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Alteryx vs Domino Data Science Platform vs SAS Enterprise Miner 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 June 2025, in the Data Science Platforms category, the mindshare of Alteryx is 6.1%, down from 7.6% compared to the previous year. The mindshare of Domino Data Science Platform is 2.6%, down from 2.8% compared to the previous year. The mindshare of SAS Enterprise Miner is 0.9%, down from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

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.
AS
Accelerated machine learning model development with seamless deployment
We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-end development processes. Domino is based on Git, enabling collaboration similar to using Git. Each user operates on their own equivalent of a branch or fork, and once finished, they…
reviewer1352853 - PeerSpot reviewer
A stable product that is easy to deploy and can be used for structured and unstructured data mining
We use the solution for predictive analytics to do structured and unstructured data mining I like the way the product visually shows the data pipeline. The product must provide better integration with cloud-native technologies. I have been using the solution for 20 years. The product is very…

Quotes from Members

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

Pros

"Alteryx is so advanced. It's just drag and drop."
"It saves time on a lot projects. ​"
"My primary focus is creating numerous data pulls, and Alteryx Server handles the automation well."
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"The solution has excellent drag and drop functionality. There's no need for coding."
"Alteryx speeds up the time to obtain business answers/insights on data."
"Alteryx has a good UI. We use it frequently in our projects. The tool comes with drag-and-drop features and is easy to understand for business needs. One situation where Alteryx's advanced analytics capabilities were particularly beneficial for us was during a forecasting project. Unlike Python, which requires coding, Alteryx simplifies the process significantly. With Alteryx, users can adjust parameters within the user interface without writing any code."
"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."
"The scalability of the solution is good; I'd rate it four out of five."
"I like the way the product visually shows the data pipeline."
"Good data management and analytics."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is the decision tree creation."
"The technical support is very good."
"The solution is able to handle quite large amounts of data beautifully."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
 

Cons

"Alteryx can improve the model management and deployment processing of large workloads."
"From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific."
"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."
"I honestly can't think of anything that needs to be improved."
"Configuration is very low."
"The server is too expensive for what you get and it really a designer desktop on a server."
"Lacks an open source edition which would be helpful."
"The price of the solution could improve by being lower."
"The deployment of large language models (LLMs) could be improved."
"The predictive analysis feature needs improvement."
"Virtualization could be much better."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"The user interface of the solution needs improvement. It needs to be more visual."
"The ease of use can be improved. When you are new it seems a bit complex."
"Technical support could be improved."
"The solution is much more complex than other options."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The visualization of the models is not very attractive, so the graphics should be improved."
 

Pricing and Cost Advice

"The seat is too expensive."
"In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000."
"There is a license required for this solution."
"In my opinion, it's actually quite expensive."
"The designer license costs 5000 euros. The server edition is 1000 euros."
"Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
"The desktop platform costs $5,000 per year. It's very costly."
"It can be a bit pricey, especially after the first year."
Information not available
"This solution is for large corporations because not everybody can afford it."
"The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
"The solution must improve its licensing models."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
5%
Financial Services Firm
37%
Manufacturing Company
11%
Insurance Company
7%
Computer Software Company
7%
Financial Services Firm
27%
University
11%
Manufacturing Company
9%
Educational Organization
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 Domino Data Science Platform?
The deployment of large language models (LLMs) could be improved. Currently, Domino provides a simple server that can...
What is your primary use case for Domino Data Science Platform?
We used Domino Data Science Platform for developing and working with machine learning models. It facilitated end-to-e...
What advice do you have for others considering Domino Data Science Platform?
It's important to have a DevOps team well-versed with cloud-native solutions to manage Domino effectively. Relying so...
What do you like most about SAS Enterprise Miner?
I like the way the product visually shows the data pipeline.
What is your experience regarding pricing and costs for SAS Enterprise Miner?
The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a...
What needs improvement with SAS Enterprise Miner?
The product must provide better integration with cloud-native technologies.
 

Also Known As

No data available
Domino Data Lab Platform
Enterprise Miner
 

Interactive Demo

Demo not available
Demo not available
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Allstate, GSK, AstraZeneca, Federal Reserve, US Navy, Bristol Myers Squibb, Bayer, BNP Paribas, Moodys, New York Life
Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: June 2025.
856,807 professionals have used our research since 2012.