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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 (14th)
PagerDuty Operations Cloud
Ranking in AIOps
10th
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 August 2025, in the AIOps category, the mindshare of DataRobot is 0.5%, up from 0.3% compared to the previous year. The mindshare of PagerDuty Operations Cloud is 1.8%, up from 0.7% 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

"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."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"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 is highly automated, allowing data scientists to build models easily."
"It integrates with multiple applications and is highly customizable, with policies, escalation procedures, and an event routing tool that ensures contacting the right person."
"PagerDuty's best features are the dedicated application that allows me to reach my engineers immediately and the ability to directly assign specific tasks to individuals and have them report back."
"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."
"The product has valuable on-call scheduling, escalation, and incident workflow management features."
"I'd rate the solution ten out of ten."
"PagerDuty's notification process is the most valuable feature."
"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 alerts are immediate in this solution, which allows us to respond to errors quickly."
 

Cons

"There are some performance issues."
"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."
"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."
"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."
"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."
"It is difficult to send underlying trace files or statuses using PagerDuty."
"The product can be improved by including out-of-the-box integration with other standard tools used in our fields such as Confluence, and Jira."
"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."
"Something that needs to be improved, is adding multilingual support."
"The solution does not code all alerts correctly so sometimes you get false positives or multiple alerts for the same issue."
"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."
"Operations are somewhat limited by their integration package. For example, integrating with Jira was problematic until they updated to a better plug-in."
 

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 pricing may be about $1,000 per user."
"The cost is based on the package you select."
"The solution is paid on a monthly basis and represents about 1% of the platform's budget."
"The price is very high."
"If you add more people, then you have to pay more, which is always a thing with the SaaS solutions."
"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."
"They're very good in pricing compared to the competitors in the area. I would rate them a five out of five in terms of pricing."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
11%
Computer Software Company
9%
Retailer
8%
Computer Software Company
15%
Performing Arts
11%
Financial Services Firm
10%
Manufacturing Company
7%
 

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: July 2025.
865,164 professionals have used our research since 2012.