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DataRobot vs OpsRamp 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:
 

ROI

Sentiment score
9.1
DataRobot enhanced prediction accuracy, reduced analysis time, simplified processes, and improved efficiency, leading to better decisions and cost savings.
Sentiment score
6.9
OpsRamp enhances efficiency with 90% alert reduction, 70% task automation, improved productivity, straightforward licensing, and realistic expectations.
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at University of Bradford
It is important to stick with available features and provide customers with clear, precise details about what can and cannot be done to avoid anomalies.
System Integration Advisor at a tech vendor with 10,001+ employees
I find the licensing model convenient and clear enough, and I have seen a return on investment with OpsRamp.
Software engineer at Mphasis
 

Customer Service

Sentiment score
8.1
DataRobot offers strong support and scalability but needs faster responses and better documentation for optimal user empowerment.
Sentiment score
5.4
OpsRamp's support excels in responsiveness and expertise but faces language barriers and desires for dedicated teams.
They answer all my questions and share guidance on using DataRobot scripts if certain functionalities are not available in the UI.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Senior Data Reporting Analyst at University of Bradford
Having a dedicated firefighter team for each MSP would be beneficial.
System Integration Advisor at a tech vendor with 10,001+ employees
 

Scalability Issues

Sentiment score
5.8
DataRobot is scalable, integrates easily, automates processes, supports multiple models, and handles large data volumes efficiently.
Sentiment score
7.1
OpsRamp offers scalable solutions for user management and monitoring, though it received moderate ratings due to some connection challenges.
 

Stability Issues

Sentiment score
7.9
DataRobot is praised for stability and reliability in edge analytics, improving consistently without significant issues during adjustments.
Sentiment score
6.9
OpsRamp is stable and low-maintenance, with minor scaling issues, often rated higher for stability than competitors like SolarWinds.
 

Room For Improvement

DataRobot users seek integration with AI tools, improved performance, better support, pricing, and enhanced UI for customization.
OpsRamp needs improvements in ITSM maturity, user interface, automation, alert accuracy, support, and AIOps capabilities to stay competitive.
DataRobot is a UI-based tool, which means it cannot provide all the features I might manually implement through notebooks or Python.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
There is a lack of transparency in the models; sometimes it feels like a black box.
Senior Data Reporting Analyst at University of Bradford
Technical support should be improved.
Software engineer at Mphasis
 

Setup Cost

Opinions on DataRobot's $65,000 pricing vary; some find it competitive, while others see it as too costly.
OpsRamp provides an economical, clear licensing model with annual resource-based bundles, offering cost-effective access to the full platform.
The setup cost was minimal because it's cloud-hosted, eliminating the need for heavy on-premises infrastructure, allowing us to start using it immediately after purchase.
Senior Data Reporting Analyst at University of Bradford
it does not strike me as expensive, and the licensing model is clear enough.
Software engineer at Mphasis
 

Valuable Features

DataRobot streamlines MLOps by automating modeling, deployment, and monitoring, enhancing productivity and decision-making with efficient cloud integration.
OpsRamp offers robust monitoring, AIOps, integration, and analytics, enhancing efficiency, usability, and insights for hybrid environments.
DataRobot has positively impacted our organization in many ways. First, it has improved efficiency; tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours.
Senior Data Reporting Analyst at University of Bradford
By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month.
Staff Specialist Data Scientist at a tech vendor with 5,001-10,000 employees
I have utilized OpsRamp's capability for predictive analytics, and it has been important in fostering collaboration between my IT and development teams under DevOps methodologies, where applicable.
Software engineer at Mphasis
 

Categories and Ranking

DataRobot
Ranking in AIOps
14th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
6
Ranking in other categories
Predictive Analytics (5th), AI Development Platforms (11th), AI Observability (18th), AI Finance & Accounting (5th)
OpsRamp
Ranking in AIOps
10th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
13
Ranking in other categories
Event Monitoring (7th), IT Infrastructure Monitoring (24th)
 

Mindshare comparison

As of April 2026, in the AIOps category, the mindshare of DataRobot is 1.3%, up from 0.6% compared to the previous year. The mindshare of OpsRamp is 4.8%, down from 8.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Mindshare Distribution
ProductMindshare (%)
OpsRamp4.8%
DataRobot1.3%
Other93.9%
AIOps
 

Featured Reviews

Naqash Ahmed - PeerSpot reviewer
Senior Data Reporting Analyst at University of Bradford
Automation has improved efficiency and decision-making while big data handling and transparency still need work
Aside from the many advantages of DataRobot, I believe there are areas that could be improved based on my experience. There is a lack of transparency in the models; sometimes it feels like a black box. For example, when I uploaded a large data set of about two gigabytes for processing, the time taken was slower than expected. Additionally, the handling of bigger data sets could be better, as it performs extremely well with smaller datasets but can lag with larger ones. The integration with some other tools used in our organization can also be challenging, and more flexibility for custom pre-processing and advanced model tuning would be beneficial. In terms of support and documentation, I believe improvements are needed. For instance, the response time from DataRobot could be quicker, which would be appreciated when we need assistance. The documentation is generally sufficient, but it can be lengthy and could use more real-world examples and step-by-step tutorials for better clarity. Lastly, creating a client community where users can share experiences and solutions might enhance the overall value and learning curve.
reviewer2732427 - PeerSpot reviewer
System Integration Advisor at a tech vendor with 10,001+ employees
Provides robust infrastructure monitoring with excellent integrations and alert predictions but needs improved AIOps capabilities
If we treat OpsRamp as an infrastructure monitoring tool, there are many positive aspects. However, when viewed as an AIOps tool, there are numerous potential additions. Currently, it performs infrastructure monitoring but has limited capability in application monitoring, which needs improvement. They are introducing observability as a feature where metrics, logs, and traces can be implemented, but this is currently in a primitive state that can grow over time. The platform is very stable, and the UI is excellent. However, regarding AIOps features, enhancements could be made to provide more value, such as dynamic thresholding and other capabilities that competitor tools have, such as LogicMonitor.
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
13%
Educational Organization
8%
Construction Company
7%
Computer Software Company
12%
Manufacturing Company
12%
Financial Services Firm
10%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise3
Large Enterprise8
 

Questions from the Community

What is your experience regarding pricing and costs for DataRobot?
My experience with pricing, setup cost, and licensing reveals that the price points can be improved and DataRobot is not so cost-effective, especially for smaller organizations.
What needs improvement with DataRobot?
To improve DataRobot, I suggest enhancing model accuracy metrics and improving automation. The price points can also be improved. Another improvement that DataRobot needs is integrating the capabil...
What is your primary use case for DataRobot?
DataRobot serves as our data science platform for building machine learning models and the development environment for running models. We also use the best practice processes and governance that Da...
What is your experience regarding pricing and costs for OpsRamp?
I share the impression that OpsRamp pricing is fair; it does not strike me as expensive, and the licensing model is clear enough.
What needs improvement with OpsRamp?
If we treat OpsRamp as an infrastructure monitoring tool, there are many positive aspects. However, when viewed as an AIOps tool, there are numerous potential additions. Currently, it performs infr...
What is your primary use case for OpsRamp?
Currently, my use case for OpsRamp is using it as an infrastructure monitoring tool for customers, where we can provide infrastructure monitoring as a platform. We can have AI appended to those mon...
 

Comparisons

 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Epsilon, CloudBrix, GreenPages, NIIT Technologies
Find out what your peers are saying about DataRobot vs. OpsRamp and other solutions. Updated: February 2026.
886,719 professionals have used our research since 2012.