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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
5th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
119
Ranking in other categories
Data Integration (12th), Predictive Analytics (1st), Data Preparation Tools (1st)
Domino Data Science Platform
Ranking in Data Science Platforms
16th
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 November 2026, in the Data Science Platforms category, the mindshare of Alteryx One is 4.1%, down from 5.2% compared to the previous year. The mindshare of Domino Data Science Platform is 1.8%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Alteryx One4.1%
Domino Data Science Platform1.8%
Other94.1%
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 is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"Overall, the solution as a whole is extremely useful."
"Alteryx is a simple and easy-to-use solution."
"The modeling features are very good."
"I like Alteryx's browser tool because you can view how your data is handled live. There are many other valuable tools like transpose and the crosstab. You can quickly pivot your data, and there are connections throughout the database. It's so easy to create a connection. If you connect to sign apps or a more complex database, the tool contains all the tools you need."
"It's fairly easy to use and easy to implement and deploy, and also makes it very easy to fetch data."
"The basic package of manipulation tools are the tools that my team use the most."
"There are a lot of good customization capabilities."
"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."
"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."
"We primarily use the solution for customer retention, but there are a lot of use cases for this particular product."
 

Cons

"The price could be better; though we are satisfied with the solution, we feel the price to be a bit on the expensive side and we would like to improve on and escalate Alteryx, but find it too expensive at the moment to do so."
"Due to some complexities in Alteryx, we are moving away from it."
"Alteryx needs to improve its web governance. The gallery you use to filter the data is something else that could use some work. For instance, if you have a report connected to a database and want to filter a specific user, you should be able to suggest a specific region or a particular year. I know that the Alteryx isn't designed for data governance, but that would be great to think about."
"Pricing flexibility can be better, especially for small teams and organizations, as the current licensing cost can be a barrier for wider adoption."
"Alteryx is a little bit expensive compared to competing solutions."
"For me, it was a bit challenging to figure out how to work with Alteryx."
"I think better visualization would be helpful to this solution."
"Alteryx needs to improve its web governance."
"Regarding Domino Data Science Platform's AI capabilities, I find its governance and security to be basic at present."
"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."
"The deployment of large language models (LLMs) could be improved."
"The predictive analysis feature needs improvement."
 

Pricing and Cost Advice

"I rate the tool's pricing a two out of ten."
"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."
"The cost of the solution could be reduced."
"The solution has a more costly license than other tools in the market."
"It has a good price."
"The tool is priced high."
"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 Alteryx Designer a six out of ten for pricing."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
9%
Construction Company
8%
Outsourcing Company
7%
Financial Services Firm
33%
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 need for AI governance that includes measuring model drift and assessing issues of large language models is something that Domino Data Science Platform really needs to strengthen, but I don't t...
What is your primary use case for Domino Data Science Platform?
I am a professional data scientist, and I use Domino Data Science Platform for basic data engineering and model development. I developed a model to help a client identify which customers they shoul...
What advice do you have for others considering Domino Data Science Platform?
I would rate Domino Data Science Platform an eight on a scale of one to ten. To be a ten, you would need to make a technology stack that is from the databases all the way through to advanced AI abi...
 

Also Known As

Alteryx Designer Cloud, Alteryx Designer
Domino Data Lab Platform
 

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Sample Customers

Siemens Energy, Bank of America, Coca-Cola, BT, Papa Johns, McLaren Racing
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.
920,769 professionals have used our research since 2012.