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Alteryx vs Dataiku vs TIBCO Data Science 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 April 2026, in the Data Science Platforms category, the mindshare of Alteryx is 3.7%, down from 6.5% compared to the previous year. The mindshare of Dataiku is 6.7%, down from 12.5% compared to the previous year. The mindshare of TIBCO Data Science is 1.5%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dataiku6.7%
Alteryx3.7%
TIBCO Data Science1.5%
Other88.1%
Data Science Platforms
 

Featured Reviews

Rajneesh Prajapati - PeerSpot reviewer
Senior Rpa Consultant at Accely Consulting
Time-saving workflows have transformed data preparation and predictive analysis for my team
Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau. In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data. Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.
SK
Senior Data Scientist at Deloitte
Visual workflows have streamlined healthcare analytics and have reduced reporting time significantly
In terms of improvement, I cannot comment on the LLMs or the agentic view as I have not used them yet. However, I feel that better documentation is necessary. Dataiku should establish a stronger community since this is proprietary software, where users can share knowledge. Although they have some community interaction, it is often challenging to find assistance when stuck. For example, when I was new to Dataiku and trying to use an external optimization tool such as CPLEX, I struggled with resource directory linking to a project's notebook. Detailed documentation and community discussions could have significantly alleviated these issues for users such as myself.
JS
Tibco Spotfire Expert (contractor via Amaris) at GSK
Good performance, reporting, and data visualization
The two similar solutions that I have used are MicroStrategy and Tableau. Tableau is pretty similar and it would be difficult for me to point out the differences. With MicroStrategy, it has a great feature where you build the representation in the database and it then the tool creates SQL queries by itself. There are more differences between these tools but this is the one essential difference.

Quotes from Members

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

Pros

"My primary focus is creating numerous data pulls, and Alteryx Server handles the automation well."
"I believe that the ability to leverage the gallery for scalability, as well as the general data blending functionality, is most beneficial to our core-based users."
"Alteryx allowed us to access all the data, blend it, and output it as a dashboard for the user to access any time they needed it."
"I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful."
"The most valuable feature for me is integration."
"The three data signs and data engineering are great features."
"The solution has excellent drag and drop functionality. There's no need for coding."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"Our clients can easily drag and drop components and use them on the spot."
"Dataiku has positively impacted my organization since we use it majorly for our day-to-day work, and it is very helpful in creating and managing ETL pipelines to create a project flow, making it easy to go back to any step and then make edits if some changes occur."
"Dataiku is a complete platform to build ETL and data pipeline and deploy it, which I appreciate."
"Dataiku is really a very intuitive platform that allows you to carry out data projects from end to end, with the opportunity to reuse templates, models, and recipes, which is one of the big advantages of using it."
"Data Science Studio's data science model is very useful."
"The advantage is that you can focus on machine learning while having access to what they call 'recipes.' These recipes allow me to preprocess and prepare data without writing any code."
"Dataiku has positively impacted my organization as most of our projects have been migrated to Dataiku, and now people are relying on it as a go-to tool for all our data use cases."
"The best feature in Dataiku is that once the data is connected in the underneath layer, it flows exceptionally smoothly if you know how to tweak it."
"The idea that you don't have to generate reports each day but they are sent automatically is great."
"The most valuable feature is the performance."
"The most valuable feature is the ease of setting up visualizations."
"In this sector of the market, it is indeed a better tool than the other data analytics tool, such as QlikView, for example."
"In general, I would say that this is a good tool and I recommend it."
"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."
"We like the way we can drill down into each report to get back data on each project, and from the portfolio level I can see what is happening on it, including indirect costs hitting each CIO portfolio and actual resources in terms of time as well as cost."
"The most valuable feature is the ease of setting up visualizations."
 

Cons

"Technical support is okay and could be better. Sometimes, it takes about two to five days to hear an answer from the technical support team."
"The software is not fully optimized."
"For me, it was a bit challenging to figure out how to work with Alteryx."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"I need to stress upon the part about customer support because there are some product issues we have identified and raised with customer support, but sometimes the response is delayed, so that can be improved."
"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."
"One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated."
"I would like to have better exclusion of data capability."
"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."
"The license is very expensive."
"In terms of enhancing collaboration within my team, I would not say Dataiku is the best one because it's so expensive."
"We still encounter some integration issues."
"At this point, there are other tools that I would recommend before using Spotfire."
"The scripting for customization could be improved."
"The initial setup was quite complex."
"Additional templates would help to get things moving more quickly in terms of getting the reports out."
"Whenever the client or someone was opening the report it would take around 15 to 20 minutes to open the first time."
"The scripting for customization could be improved."
"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."
 

Pricing and Cost Advice

"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
"It has a good price."
"I rate the tool's pricing a two out of ten."
"The desktop platform costs $5,000 per year. It's very costly."
"Alteryx is generally more suited for medium—to large companies due to its potentially high licensing costs."
"The cost of Alteryx is approximately $2,900 annually."
"The designer license costs 5000 euros. The server edition is 1000 euros."
"There is a license required for this solution."
"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."
"Pricing is pretty steep. Dataiku is also not that cheap."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Computer Software Company
7%
Retailer
6%
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
9%
Energy/Utilities Company
6%
Comms Service Provider
16%
Construction Company
15%
Manufacturing Company
11%
Financial Services Firm
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise15
Large Enterprise54
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise13
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 is your experience regarding pricing and costs for Dataiku Data Science Studio?
I am not the person involved in the process regarding pricing, setup cost, and licensing.
What needs improvement with Dataiku Data Science Studio?
To improve Dataiku, it could enhance its visualization features, as it is not possible in Dataiku to create direct vi...
What is your primary use case for Dataiku Data Science Studio?
My main use case for Dataiku is for data science and AI projects. I use Dataiku for a demand forecasting use case whe...
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Also Known As

No data available
Dataiku DSS
Alpine Data Chorus
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Havas Media, Tipping Point Community, eviCore
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