that sense."
"PagerDuty should be integrated with other tools, so it can import the IT roster automatically. Our other rules continue to work once they're configured, but the roster must be added manually."
"It is a very non-customizable product, so you cannot add things like root cause analysis or the classification of incidents based on the area where you are getting more incidents. For example, if you're getting a lot of database issues, that may be an are you want to probe."
Earn 20 points
DataRobot is ranked 20th in AIOps while PagerDuty Operations Cloud is ranked 8th in AIOps with 35 reviews. DataRobot is rated 8.0, while PagerDuty Operations Cloud 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 PagerDuty Operations Cloud writes "Effectively generates alerts for incidents, making it suitable for 24/7 monitoring of infrastructure". DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, Datadog and Alteryx, whereas PagerDuty Operations Cloud is most compared with Opsgenie, ServiceNow, JIRA Service Management, Splunk On-Call and Everbridge IT Alerting.
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