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Alteryx vs Domino Data Science Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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

Alteryx
Ranking in Data Science Platforms
5th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
83
Ranking in other categories
Predictive Analytics (1st), Data Preparation Tools (1st)
Domino Data Science Platform
Ranking in Data Science Platforms
17th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2025, in the Data Science Platforms category, the mindshare of Alteryx is 5.7%, down from 7.2% compared to the previous year. The mindshare of Domino Data Science Platform is 2.6%, down from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Alteryx5.7%
Domino Data Science Platform2.6%
Other91.7%
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…

Quotes from Members

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

Pros

"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"The most valuable feature of Alteryx is its unlimited handling capabilities."
"It offered quick development, with the ability to process large datasets."
"One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"The most valuable feature for me is integration."
"The initial setup is easy."
"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."
"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."
 

Cons

"I'd like it to be easier to work with PDF."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting."
"Its most valuable feature lies in its functionality."
"Alteryx could be improved in the area of analytics and central governance."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."
"The predictive analysis feature needs improvement."
"The deployment of large language models (LLMs) could be improved."
 

Pricing and Cost Advice

"We use the free version of the solution. There are enterprise licenses available. It cost approximately $5,000 annually. It is an expensive solution and there are additional features that cost more money."
"It's probably on the pricey side, but they provide some really useful ways to grow and test."
"It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).​"
"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
"I rate the solution's pricing as a ten, as it is highly priced."
"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Manufacturing Company
9%
Computer Software Company
8%
Retailer
6%
Financial Services Firm
40%
Manufacturing Company
9%
Insurance Company
8%
Healthcare Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise15
Large Enterprise51
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 directly if you want to know more.
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, R integrations if your team requires this. It can handle over 2 billion rows of...
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 the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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 cannot handle big deployments, which is not suitable for LLMs.
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-end development processes. Domino is based on Git, enabling collaboration similar...
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 solely on data scientists might not be sufficient. I'd rate the solution eight out...
 

Also Known As

No data available
Domino Data Lab Platform
 

Interactive Demo

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
Find out what your peers are saying about Alteryx vs. Domino Data Science Platform and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.