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DataRobot vs PagerDuty Operations Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 16, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

DataRobot
Ranking in AIOps
15th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
5
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (13th)
PagerDuty Operations Cloud
Ranking in AIOps
9th
Average Rating
8.8
Reviews Sentiment
7.3
Number of Reviews
37
Ranking in other categories
Process Automation (13th), IT Alerting and Incident Management (1st), Critical Event Management (CEM) (1st)
 

Mindshare comparison

As of June 2025, in the AIOps category, the mindshare of DataRobot is 0.6%, up from 0.2% compared to the previous year. The mindshare of PagerDuty Operations Cloud is 0.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps
 

Featured Reviews

SagarYadav - PeerSpot reviewer
Automating model comparison speeds up development and reduces timelines
DataRobot is equipped with a GUI-based approach that simplifies the process of feature engineering and model training. It provides AutoML capabilities, which allow for comparing thousands of models and selecting the best-suited one based on business requirements. By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
JeremyEmmett - PeerSpot reviewer
Centralized alert management with customizable routing and superior scheduling
Everything can always be better. Operations are somewhat limited by their integration package. For example, integrating with Jira was problematic until they updated to a better plug-in. The ability to build customized modules would be advantageous, allowing organizations to define their own integration modules. It would be useful to have a way to define all configurations in code that is similar to how Terraform operates.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"DataRobot is highly automated, allowing data scientists to build models easily."
"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 most valuable feature is definitely the flexibility of the schedule. The mobile app is quite also good for what we do: for receiving alerts, acknowledging, assigning, adding new responders. It has rich features for our needs."
"Alert deduplication and noise reduction for alerts are the major features that I found useful."
"The inbound integrations that PagerDuty provides with most of the DevOps tools are valuable."
"Notification is the most valuable feature."
"PagerDuty is very stable and very reliable."
"The SMS pages and the mobile application are pretty much the top two features."
"The solution's most valuable features are that it adds each alert as a service, has good scheduling capabilities, and includes the ability to write logic based on texts."
"The most valuable feature is the phone app that allows us to send notifications without the additional fees when sending by SMS or phone calls."
 

Cons

"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."
"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."
"There are some performance issues."
"DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality."
"I would like to see more content in the notification messages; although, that might be a configuration on our end."
"This solution works best in conjunction with a proper logging system, which can be an additional cost to organizations."
"The solution does not code all alerts correctly so sometimes you get false positives or multiple alerts for the same issue."
"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."
"They could include incident merging and alert grouping features in the product."
"The On-Call Teams feature could be better in terms of levels of conditions related to which team or member should get the responsibility of handling a matter or incident."
"PagerDuty can improve the integration with Terraform."
"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."
 

Pricing and Cost Advice

"We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."
"The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."
"The cost is quite high. But if you want to get a full-featured application and you have a big team..."
"There is a license needed to use PagerDuty."
"The solution is paid on a monthly basis and represents about 1% of the platform's budget."
"The price is very high."
"PagerDuty has monthly and yearly licenses available, the costs of which can get quite high if you have a large number of users."
"The cost is based on the package you select."
"If we wanted phone calls or additional SMSs, we would have to pitch up for those. They give us so many per month per user, then we have to pay extra if it goes over that."
"Licensing costs are around $700 a month, and the only additional costs, are phone costs in some instances."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Educational Organization
13%
Manufacturing Company
9%
Computer Software Company
9%
Computer Software Company
21%
Financial Services Firm
13%
Manufacturing Company
7%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What needs improvement with DataRobot?
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python. In this aspect, I see room for improvement in its functionality.
What is your primary use case for DataRobot?
In our day-to-day use, I utilize DataRobot to speed up our development process through its GUI capability. Once I set up our connection with a back-end data set, whatever the project I work on next...
What advice do you have for others considering DataRobot?
I would recommend DataRobot because if there is something not included in the UI, I have the freedom to use its Python API, which extends the capability for different use cases. Additionally, I wou...
What do you like most about PagerDuty?
The product easily integrates with other solutions.
What is your experience regarding pricing and costs for PagerDuty?
The solution was expensive, but if all its features were utilized, it was considered worth the cost. The tier-based pricing model was cumbersome, and there was a desire for a service-based catalog ...
What needs improvement with PagerDuty?
Everything can always be better. Operations are somewhat limited by their integration package. For example, integrating with Jira was problematic until they updated to a better plug-in. The ability...
 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
40% of the Fortune 100 TrustPagerDuty. Customers include: Slack, Intuit, Zendesk, Panasonic, Pinterest, Airbnb, eHarmony, McKesson, Comcast
Find out what your peers are saying about DataRobot vs. PagerDuty Operations Cloud and other solutions. Updated: April 2025.
857,028 professionals have used our research since 2012.