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Alteryx One vs Domino Data Science Platform comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 16, 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

Alteryx One
Ranking in Data Science Platforms
4th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
119
Ranking in other categories
Data Integration (11th), Predictive Analytics (2nd), Data Preparation Tools (1st)
Domino Data Science Platform
Ranking in Data Science Platforms
17th
Average Rating
8.2
Reviews Sentiment
6.0
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Data Science Platforms category, the mindshare of Alteryx One is 3.8%, down from 5.7% compared to the previous year. The mindshare of Domino Data Science Platform is 1.8%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Alteryx3.8%
Domino Data Science Platform1.8%
Other94.4%
Data Science Platforms
 

Featured Reviews

ManojBehera - PeerSpot reviewer
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Automated complex ETL workflows have reduced coding effort and improved data integration
One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements. Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data. The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me. We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.
reviewer2906820 - PeerSpot reviewer
Partner, AI and Machine Learning at a consultancy with 11-50 employees
Portable code has empowered cross‑client data science and now supports collaborative AI projects
Machine learning AI platforms like Domino Data Science Platform have the problem that they need to demonstrate well to citizen data scientists and technology management, so they need to make AI look easy. They also need to demonstrate well to professional data scientists who want to have their hands on as much power and scalability as possible. Lastly, they need to serve what we call MLOps engineers and software engineers to take the models and move them to production deployment. Those three personalities want a tool to look three different ways, and Domino Data Science Platform does a really good job at that. Domino Data Science Platform makes it accessible to citizen data scientists with basic concepts for IT management, has robust abilities to serve professional data scientists, and also has abilities to help MLOps and DataOps people deploy. I think the ability to select your environment, your containers, and your scalability, to use lots of computing memory when you need it, and then build your model, create your architectures, and then scale back to different sizes of the platforms as you need it is the area that Domino Data Science Platform stands out the most for professional data scientists. The ability to do the code yourself in Python and at the same time have automatic version control is really helpful too. I would highlight that Domino Data Science Platform is closer to Databricks, and while I have also used Dataiku, I would say that Dataiku is actually closer to the citizen data scientist platform.

Quotes from Members

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

Pros

"It's fairly easy to use and easy to implement and deploy, and also makes it very easy to fetch data."
"It is efficient in optimizing our ability to get information."
"Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter."
"The GUI is simple and it integrates with Python."
"The support is very good."
"I like Alteryx Designer's drag-and-drop feature, where you drag a component, configure it and quickly run it."
"Any company considering a data processing platform which is light, offers good flexibility, and deals with moderate or low sized data, will find this is a really good spend."
"I have been pretty satisfied with Alteryx's data blending feature as it is quite easy to use as a non-code platform."
"Domino Data Science Platform makes it accessible to citizen data scientists with basic concepts for IT management, has robust abilities to serve professional data scientists, and also has abilities to help MLOps and DataOps people deploy."
"The workspaces, which are like wrappers of Docker containers, made it easy to start development environments using Domino."
"In terms of my experience deploying models using Domino Data Science Platform, I have previously worked with Google Cloud and Vertex AI, as well as Azure Machine Learning Studio, but I find that Domino Data Lab is a much more advanced platform specifically tailored for model deployment, which significantly eases our workflow."
"The scalability of the solution is good; I'd rate it four out of five."
"We primarily use the solution for customer retention, but there are a lot of use cases for this particular product."
 

Cons

"The price for Alteryx Designer is reasonable but the price of the Alteryx Server for universal collaborations is too expensive."
"The formula we currently use in Alteryx can be automated."
"Alteryx Designer overall should be easier to use."
"If there is any way to make the learning curve less steep, that would be ideal."
"The desktop license is expensive."
"It would be simpler if they provided a component where you could simply enter some parameters and see the results."
"The solution could improve in the visualization."
"If the price were reduced then it would be more competitive."
"Improvement areas for Domino Data Science Platform could relate to resource monitoring capabilities; adding visuals that stakeholders can review would enhance awareness of resource usage and its impact on applications and costs."
"Regarding Domino Data Science Platform's AI capabilities, I find its governance and security to be basic at present."
"The predictive analysis feature needs improvement."
"The deployment of large language models (LLMs) could be improved."
 

Pricing and Cost Advice

"It has a good price."
"I rate the tool's pricing a two out of ten."
"The designer has a list price of $5,995 USD."
"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."
"I rate the solution's pricing as a ten, as it is highly priced."
"The pricing is $5000 per year per production license."
"The pricing is bit expensive."
"It is too expensive for our country. We are a small country, so it is too difficult to sell this solution. With Alteryx Designer, if you want to automate the data and run the flows, you have to pay more money. We were trying to automate the flows, and we found out that people have to pay 600 more for this feature, which makes it even more expensive. We are a partner for Tableau, and we are working with Tableau Prep, which is like a mini Alteryx. In Tableau Prep, you can drag and drop and make new connections with the different data sources. You can make all the connections. You can also publish a source. You don't have to pay more money with Tableau. You pay like $5 per user per month to access it."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
8%
Outsourcing Company
6%
Financial Services Firm
35%
Manufacturing Company
9%
Insurance Company
8%
Comms Service Provider
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise20
Large Enterprise73
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

Alteryx Designer Cloud, Alteryx Designer
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 One vs. Domino Data Science Platform and other solutions. Updated: September 2026.
917,181 professionals have used our research since 2012.