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DataRobot vs SAS Predictive Analytics vs ibi WebFOCUS comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Mindshare comparison

As of September 2025, in the Predictive Analytics category, the mindshare of DataRobot is 8.9%, up from 8.1% compared to the previous year. The mindshare of ibi WebFOCUS is 2.5%, up from 0.7% compared to the previous year. The mindshare of SAS Predictive Analytics is 3.5%, up from 2.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Predictive Analytics Market Share Distribution
ProductMarket Share (%)
DataRobot8.9%
ibi WebFOCUS2.5%
SAS Predictive Analytics3.5%
Other85.1%
Predictive Analytics
 

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.
Twanette Jurd - PeerSpot reviewer
Business Intelligence, reporting, data integration, ETL, data migration - everything is handled within one unified platform and highly scalable solution.
WebFOCUS goes beyond just dashboards. It's also used for operational reporting, making it crucial for mission-critical systems. In fact, a core strength is that it's not "just" a BI tool; it can be used to build complete applications. It is the best tool because of its all-in-one nature. Data integration, ETL, data migration, everything is handled within the same platform. Then, on the front end, it offers portals, reporting, distributed analysis, and more. For customers who have data in the right structure and right format, the WebFOCUS Designer tool is very powerful. It allows them to create self-service reporting applications.
it_user1139529 - PeerSpot reviewer
Drag-and-drop functionality makes the interface easy to use, but the technical support needs to be improved
There are not many people deploying models using this solution, which is a problem. I have done some cross-development and have found that when I am building models with the open-source software, the accuracy is better. For categorical data, the models built by SAS Emailer are very complex compared to those built by the open-source version. Technical support could be improved because they take too long to answer our queries. Models that are created are a block box, and you can't see the details.

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."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"DataRobot can be easy to use."
"DataRobot is highly automated, allowing data scientists to build models easily."
"The solution can read and write 500 different types of outputs."
"The most valuable feature is building ad hoc reports."
"It stands out for its ability to work across different platforms, support mainframe data, offer cloud integration, automate report scheduling, and provide a robust scripting language."
"I would rate the scalability a ten out of ten. It's highly scalable and can handle significant data volumes."
"The most valuable features are forecasting and reporting."
"The most valuable feature is its flexibility and the ability to integrate with SAS."
 

Cons

"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."
"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."
"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."
"The challenge lies not in what the tool can do but in how you use it and understand the data."
"If there were to be any improvements right now, their documentation needs to get in sync with their product."
"The solution can be improved by adding more automated options for reporting."
"When it comes to customer support, we don't always reach the right person. Sometimes, we get junior-level reps who aren't as knowledgeable as we are."
"Technical support could be improved because they take too long to answer our queries."
"I think that this solution should be more compatible with other software, including open-source solutions."
 

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 would rate the pricing a five out of ten, with ten being expensive."
"If SAS were more flexible in terms of licensing then that would be good, because it costs more than other solutions."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
10%
Retailer
8%
Financial Services Firm
16%
Government
11%
Manufacturing Company
11%
Computer Software Company
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise3
Large Enterprise14
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 noteb...
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...
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 Pytho...
What is your experience regarding pricing and costs for Information Builders WebFOCUS?
I would rate the pricing a five out of ten, with ten being expensive.
What is your primary use case for Information Builders WebFOCUS?
I use it for supplying and developing business intelligence (BI) solutions, data management and reporting application...
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Also Known As

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WebFOCUS
No data available
 

Overview

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Sample Customers

Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
Ace Hardware, AutoZone, Fred Hutch, MasterCard, OFS Brands, PostFinance, Real D, Yellow Pages, ABC Financial, AcuSport, BBVA, Babcock
MetLife
Find out what your peers are saying about Alteryx, Altair, SAP and others in Predictive Analytics. Updated: September 2025.
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