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DataRobot vs Devo 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 (13th)
Devo
Ranking in AIOps
17th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
Log Management (27th), Security Information and Event Management (SIEM) (25th), IT Operations Analytics (8th)
 

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 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 - 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.
Michael Wenn - PeerSpot reviewer
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.

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."
"DataRobot is highly automated, allowing data scientists to build models easily."
"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."
"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."
"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."
"Scalability is one of Devo's strengths."
"Devo has a really good website for creating custom configurations."
"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 user interface is really modern. As an end-user, there are a lot of possibilities to tailor the platform to your needs, and that can be done without needing much support from Devo. It's really flexible and modular. The UI is very clean."
"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."
"In traditional BI solutions, you need to wait a lot of time to have the ability to create visualizations with the data and to do searches. With this kind of platform, you have that information in real-time."
"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."
 

Cons

"There are some performance issues."
"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."
"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."
"Some of the documentation could be improved a little bit. A lot of times it doesn't go as deep into some of the critical issues you might run into. They've been really good to shore us up with support, but some of the documentation could be a little bit better."
"Technical support could be better."
"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 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."
"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."
"They can improve their AI capabilities"
"Some basic reporting mechanisms have room for improvement. Customers can do analysis by building Activeboards, Devo’s name for interactive dashboards. This capability is quite nice, but it is not a reporting engine. Devo does provide mechanisms to allow third-party tools to query data via their API, which is great. However, a lot of folks like or want a reporting engine, per se, and Devo simply doesn't have that. This may or may not be by design."
 

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."
"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."
"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."
"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."
"Be cautious of metadata inclusion for log types in pricing, as there are some "gotchas" with that."
"Our licensing fees are billed annually and per terabyte."
"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."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Educational Organization
13%
Manufacturing Company
9%
Computer Software Company
9%
Financial Services Firm
18%
Computer Software Company
15%
Government
8%
University
8%
 

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, ...
 

Comparisons

 

Overview

 

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
Find out what your peers are saying about DataRobot vs. Devo and other solutions. Updated: April 2025.
857,028 professionals have used our research since 2012.