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Alteryx vs TIBCO Data Science 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
4th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
81
Ranking in other categories
Predictive Analytics (1st), Data Preparation Tools (1st)
TIBCO Data Science
Ranking in Data Science Platforms
24th
Average Rating
7.6
Reviews Sentiment
6.3
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of Alteryx is 6.5%, down from 8.2% compared to the previous year. The mindshare of TIBCO Data Science is 0.6%, up from 0.4% 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.
VS
A straightforward initial setup and good reporting but needs better documentation
It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

Quotes from Members

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

Pros

"Predictive models, which are easy to use, and help a lot with fast design and deployment​."
"The GUI is simple and it integrates with Python."
"The cloud deployment ensures it scales easily."
"All of the data science features in terms of unioning and joining data together are valuable."
"The drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."
"It is efficient in optimizing our ability to get information."
"The data transformation feature is the most valuable. The ability to ingest data, visualize data, and transform that data is useful."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"The idea that you don't have to generate reports each day but they are sent automatically is great."
"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."
"The most valuable feature is the performance."
"The most valuable feature is the ease of setting up visualizations."
 

Cons

"There are no ready models to use in analytics."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"The principal problem is the pricing. They're expensive products."
"It would be great to create the final users' visualization within Alteryx."
"Alteryx can improve the model management and deployment processing of large workloads."
"The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."
"Even when it already includes some AI models, this area could be improved."
"The solution could improve in the visualization."
"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."
"I would like the visualization for the map of countries to be more easily configurable."
"The scripting for customization could be improved."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
 

Pricing and Cost Advice

"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
"​Very transparent.​"
"The designer license costs 5000 euros. The server edition is 1000 euros."
"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."
"It's probably on the pricey side, but they provide some really useful ways to grow and test."
"Alteryx is generally more suited for medium—to large companies due to its potentially high licensing costs."
"The designer has a list price of $5,995 USD."
"While it offers extensive features, including predictive analytics, for those who mainly use it for data preparation and blending, the cost can be prohibitive."
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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
10%
Computer Software Company
9%
Healthcare Company
6%
No data available
 

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 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...
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Comparisons

 

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Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Havas Media, Tipping Point Community, eviCore
Find out what your peers are saying about Alteryx vs. TIBCO Data Science and other solutions. Updated: March 2025.
842,592 professionals have used our research since 2012.