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DataRobot vs Red Hat Lightspeed comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 7, 2026

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 Predictive Analytics
6th
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
7
Ranking in other categories
AI Development Platforms (14th), AIOps (15th), AI Observability (28th), AI Finance & Accounting (8th)
Red Hat Lightspeed
Ranking in Predictive Analytics
4th
Average Rating
8.8
Reviews Sentiment
3.7
Number of Reviews
12
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Predictive Analytics category, the mindshare of DataRobot is 5.7%, down from 9.3% compared to the previous year. The mindshare of Red Hat Lightspeed is 5.8%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Predictive Analytics Mindshare Distribution
ProductMindshare (%)
Red Hat Lightspeed5.8%
DataRobot5.7%
Other88.5%
Predictive Analytics
 

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.
VishalSingh15 - PeerSpot reviewer
Head of Business at Variyas Labs Pvt Ltd
Have found limited automation capabilities while configuration has remained complex despite reliable monitoring features
In terms of configuration, Red Hat Insights could use some improvement. When I deploy Red Hat, the installation means a pure vanilla installation where you run and install a product out of the box, but deployment involves configuration plus all necessary tooling to run that product, which requires human input to complete the installation, configurations, and integration. Red Hat Insights has very limited automation; it only detects anomalies and triggers corrective actions for compliance issues, something which I found lacking when compared to other tools I've used.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"DataRobot is highly automated, allowing data scientists to build models easily."
"Tasks such as model testing, feature engineering, and predictions that used to take us days or weeks can now be accomplished in hours."
"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."
"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."
"Previously we had five or six processes which used to be done manually by different people and that has been transformed using DataRobot because agents now are doing the same thing, resulting in a lot of money saved and around $2 million in cost savings for the bank."
"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."
"The most valuable features of Red Hat Enterprise Linux are the mobile applications and getting real-time notifications."
"RHEL enables us to deploy applications and emerging workloads across bare-metal and virtualized environments and I find those workloads to be extremely reliable. The reliability is so good that I rarely find myself calling Red Hat support any longer. Support is the first benefit of using RHEL, but the second thing is that the platform is so stable that the need to use support is negligible."
"I have seen a return on investment, especially considering the time taken to resolve the problem where we bought some support from Red Hat."
"Red Hat Enterprise Linux has made significant improvements in terms of storage. You can mount an 18 terabyte file system. It also supports NFS shares and the SIP share for the photos. There have been many features added since RHEL 6. It's more user-friendly and graphical."
"The most valuable feature of Red Hat Insights that I have found is the proactive information on issues that you don't see but are possibly going to happen in the environment."
"The reliability is so good that I rarely find myself calling Red Hat support any longer."
"The tool is simple and easy to use. It has good support and doesn't have many outages due to the OS."
"RHEL is the most reliable Linux flavor in terms of enterprise governance. I prefer it for its code stability, support, and integration. The lifecycle management features help us maintain compliance and keep the components updated."
 

Cons

"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 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 data manipulation tool for which we need to have somebody else."
"There is a lack of transparency in the models; sometimes it feels like a black box."
"We dropped the plan to use DataRobot because we found the pricing to be on the higher side."
"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."
"New products need better documentation. The websites also have a single sign-on to get you from one side to the other. As a partner, I had a problem finding out how I needed to connect and to which side of the solution."
"All resources should be available on the website."
"There is potential for improvement when it comes to ease of use. It has become easier to use over the years but could be better still. Linux, in general, has never been a simple solution. It's usually a more complex solution than something like Windows. If there is a downside, it's that it is more complex than some of the other solutions."
"Red Hat Insights has very limited automation; it only detects anomalies and triggers corrective actions for compliance issues, something which I found lacking when compared to other tools I've used."
"The cockpit server doesn't work and is useless. I don't like the images shown in GCP. I prefer the ones in AWS. It seems like the solution is in tune with what we deploy on the private cloud."
"I would like to see improvements made to the subscriptions and management of them."
"What could be improved dramatically is the ability to have it used by an enterprise, which means to interlock with Ansible Automation Platform first."
"AIX will be out of support in the next few years, so that is a problem because a lot of the clinical apps use AIX."
 

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."
"RHEL is expensive. We have changed the cloud provider's subscription to a pay-as-you-go model."
"Regarding the prices, the new changes are actually not bad as it works for enterprise solutions."
"This is not a cheap solution but it gets you the support if you ever need it."
"The prices are comparable, and good for what is being provided."
"If you have a subscription to Red Hat Enterprise Linux, Red Hat Insights is free."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
13%
Educational Organization
8%
Construction Company
8%
Retailer
13%
Construction Company
11%
Marketing Services Firm
11%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise9
 

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 needs improvement with Red Hat Insights?
In terms of configuration, Red Hat Insights could use some improvement. When I deploy Red Hat, the installation means a pure vanilla installation where you run and install a product out of the box,...
What is your primary use case for Red Hat Insights?
I did not purchase the product through AWS Marketplace; AWS was primarily used as the platform for workloads. We use basic services within AWS, but I did not use anything from the marketplace becau...
What advice do you have for others considering Red Hat Insights?
In terms of optimizing risk identification, I would rate Red Hat Insights around five to six on a scale of 1 to 10. I would give Red Hat Insights an overall rating of six on a scale from 1 to 10. I...
 

Comparisons

 

Also Known As

No data available
Red Hat Insights
 

Overview

 

Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Cerner, Government of Nova Scotia
Find out what your peers are saying about DataRobot vs. Red Hat Lightspeed and other solutions. Updated: April 2026.
896,510 professionals have used our research since 2012.