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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:
 

ROI

Sentiment score
8.9
DataRobot saves companies $2 million annually by automating processes, improving time efficiency, and boosting productivity and reliability.
Sentiment score
7.4
Devo enhances efficiency by reducing MTTR, lowering costs, improving security and threat detection, and offering customizable auditing features.
Previously we had five employees doing the entire workflow, and now we can do it with two employees because agents are being used to do the same which was previously being done by the employees.
Advisory Solutions Architect at Dell Technologies
It has enabled time-saving and cost-saving, which are key benefits of DataRobot.
Quality Engineering Specialist at a consultancy with 1,001-5,000 employees
On average, we're saving about 10 to 15 hours per project.
Senior Data Reporting Analyst at University of Bradford
 

Customer Service

Sentiment score
8.3
DataRobot's customer service is proactive, quick, and helpful, offering strong support with effective problem resolution and collaboration.
Sentiment score
7.0
Devo's customer service is mixed, praised for responsiveness but criticized for ticket escalation, documentation, and onboarding delays.
Being cloud-hosted enables automatic resource scaling, which supports collaboration across teams.
Senior Data Reporting Analyst at University of Bradford
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
The DataRobot team was very helpful in answering the questions which the customer had.
Advisory Solutions Architect at Dell Technologies
I rate the customer support a nine out of ten because of their timely technical guidance and responsiveness during the deployment and troubleshooting periods.
Cyber Security Engineer II (Vulnerability & Threat Management) at FICO
 

Scalability Issues

Sentiment score
6.8
DataRobot is highly scalable and adaptable, particularly in healthcare, though cost becomes significant in later years.
Sentiment score
7.6
Devo's scalable cloud infrastructure supports diverse needs, unlimited growth, and is praised for flexibility and a strong support community.
DataRobot's scalability is impactful, as it really helps maintain various solutions across different requirements and features.
Quality Engineering Specialist at a consultancy with 1,001-5,000 employees
DataRobot is very scalable because the customer initially started with two licenses, and now they have around 20 licenses.
Advisory Solutions Architect at Dell Technologies
Devo is a unified SIEM solution designed to handle growing log volumes and enterprise-scale monitoring requirements.
Cyber Security Engineer II (Vulnerability & Threat Management) at FICO
 

Stability Issues

Sentiment score
8.1
DataRobot is praised for its stability, reliability, and convenience for edge analytics, attracting users from Amazon SageMaker.
Sentiment score
7.3
Devo is valued for its high stability and reliability, with minor issues quickly resolved and strong user satisfaction.
It is stable and reliable for our security operations.
Cyber Security Engineer II (Vulnerability & Threat Management) at FICO
 

Room For Improvement

DataRobot requires enhancements in integration, AI features, data handling, transparency, usability, and support for better user experience.
Devo requires improvements in stability, integration, documentation, customization, data handling, and user interface to enhance user experience.
If DataRobot also adds those data transformation capabilities, then it will be an end-to-end tool and the customer will not have to procure many tools for doing the ingestion and transformation process.
Advisory Solutions Architect at Dell Technologies
The integration of DataRobot would greatly benefit from allowing more realistic tools and would be improved if it integrates more comprehensively with AWS cloud and other cloud platforms.
Quality Engineering Specialist at a consultancy with 1,001-5,000 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
UI improvements, a simplified dashboard, or an easier reporting workflow could further improve analyst productivity.
Cyber Security Engineer II (Vulnerability & Threat Management) at FICO
Integrations with other sandboxes could be improved to better interpret data using AI and machine learning models.
Strategic Account Executive at a computer software company with 51-200 employees
 

Setup Cost

Enterprise users are divided on DataRobot's pricing, finding it either justified or costly, with room for pricing improvements.
Devo's attractive pricing offers transparency, extended capabilities, and bundled features, but metadata charges may impact overall savings.
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
 

Valuable Features

DataRobot streamlines machine learning with automation, enhancing model development and deployment for efficient and scalable predictive analytics.
Devo offers powerful data visualization, real-time analytics, advanced querying, and ease of integration, enhancing security efficiency across industries.
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
DataRobot has positively impacted my organization by driving an AI platform that encompasses the entire AI lifecycle, helping us experiment, build, deploy, monitor, and govern AI models in a secure and scalable way.
Quality Engineering Specialist at a consultancy with 1,001-5,000 employees
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
When they see a spike in a line chart for a failed login, which could be a true or false attempt, they can click that spike, and a table widget on the same active board instantly populates with raw logs of data for those specific failed logins.
Strategic Account Executive at a computer software company with 51-200 employees
When the analyst uses queries to search, it pulls the data quickly, in a second, which aids us greatly with the investigation.
Cyber Security Engineer II (Vulnerability & Threat Management) at FICO
 

Categories and Ranking

DataRobot
Ranking in AIOps
15th
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
Predictive Analytics (6th), AI Development Platforms (14th), AI Observability (28th), AI Finance & Accounting (8th)
Devo
Ranking in AIOps
18th
Average Rating
8.4
Reviews Sentiment
6.8
Number of Reviews
24
Ranking in other categories
Log Management (26th), Security Information and Event Management (SIEM) (28th), IT Operations Analytics (9th)
 

Mindshare comparison

As of June 2026, in the AIOps category, the mindshare of DataRobot is 1.6%, up from 0.6% compared to the previous year. The mindshare of Devo is 1.9%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AIOps Mindshare Distribution
ProductMindshare (%)
DataRobot1.6%
Devo1.9%
Other96.5%
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.
FR
Strategic Account Executive at a computer software company with 51-200 employees
Has improved investigative workflows with interactive dashboards and simplified data correlation
The data analytics cloud component focuses on real-time analytics, which is very impressive. The SIEM collects and correlates logs data from different sources and can integrate with ServiceNow, hardware asset management, and software asset management. The security orchestration, automation, and response (SOAR) is another valuable feature. The security data platform serves as the foundation of Devo. Regarding advanced query capabilities, Devo offers several models including query logs, visual query builder, language integrated query, and SQL, with SQL being the most frequently used querying data capability. The single pane of glass that Devo offers is the SOC. The tools in Devo's active ports are for investigating, not just viewing data. They are more interactive than other market solutions. The drill-down reports capabilities allow analysts to click on any element in a widget. When they see a spike in a line chart for a failed login, which could be a true or false attempt, they can click that spike, and a table widget on the same active board instantly populates with raw logs of data for those specific failed logins. This is particularly important for enterprise companies with numerous endpoints and users. The dynamic filtering of inputs significantly reduces the time cybersecurity analysts spend trying to figure out failed logins and identifying false positives.
report
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
15%
Construction Company
8%
Educational Organization
7%
Financial Services Firm
13%
Construction Company
10%
Computer Software Company
8%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise7
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise12
 

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?
DataRobot can actually be improved by having access to multiple data repositories. It is lacking in the ways in which it ingests data, in which it transforms the data because we need a separate dat...
What is your primary use case for DataRobot?
My main use case for DataRobot is to give an agentic AI flavor to my different customers because many of my customers are looking for a consumption tool when they are looking to implement GenAI in ...
What is your experience regarding pricing and costs for Devo?
Pricing generally depends on the scale, data ingestion requirements, and integrations for what the enterprise monitoring needs. I have not been part of the procurement process, so I am not aware of...
What needs improvement with Devo?
One improvement area for Devo could be simplifying some configuration and improving the onboarding for new analysts because it is quite complex for fresher or new analysts who are handling Devo.UI ...
What is your primary use case for Devo?
Devo serves as our centralized log monitoring, threat investigation, alert monitoring, and security analytics platform. We use it to collect logs from multiple systems so we can correlate the event...
 

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 2026.
899,258 professionals have used our research since 2012.