Try our new research platform with insights from 80,000+ expert users

Alteryx vs DataRobot vs SAS Predictive Analytics 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 Alteryx is 15.0%, down from 25.1% compared to the previous year. The mindshare of DataRobot is 8.9%, up from 8.1% 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 (%)
Alteryx15.0%
DataRobot8.9%
SAS Predictive Analytics3.5%
Other72.6%
Predictive Analytics
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
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.
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

"The filtering is fast, and it provides a search tool that is great."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"Alteryx offers a cognitive approach to better understand data and purposes."
"I like the solution's velocity, the speed with which it processes data, and its ease of use."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"The initial setup is easy."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"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."
"By automating highly technical aspects like model comparison, DataRobot enhances productivity and reduces project timelines from three months to less than one month."
"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."
"DataRobot is highly automated, allowing data scientists to build models easily."
"The most valuable feature is its flexibility and the ability to integrate with SAS."
"The most valuable features are forecasting and reporting."
 

Cons

"The next feature release should include easier reporting."
"The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections."
"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."
"I'd like it to be easier to work with PDF."
"Configuration is very low."
"It seems to me that it is not always user friendly."
"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."
"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."
"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."
"I think that this solution should be more compatible with other software, including open-source solutions."
"Technical support could be improved because they take too long to answer our queries."
 

Pricing and Cost Advice

"I rate the tool's pricing a two out of ten."
"The designer license costs 5000 euros. The server edition is 1000 euros."
"I rate the solution's pricing as a ten, as it is highly priced."
"It's very expensive. I'd rate it a four out of ten in terms of the price. It's great for big companies but not for small companies."
"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
"The desktop platform costs $5,000 per year. It's very costly."
"It can be a bit pricey, especially after the first year."
"It has a good price."
"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."
"If SAS were more flexible in terms of licensing then that would be good, because it costs more than other solutions."
report
Use our free recommendation engine to learn which Predictive Analytics solutions are best for your needs.
868,288 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
9%
Computer Software Company
9%
Retailer
6%
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
10%
Retailer
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise15
Large Enterprise51
No data available
No data available
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me direc...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, ...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say...
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...
Ask a question
Earn 20 points
 

Overview

Information not available
 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
MetLife
Find out what your peers are saying about Alteryx, Altair, SAP and others in Predictive Analytics. Updated: September 2025.
868,288 professionals have used our research since 2012.