DataRobot vs Devo comparison

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95% willing to recommend

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: March 2025).

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DataRobot vs. Devo

March 2025

Helped 846,617 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

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 April 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

"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."

"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 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."

"The most valuable feature is definitely the ability that Devo has to ingest data. From the previous SIEM that I came from and helped my company administer, it really was the type of system where data was parsed on ingest. This meant that if you didn't build the parser efficiently or correctly, sometimes that would bring the system to its knees. You'd have a backlog of processing the logs as it was ingesting them."

"It's very, very versatile."

"The most powerful feature is the way the data is stored and extracted. The data is always stored in its original format and you can normalize the data after it has been stored."

"Being able to build and modify dashboards on the fly with Activeboards streamlines my analyst time because my analysts aren't doing it across spreadsheets or five different tools to try to build a timeline out themselves. They can just ingest it all, build a timeline out across all the logging, and all the different information sources in one dashboard. So, it's a huge time saver. It also has the accuracy of being able to look at all those data sources in one view. The log analysis, which would take 40 hours, we can probably get through it in about five to eight hours using Devo."

"The strength of Devo is not only in that it is pretty intuitive, but it gives you the flexibility and creativity to merge feeds. The prime examples would be using the synthesis or union tables that give you phenomenal capabilities... The ability to use a synthesis or union table to combine all those feeds and make heads or tails of what's going on, and link it to go down a thread, is functionality that I hadn't seen before."

"The most useful feature for us, because of some of the issues we had previously, was the simplicity of log integrations. It's much easier with this platform to integrate log sources that might not have standard logging and things like that."

"The alerting is much better than I anticipated. We don't get as many alerts as I thought we would, but that nobody's fault, it's just the way it is."

"Even if it's a relatively technical tool or platform, it's very intuitive and graphical. It's very appealing in terms of the user interface. The UI has a graphically interface with the raw data in a table. The table can be as big as you want it, depending on your use case. You can easily get a report combining your data, along with calculations and graphical dashboards. You don't need a lot of training, because the UI is relatively very intuitive."

More Devo pros

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."

"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."

"From our experience, the Devo agent needs some work. They built it on top of OS Query's open-source framework. It seems like it wasn't tuned properly to handle a large volume of Windows event logs. In our experience, there would definitely be some room for improvement. A lot of SIEMs on the market have their own agent infrastructure. I think Devo's working towards that, but I think that it needs some improvement as far as keeping up with high-volume environments."

"My opinion on the solution's technical support is not as great as it could be because of the issues I have faced regarding the service management element."

"The price is one problem with Devo."

"Devo has a lot of cloud connectors, but they need to do a little bit of work there. They've got good integrations with the public cloud, but there are a lot of cloud SaaS systems that they still need to work with on integrations, such as Salesforce and other SaaS providers where we need to get access logs."

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

"The biggest area with room for improvement in Devo is the Security Operations module that just isn't there yet. That goes back to building out how they're going to do content and larger correlation and aggregation of data across multiple things, as well as natively ingesting CTI to create rule sets."

"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."

"One major area for improvement for Devo... is to provide more capabilities around pre-built monitoring. They're working on integrations with different types of systems, but that integration needs to go beyond just onboarding to the platform. It needs to include applications, out-of-the-box, that immediately help people to start monitoring their systems. Such applications would include dashboards and alerts, and then people could customize them for their own needs so that they aren't starting from a blank slate."

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'm not involved in the financial aspect, but I think the licensing costs are similar to other solutions. If all the solutions have a similar cost, Devo provides more for the money."

"We have an OEM agreement with Devo. It is very similar to the standard licensing agreement because we are charged in the same way as any other customer, e.g., we use the backroom."

"[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."

"Devo is a hosted or subscription-based solution, whereas before, we purchased QRadar, so we owned it and just had to pay a maintenance fee. We've encountered this with some other products, too, where we went over to subscription-based. Our thought process is that with subscription based, the provider hosts and maintains the tool, and it's offsite. That comes with some additional fees, but we were able to convince our upper management it was worth the price. We used to pay under 10k a year for maintenance, and now we're paying ten times that. It was a relatively tough sell to our management, but I wonder if we have a choice anymore; this is where the market is."

"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."

"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."

"The way Devo prices things is based on the amount of data, and I wish the tiers had more granularity. Maybe at this point they do, but when we first negotiated with them, there were only three or four tiers."

"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."

More Devo pricing and cost advice

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Top Industries

By visitors reading reviews

Educational Organization

20%

Financial Services Firm

13%

Manufacturing Company

Computer Software Company

Financial Services Firm

17%

Computer Software Company

15%

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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Compared 18% of the time

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Compared 18% of the time

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Compared 17% of the time

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Compared 6% of the time

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Compared 6% of the time

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Product Reports

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Predictive Analytics

March 2025

Download Devo product report

April 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

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