DataRobot vs OpsRamp comparison

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81% willing to recommend

DataRobot

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 16, 2024

DataRobot and OpsRamp offer robust solutions in their respective fields of automated machine learning and IT operations management. DataRobot seems to have the upper hand in machine learning automation, while OpsRamp is preferred for comprehensive IT management.

Features: DataRobot's valuable features include automated feature engineering, model deployment, and predictive modeling. OpsRamp's notable features are unified IT management, incident management, and performance monitoring.

Room for Improvement: DataRobot users suggest improvements in integration with third-party tools, enhanced customization options, and better integration options. OpsRamp users highlight the need for better documentation, more intuitive navigation, and more user-friendly enhancements.

Ease of Deployment and Customer Service: DataRobot users report a relatively smooth deployment process with commendable customer service. OpsRamp receives mixed feedback on deployment complexity but is praised for responsive customer support.

Pricing and ROI: DataRobot is perceived to have a higher setup cost but delivers significant ROI through automation benefits. OpsRamp offers competitive pricing with good ROI as it reduces operational overhead.

To learn more, read our detailed DataRobot vs. OpsRamp Report (Updated: April 2025).

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DataRobot vs. OpsRamp

April 2025

Helped 857,028 peers since 2012

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

Ranking in other categories

Predictive Analytics (5th), AI Development Platforms (13th)

OpsRamp

Ranking in AIOps

13th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Event Monitoring (3rd), IT Infrastructure Monitoring (28th)

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 OpsRamp is 8.8%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AIOps

Featured Reviews

SagarYadav

Staff Specialist Data Scientist at BMC Software, Inc.

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.

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Muhammad Umair Gulfam

Implementation Engineer at a computer software company with 201-500 employees

Automates Azure resource monitoring and inventory management but slow with real-time patch status

There is room for improvement in the performance of the product. The main problem is with patch management. The actual problem we're facing is with the patch management feature. It's not real-time, which creates inconsistencies. The machine might say there are no updates available, while the OpsRamp agent reports that everything's patched. It's a mismatch. We recently started a new marketplace for clients where we manage patch management. We try to share knowledge with OpsRamp, but they don't have a rapid process for product enhancements. Our main pain point is the lack of engagement from the product team. If someone from OpsRamp could discuss our concerns, work on future enhancements, or even give us an estimated timeline (ETA), it would be a huge improvement.

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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."

"DataRobot is highly automated, allowing data scientists to build models easily."

"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."

"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."

"The most valuable feature of this solution in my experience, is that the available reporting is quite accurate."

"We find the products seamless integration with Zendesk to be extremely valuable to our business."

"The technical support is fantastic, and they are fast to respond."

"The most valuable features of OpsRamp include a single pane of glass, event correlation, personalized dashboards, and a single platform solution."

"It is a pretty stable solution."

"The feature we found most valuable in OpsRamp is alert generation because whenever there is any kind of spike on any virtual machine, the solution generates alerts based on the thresholds we implemented. We have integrated our ideas and tools with OpsRamp, so alerts are generated, then we notify the customers. That's the main feature we like about OpsRamp because we don't have to monitor each resource. Instead, OpsRamp does the monitoring for us, and it generates the alerts based on the thresholds."

"The most valuable feature of OpsRamp is the creation of the dashboards of the infrastructure for the CPU memory and SQL servers. Additionally, URL monitoring through Selenium scripting and the availability dashboard is useful."

"Predictive analysis is a valued feature."

More OpsRamp pros

Cons

"Generative AI has taken pace, and I would like to see how DataRobot assists in doing generative AI and large language models."

"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."

"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."

"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."

"What's lacking in OpsRamp is process automation, and if there is, I wish there could be more of it, other than just spikes, or it would be better if the alerts can be generated based on different matrices. That option is absent in OpsRamp at the moment, and it would be valuable if that could be provided in the solution, especially if there's any kind of security issue in the VM."

"We would like this solution to be developed into a full CMP tool, so that we are able to use a single product for all of our cloud management needs."

"The user interface of this product requires some changes as it is not inclusively user-friendly. For example, the performance indicators are color-based , which means that they are confusing for anyone who is color blind."

"Automation is currently quite complex and needs to be improved."

"I would like to see two things. The first is a self-service portal for the cloud, any cloud deployments, and the second is maturity validation towards ITSM, internalizing OpsRamp TSM. As a result, instead of integrating with more mature tools similar to ServiceNow, people will use OpsRamp."

"An area of improvement would be application monitoring."

"We have 55 AVDs, and patches might roll out to 32-35 initially, with the rest taking a month or so. OpsRamp can't detect them all directly. Since clients want patches applied as soon as possible, we manually patch those remaining devices."

"The function to search any particular device within this solution needs to be improved. Currently, the solution develops a lag when a search, or a comparison, is being carried out."

More OpsRamp cons

Pricing and Cost Advice

"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."

"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."

"There is an annual licensing fee to use OpsRamp."

"You pay it for a year and you'll have full access to the entire platform, not only for monitoring and alerting, you will have access to the entire platform, and whatever technology they develop will be made available to you."

"OpsRamp is a cost-effective solution."

"I don't have any idea about the licensing cost for OpsRamp, but I just know that its pricing is based on the resource count for each tenant."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Educational Organization

13%

Manufacturing Company

Computer Software Company

16%

Manufacturing Company

13%

Financial Services Firm

11%

Real Estate/Law Firm

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 OpsRamp?

Most features work fine.

What is your experience regarding pricing and costs for OpsRamp?

OpsRamp is a cost-effective solution.

What needs improvement with OpsRamp?

OpsRamp had shortcomings associated with its network capabilities. When my company introduced OpsRamp at a discussion, I saw that its network capabilities, which were not there, were in the process...

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Compared 12% of the time

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Compared 10% of the time

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Compared 6% of the time

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Product Reports

Download DataRobot product report

Predictive Analytics

May 2025

Download OpsRamp product report

May 2025

Overview

DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.

DataRobot

OpsRamp is a leading cloud-based digital IT operations management platform. The solution allows your organization to leverage hybrid observability, process automation, and machine learning to modernize IT operations. OpsRamp can handle the speed, scope, and scale of modern IT and can help you drive productivity and business value. In addition, it can help your business manage, monitor, and consolidate your point tools and applications.

OpsRamp Features

OpsRamp has many valuable key features. Some of the most useful ones include:

Modern infrastructure monitoring: OpsRamp provides end-to-end visibility across applications, data centers, public clouds, point tools, and more.

Intelligent incident management: With this OpsRamp feature, you gain better problem identification, impact analysis, and first response for incidents with a streamlined process. This leads to proactive resolution and automated remediation that natively integrates with your ITSM tools.

Modern IT operations management: OpsRamp can help you consolidate your multiple point tools with its modern, SaaS-based IT operations platform. The solution can combine artificial intelligence, hybrid infrastructure monitoring, incident remediation, and service and topology mapping, so it can easily evolve with your organization

Service-centric AIOps: OpsRamp gives you the ability to examine your incidents, establish a tight feedback loop between your different teams, and reduce alert floods. Additionally, the solution enables your organization to deliver quick resolutions by using OpsQ, its artificial intelligence-powered event management engine.

Cloud migration: OpsRamp is a true multi-tenant, multi-tier SaaS platform that helps you move more applications and workloads to the cloud faster.

Curated dashboards: By using OpsRamp, IT teams can build curated dashboards using PromQL queries. A central dashboard repository can also be created if needed, and dashboards can be reused for shared IT services as necessary.

Topology maps: With OpsRamp’s service-aware topology maps, you are able to keep track of your entire hybrid IT infrastructure, enabling you to troubleshoot issues by using real-time dependencies for hybrid services.

OpsRamp Benefits

There are many benefits to implementing OpsRamp. Some of the biggest advantages the solution offers include:

Autodiscovery: OpsRamp auto-discovers multi-cloud and on-premises infrastructure across your IT environment and maps it to your IT services.

Multi-cloud telemetry and real-time events: The solution captures multi-cloud telemetry and real-time events as they occur so that your organization is able to make data-driven decisions by using the right performance and consumption insights.

Take action faster: OpsQ, the solution’s AIOps event management engine, drives faster incident resolution and helps reduce MTTD/MTTR of business-critical services.

Improved efficiency: OpsRamp helps deliver IT operations as a service. With the platform, you can automate workloads, manage multi-cloud costs, and see your IT operations become more efficient.

Flexible integrations: With OpsRamp, you do not have to get rid of your existing tools. The OpsRamp platform can consolidate them all into one contextual view using the metrics that matter most.

Monitoring integration support: OpsRamp delivers monitoring integration support for more than 150 cloud services across the leading three cloud providers: Amazon Web Services, Microsoft Azure, and Google Cloud.

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant

Epsilon, CloudBrix, GreenPages, NIIT Technologies