DataRobot vs Devo comparison

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DataRobot

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Executive SummaryUpdated on Sep 16, 2024

DataRobot and Devo cater to different needs in AI and data analytics. Users generally find the feature set of Devo superior, while DataRobot's pricing and support receive higher satisfaction scores. Despite this, Devo's enriched features outweigh its higher price.

Features: DataRobot offers automated data preparation, predictive modeling, and deployment, which is comprehensive. Devo excels in real-time data analytics and visualization, scoring higher for its integration capabilities. Users highlight Devo's advanced analytics as more valuable, though both platforms have robust feature sets.

Room for Improvement: Users of DataRobot point out the need for enhanced customizability and more intuitive tools for non-technical users. Devo users suggest improvements in documentation and more streamlined onboarding processes. DataRobot's feedback emphasizes usability improvements, while Devo focuses on user experience enhancements.

Ease of Deployment and Customer Service: DataRobot is praised for its straightforward deployment process and responsive customer service. Devo's deployment is slightly more complex due to its advanced features, but it also has commendable support. DataRobot has an edge in ease of deployment, while both provide reliable customer service.

Pricing and ROI: DataRobot is rated favorably for its competitive pricing and clear ROI, making it attractive for budget-conscious buyers. Devo's pricing is higher, but users believe its feature set justifies the cost, providing substantial ROI. DataRobot's lower cost appeals to many, but Devo's advanced features deliver considerable value for the investment.

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

DataRobot vs. Devo

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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

16th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Predictive Analytics (5th), AI Development Platforms (12th)

Devo

Ranking in AIOps

15th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Log Management (27th), Security Information and Event Management (SIEM) (28th), IT Operations Analytics (6th)

Mindshare comparison

As of May 2025, in the AIOps category, the mindshare of DataRobot is 0.6%, up from 0.2% compared to the previous year. The mindshare of Devo is 0.8%, up from 0.6% 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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Michael Wenn

CEO / Co-Founder at Aiops ltd

Has cloud-first architecture with SIEM technology to run security operations

When it comes to scale, they're architected quite well. They handle some of the biggest customers globally, with significant throughput on their platform, managing thousands of customers. One of the most impressive aspects of Devo is its customer community. A large majority, over 80 percent of their customers, actively participate on a Devo-specific community page. They're contributing to product development and support, events, and user group information, helping each other out. This high level of engagement is rare and demonstrates both the loyalty of their customer base and the quality of their product. They offer a range of small, medium, and large options to cater to everyone. I sold Devo products while working with them, focusing on enterprise solutions. However, as a small reseller, my customers were typically smaller businesses. I rate the solution's scalability a nine out of ten.

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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."

"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."

"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 centralizes security management within a business, functioning as a core system for a SOC."

"Those 400 days of hot data mean that people can look for trends and at what happened in the past. And they can not only do so from a security point of view, but even for operational use cases. In the past, our operational norm was to keep live data for only 30 days. Our users were constantly asking us for at least 90 days, and we really couldn't even do that. That's one reason that having 400 days of live data is pretty huge. As our users start to use it and adopt this system, we expect people to be able to do those long-term analytics."

"The thing that Devo does better than other solutions is to give me the ability to write queries that look at multiple data sources and run fast. Most SIEMs don't do that. And I can do that by creating entity-based queries. Let's say I have a table which has Okta, a table which has G Suite, a table which has endpoint telemetry, and I have a table which has DNS telemetry. I can write a query that says, 'Join all these things together on IP, and where the IP matches in all these tables, return to me that subset of data, within these time windows.' I can break it down that way."

"One of the biggest features of the UI is that you see the actual code of what you're doing in the graphical user interface, in a little window on the side. Whatever you're doing, you see the code, what's happening. And you can really quickly switch between using the GUI and using the code. That's really useful."

"The ability to have high performance, high-speed search capability is incredibly important for us. When it comes to doing security analysis, you don't want to be doing is sitting around waiting to get data back while an attacker is sitting on a network, actively attacking it. You need to be able to answer questions quickly. If I see an indicator of attack, I need to be able to rapidly pivot and find data, then analyze it and find more data to answer more questions. You need to be able to do that quickly. If I'm sitting around just waiting to get my first response, then it ends up moving too slow to keep up with the attacker. Devo's speed and performance allows us to query in real-time and keep up with what is actually happening on the network, then respond effectively to events."

"Devo helps us to unlock the full power of our data because they have more than 450 parsers, which means that we can ingest pretty much any type of log data."

"Devo provides a multi-tenant, cloud-native architecture. This is critical for managed service provider environments or multinational organizations who may have subsidiaries globally. It gives organizations a way to consolidate their data in a single accessible location, yet keep the data separate. This allows for global views and/or isolated views restricted by access controls by company or business unit."

"Devo has a really good website for creating custom configurations."

More Devo pros

Cons

"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."

"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."

"There's always room to reduce the learning curve over how to deal with events and machine data. They could make the machine data simpler."

"Their documentation could be better. They are growing quickly and need to have someone focused on tech writing to ensure that all the different updates, how to use them, and all the new features and functionality are properly documented."

"I would like to have the ability to create more complex dashboards."

"There is room for improvement in the ability to parse different log types. I would go as far as to say the product is deficient in its ability to parse multiple, different log types, including logs from major vendors that are supported by competitors. Additionally, the time that it takes to turn around a supported parser for customers and common log source types, which are generally accepted standards in the industry, is not acceptable. This has impacted customer onboarding and customer relationships for us on multiple fronts."

"We only use the core functionality and one of the reasons for this is that their security operation center needs improvement."

"There are some issues from an availability and functionality standpoint, meaning the tool is somewhat slow. There were some slow response periods over the past six to nine months, though it has yet to impact us terribly as we are a relatively small shop. We've noticed it, however, so Devo could improve the responsiveness."

"They can improve their AI capabilities"

"There's room for improvement within the GUI. There is also some room for improvement within the native parsers they support. But I can say that about pretty much any solution in this space."

More Devo 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."

"I like the pricing very much. They keep it simple. It is a single price based on data ingested, and they do it on an average. If you get a spike of data that flows in, they will not stick it to you or charge you for that. They are very fair about that."

"It's a per gigabyte cost for ingestion of data. For every gigabyte that you ingest, it's whatever you negotiated your price for. Compared to other contracts that we've had for cloud providers, it's significantly less."

"Devo was very cost-competitive... Devo did come with that 400 days of hot data, and that was not the case with other products."

"Our licensing fees are billed annually and per terabyte."

"I rate the pricing a four on a scale of one to ten, where one is cheap, and ten is expensive."

"It's very competitive. That was also a primary draw for us. Some of the licensing models with solutions like Splunk and Sentinel were attractive upfront, but there were so many micro-charges and services we would've had to add on to make them what we wanted. We had to include things like SOAR and extended capabilities, whereas all those capabilities are completely included with the Devo platform. I haven't seen any additional fee."

"Devo is definitely cheaper than Splunk. There's no doubt about that. The value from Devo is good. It's definitely more valuable to me than QRadar or LogRhythm or any of the old, traditional SIEMs."

"[Devo was] in the ballpark with at least a couple of the other front-runners that we were looking at. Devo is a good value and, given the quality of the product, I would expect to pay more."

More Devo pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

19%

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Financial Services Firm

18%

Computer Software Company

16%

Government

University

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 Devo?

Devo has a really good website for creating custom configurations.

What is your experience regarding pricing and costs for Devo?

Compared to Splunk or SentinelOne, it is really expensive. I rate the product’s pricing a nine out of ten, where one is cheap and ten is expensive.

What needs improvement with Devo?

They can improve their AI capabilities. If you look at some integrations like XDR or AI, which add to the platform to correlate situations in events, there are areas for enhancement. For instance, ...

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Comparisons

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Altair RapidMiner vs DataRobot

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Alteryx vs DataRobot

Compared 8% of the time

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IBM Security QRadar vs Devo

Compared 17% of the time

Splunk Enterprise Security vs Devo

Compared 17% of the time

Microsoft Sentinel vs Devo

Compared 16% of the time

LogRhythm SIEM vs Devo

Compared 6% of the time

Wazuh vs Devo

Compared 6% of the time

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Product Reports

Predictive Analytics

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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

Devo is the only cloud-native logging and security analytics platform that releases the full potential of all your data to empower bold, confident action when it matters most. Only the Devo platform delivers the powerful combination of real-time visibility, high-performance analytics, scalability, multitenancy, and low TCO crucial for monitoring and securing business operations as enterprises accelerate their shift to the cloud.

Sample Customers

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

United States Air Force, Rubrik, SentinelOne, Critical Start, NHL, Panda Security, Telefonica, CaixaBank, OpenText, IGT, OneMain Financial, SurveyMonkey, FanDuel, H&R Block, Ulta Beauty, Manulife, Moneylion, Chime Bank, Magna International, American Express Global Business Travel

DataRobot vs. Devo