Alteryx One vs Dataiku comparison

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Alteryx One

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Executive SummaryUpdated on Oct 16, 2026

Alteryx and Dataiku are major players in the data analytics and preparation sector. Based on feature comparisons, Alteryx appears to have the advantage due to its intuitive drag-and-drop interface and strong geospatial analytics capabilities, making it accessible for users with limited coding skills.

Features: Alteryx is characterized by its user-friendly drag-and-drop interface, robust integration for data blending, and superior capabilities in geospatial analytics. It allows automation of complex workflows, facilitating data integration without requiring coding skills. Dataiku, on the other hand, excels in supporting machine learning and real-time analytics on its no-code/low-code platform, providing extensive feature store management and seamless cloud integration, catering to both technical and non-technical users.

Room for Improvement: Alteryx could enhance its data visualization capabilities and broaden its database integration for in-database processing. Additionally, its high cost is a barrier to scalability. Dataiku, meanwhile, needs to improve its visualization features for better accessibility of insights and strengthen its integration for non-technical users, although its pricing is also on the higher side.

Ease of Deployment and Customer Service: Alteryx offers flexibility with on-premises, hybrid, and cloud deployments, though its preference leans towards on-premises. Its customer support is generally responsive, though recent changes have raised some concerns. Dataiku is robust in cloud deployments, and its technical support is well-received but could be more accessible for smaller teams due to cost constraints.

Pricing and ROI: Both Alteryx and Dataiku are considered expensive, with Alteryx presenting a restrictive pricing model for smaller businesses. However, Alteryx users find significant ROI through automation and efficiency gains. Dataiku's pricing is traditionally high but provides a comprehensive data science package that appeals to large enterprises, offering competitive returns through time and decision-making improvements.

To learn more, read our detailed Alteryx One vs. Dataiku Report (Updated: September 2026).

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Alteryx One vs. Dataiku

September 2026

Helped 917,181 peers since 2012

Review summaries and opinions

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

ROI

Sentiment score

6.6

Alteryx delivers quick ROI with enhanced efficiency, justifying higher costs through automation, time savings, and improved data accuracy.

Sentiment score

4.9

Dataiku streamlines cross-functional projects for data scientists, enhancing compliance and suggesting a shift to consumption-based pricing.

Tasks that earlier took hours in Excel or SQL are now completed in minutes.

Senior Rpa Consultant at a computer software company with 51-200 employees

From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.

For more quotes and insights, download the Alteryx One report

Senior Staff Cyber Security Cloud Data Architect at GE Healthcare

Alteryx helps familiarize managers with artificial intelligence-driven possibilities.

Joseph VolkanOzcan

Chief Information Officer at granistr

The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.

For more quotes and insights, download the Dataiku report

Cognitive Business Operation at a consultancy with 10,001+ employees

I consider the return on investment with Dataiku valuable because for us, it is one single platform where all our data scientists come together and work on any model building, so it is collaboration, plus having everything in one place, organized, having proper project management, and then built-in capabilities which help to facilitate model building.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

It is a good return on investment since it helps save a lot of time, and it's easy for my teammates to work cross-functionally on the same project.

reviewer2811273

Data Scientist at a tech vendor with 51-200 employees

Customer Service

Sentiment score

7.1

Alteryx's support is praised for responsiveness and community, though some note occasional delays and varied support quality.

Sentiment score

5.3

Dataiku customer service offers quick responses and varying support experiences, with local partnerships aiding in industry-specific assistance.

Customer support from Alteryx has been amazing.

For more quotes and insights, download the Alteryx One report

Senior Staff Cyber Security Cloud Data Architect at GE Healthcare

they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.

AditiSharma

Senior Analyst at Guardian India Operation

I contacted customer support once or twice, and they were quick to respond.

Milind Shimpi

Experience Technocrat driving IT initiatives at WISDOMBOWL

Dataiku partners with local industry experts who understand the business better and provide support.

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

The support team does not provide adequate assistance.

For more quotes and insights, download the Dataiku report

Cognitive Business Operation at a consultancy with 10,001+ employees

They should not take the complaints so lightly.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

Scalability Issues

Sentiment score

7.2

Alteryx is scalable for enterprise needs, handling large datasets efficiently, but cost and Designer limitations are concerns.

Sentiment score

5.8

Dataiku offers scalable solutions with cloud integration, supporting expansion and seamless team adaptation, despite minor performance concerns with large data.

Alteryx is scalable for most enterprise analytics and data preparation workloads.

Senior Rpa Consultant at a computer software company with 51-200 employees

Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.

For more quotes and insights, download the Alteryx One report

Senior Staff Cyber Security Cloud Data Architect at GE Healthcare

Alteryx is scalable, and I would give it eight out of ten.

Milind Shimpi

Experience Technocrat driving IT initiatives at WISDOMBOWL

Dataiku is quite scalable, as long as I can pay for more licenses, there is no technical limitation.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

Dataiku's scalability is pretty good; I can scale the projects very easily, and clear guidance is given as well.

Manikya Arora

Solution Architect at a pharma/biotech company with 10,001+ employees

For more quotes and insights, download the Dataiku report

Stability Issues

Sentiment score

7.8

Alteryx is praised for its stability and reliability, especially with large datasets, outperforming competitors in speed and consistency.

Sentiment score

6.9

Dataiku is stable for most users, though some experience issues with complex tasks, updates, and data quality variations.

I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.

reviewer2305626

Software Engineer at a computer software company with 10,001+ employees

I have not encountered any lagging, crashing, or instability in the system during these three months of usage.

Fillipe Tahim

Legal Coordinator at a transportation company with 10,001+ employees

Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.

AditiSharma

Senior Analyst at Guardian India Operation

For more quotes and insights, download the Alteryx One report

It would help if there was a backup proposition in place to avoid hampering our work due to updates.

Shubhamkumar Gomar

Senior Data Scientist at Deloitte

For around ten percent of the day, it is usually down, and we are unable to do work on it.

reviewer2811273

Data Scientist at a tech vendor with 51-200 employees

In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.

Ravi-Srivastava

Data Scientist at Ericsson

For more quotes and insights, download the Dataiku report

Room For Improvement

Alteryx needs better database connectivity, visualization, pricing, cloud deployment, documentation, and user interface for improved usability and performance.

Dataiku faces challenges like high cost, complex interface, and limited support, requiring improvements in integration, visualization, and documentation.

The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.

Fillipe Tahim

Legal Coordinator at a transportation company with 10,001+ employees

The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.

Theresa McLaughlin

Senior Capacity Planner at a financial services firm with 10,001+ employees

The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.

reviewer2749530

Senior Consultant at a consultancy with 201-500 employees

For more quotes and insights, download the Alteryx One report

Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.

Durgesh-Singh

Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees

The license is very expensive.

Ramon Roman Viñas

Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació

I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the Dataiku report

Setup Cost

Alteryx is praised for features but noted for high costs, leading some to seek affordable alternatives for smaller teams.

Dataiku's pricing is high and varies, with enterprise expense concerns, yet it's relatively affordable for large companies.

The price is very high, with licensing typically starting around five thousand dollars plus user per year.

Senior Rpa Consultant at a computer software company with 51-200 employees

We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.

For more quotes and insights, download the Alteryx One report

Senior Staff Cyber Security Cloud Data Architect at GE Healthcare

Alteryx is more cost-effective compared to Informatica licenses, offering savings.

reviewer2305626

Software Engineer at a computer software company with 10,001+ employees

There are no extra expenses beyond the existing licensing cost.

Ramon Roman Viñas

Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació

I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

The pricing for Dataiku is very high, which is its biggest downside.

For more quotes and insights, download the Dataiku report

Cognitive Business Operation at a consultancy with 10,001+ employees

Valuable Features

Alteryx offers automation, user-friendly drag-and-drop features, enabling efficient data processing, predictive analytics, and geospatial analysis for diverse industries.

Dataiku offers intuitive tools for data preparation and integration, supporting collaboration, scalability, and efficiency for diverse teams.

Alteryx not only represents data but also supports decision-making by suggesting the next steps.

Joseph VolkanOzcan

Chief Information Officer at granistr

Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.

reviewer2749530

Senior Consultant at a consultancy with 201-500 employees

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.

For more quotes and insights, download the Alteryx One report

Senior Rpa Consultant at a computer software company with 51-200 employees

This feature is useful because it simplifies tasks and eliminates the need for a data scientist.

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.

reviewer2667285

Big Data Consultant at a computer software company with 1,001-5,000 employees

It offers most of the capabilities required for data science, MLOps, and LLMOps.

For more quotes and insights, download the Dataiku report

Cognitive Business Operation at a consultancy with 10,001+ employees

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)

Dataiku

Ranking in Data Science Platforms

2nd

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

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 Dataiku is 4.4%, down from 11.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dataiku	4.4%
Alteryx	3.8%
Other	91.8%

Data Science Platforms

Featured Reviews

Automated complex ETL workflows have reduced coding effort and improved data integration

Senior Staff Cyber Security Cloud Data Architect at GE Healthcare

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.

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Shubhamkumar Gomar

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.

Read full review

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917,181 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Construction Company

Outsourcing Company

Financial Services Firm

18%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	46
Midsize Enterprise	20
Large Enterprise	73

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	2
Large Enterprise	13

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 is your experience regarding pricing and costs for Dataiku Data Science Studio?

The licenses are a bit high for companies that are still hesitating to get started with using Dataiku. For my personal projects, I used the thirty-day free trial. Regarding my company, I did not ha...

What needs improvement with Dataiku Data Science Studio?

I have no suggestions for improvements because it's all good; it just sometimes lags a lot, and I don't know if the server is full or what, but it sometimes takes a lot of time while loading and re...

What is your primary use case for Dataiku Data Science Studio?

My main use case for Dataiku involves ETL pipelines, mainly for data analysis, and I majorly use SQL queries for that. For ETL pipelines and data analysis, I had to create the output by combining a...

Databricks vs Alteryx One

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Product Reports

Download Alteryx One product report

Alteryx One

October 2026

Download Dataiku product report

October 2026

Also Known As

Alteryx Designer Cloud, Alteryx Designer

Dataiku DSS

Overview

Alteryx enhances efficiency by automating data preparation and transformation through a user-friendly drag-and-drop interface, catering to non-technical users and business professionals. It supports data blending, predictive analytics, and diverse data integration capabilities.

Alteryx streamlines data manipulation and complex transformations, benefiting industries such as finance and marketing with its ability to connect to multiple data sources and automate workflows. The platform supports analytics and machine learning model building, reducing manual efforts in ETL processes. Despite its capabilities, improvements are needed in database connectivity, pricing flexibility, and cloud service integration. Users desire enhancements in reporting features, visualization, and technical support to optimize its full potential. Machine learning and predictive analytics features require advancements to improve user experience and broaden accessibility through better connectors and reduced licensing costs.

What are Alteryx's key features?

Data Preparation: Simplifies the process with no coding required, easing data handling.
Data Blending: Integrates multiple data sources seamlessly for comprehensive insights.
Predictive Analytics: Provides tools for building predictive models without extensive programming.
Scalability: Handles large datasets efficiently, accommodating business growth.
Integration Capabilities: Connects to a wide range of data sources for flexible analysis.

What benefits and ROI should be looked for in reviews?

Efficiency: Reduces manual effort through automation, saving time and resources.
Flexibility: Adapts to different data sources, allowing comprehensive data analysis.
User-friendly: Enhances accessibility for non-technical users with its intuitive interface.
Performance: Offers stable and reliable performance, ensuring quick data processing.
Business Insights: Facilitates informed decision-making with advanced analytical capabilities.

In finance and marketing, organizations leverage Alteryx to automate data tasks, connect diverse sources, and generate analytics models and dashboards efficiently. Its no-code approach aids in rapid data preparation, cleansing, and analysis, empowering business users to engage in predictive and prescriptive analytics effectively.

Alteryx

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto