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Alteryx vs Dataiku vs KNIME Business Hub 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:
 

ROI

Sentiment score
6.8
Alteryx offers quick ROI and efficiency, justifying costs with automation, despite some users noting high pricing concerns.
Sentiment score
4.9
Dataiku streamlines cross-functional projects for data scientists, enhancing compliance and suggesting a shift to consumption-based pricing.
Sentiment score
5.6
KNIME Business Hub offers excellent ROI with low costs, ease of use, and encourages cost-effective experimentation before full-scale implementation.
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.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
Chief Information Officer at granistr
The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
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.
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.
Data Scientist at a tech vendor with 51-200 employees
 

Customer Service

Sentiment score
7.1
Alteryx customer and technical support are responsive, well-regarded, with swift assistance and outstanding community solutions, despite occasional delays.
Sentiment score
5.3
Dataiku customer service offers quick responses and varying support experiences, with local partnerships aiding in industry-specific assistance.
Sentiment score
6.5
KNIME Business Hub offers efficient support through community forums and documentation but needs more diverse language options and resources.
Customer support from Alteryx has been amazing.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
I contacted customer support once or twice, and they were quick to respond.
Experience Technocrat driving IT initiatives at WISDOMBOWL
The customer service was not good because we weren't premium support users.
Senior Capacity Planner at a financial services firm with 10,001+ employees
Dataiku partners with local industry experts who understand the business better and provide support.
Data Science Lead at a mining and metals company with 10,001+ employees
The support team does not provide adequate assistance.
Cognitive Business Operation at a consultancy with 10,001+ employees
They should not take the complaints so lightly.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.
BI Analyst at a photography company with 11-50 employees
My mark for technical support for KNIME Business Hub is about a 7, as most of the support is in the community, and it is quite good because it is open source.
Senior Consultant at a tech vendor with 10,001+ employees
 

Scalability Issues

Sentiment score
7.2
Alteryx offers scalable integration for large data volumes, ideal for enterprises, though costs and infrastructure are potential challenges.
Sentiment score
5.8
Dataiku offers scalable solutions with cloud integration, supporting expansion and seamless team adaptation, despite minor performance concerns with large data.
Sentiment score
6.7
KNIME Business Hub is scalable with server setups but faces challenges on desktops with large datasets and requires add-ons.
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.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is scalable, and I would give it eight out of ten.
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.
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.
Solution Architect at a pharma/biotech company with 10,001+ employees
 

Stability Issues

Sentiment score
7.8
Alteryx is stable and reliable, efficiently handling large data with rare crashes, though server improvements are needed.
Sentiment score
6.9
Dataiku is stable for most users, though some experience issues with complex tasks, updates, and data quality variations.
Sentiment score
7.6
Users find KNIME Business Hub stable, rating it 7-10/10, though noting crashes with large data and improved stability post-version 4.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
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.
Legal Coordinator at a transportation company with 10,001+ employees
I have not noticed anything with the product itself, but with some of the connectors they have provided, there are some issues.
Development Lead at a energy/utilities company with 10,001+ employees
It would help if there was a backup proposition in place to avoid hampering our work due to updates.
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.
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.
Data Scientist at Ericsson
For now, KNIME Business Hub is excellent for me and for our team.
Co Founder & Chief Data Officer Cdo at NTT DATA
From 1 to 10, I would rate the stability of KNIME Business Hub quite good, around an 8 or 9.
Senior Consultant at a tech vendor with 10,001+ employees
 

Room For Improvement

Alteryx needs improvements in data visualization, pricing, integration, scalability, UI intuitiveness, and documentation for non-technical users.
Dataiku faces challenges like high cost, complex interface, and limited support, requiring improvements in integration, visualization, and documentation.
KNIME Business Hub needs enhanced performance, data visualization, integration, and user interface improvements to handle large datasets effectively.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
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.
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.
Senior Consultant at a consultancy with 201-500 employees
Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
The license is very expensive.
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.
Big Data Consultant at a computer software company with 1,001-5,000 employees
I would like to see additional functions in KNIME Business Hub that can connect to generative AI, allowing users to describe the workflow for easier workflow generation and creation.
Senior Consultant at a tech vendor with 10,001+ employees
When I import this data set in the File Reader node, I have problems with this field because it is a date, but the problem is that it imports it as text.
Co Founder & Chief Data Officer Cdo at NTT DATA
Computer vision is the most important because now there is a new age of large language models and visual language models.
Director, Channel And Alliances at Basefy
 

Setup Cost

Alteryx is feature-rich but expensive, impacting budgeting, especially for large-scale use, with its high licensing and support costs.
Dataiku's pricing is high and varies, with enterprise expense concerns, yet it's relatively affordable for large companies.
KNIME Business Hub provides a cost-effective open-source desktop version, with server pricing based on enterprise support needs.
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.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Software Engineer at a computer software company with 10,001+ employees
There are no extra expenses beyond the existing licensing cost.
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.
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.
Cognitive Business Operation at a consultancy with 10,001+ employees
 

Valuable Features

Alteryx enhances data processes with drag-and-drop usability, no-code features, and integrates seamlessly for improved decision-making and efficiency.
Dataiku offers intuitive tools for data preparation and integration, supporting collaboration, scalability, and efficiency for diverse teams.
KNIME Business Hub simplifies data tasks with an intuitive interface, supporting automation, seamless integrations, and extensive machine learning tools.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
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.
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.
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.
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.
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.
Cognitive Business Operation at a consultancy with 10,001+ employees
KNIME is more intuitive and easier to use, which is the principal advantage.
Student at ISCTE - INSTITUTO UNIVERSITÁRIO DE LISBOA
KNIME is simple and allows for fast project development due to its reusability.
BI Analyst at a photography company with 11-50 employees
It is very important that I have the workflow automation integrated with Python nodes.
Co Founder & Chief Data Officer Cdo at NTT DATA
 

Mindshare comparison

As of May 2026, in the Data Science Platforms category, the mindshare of Alteryx is 3.8%, down from 6.1% compared to the previous year. The mindshare of Dataiku is 5.6%, down from 12.8% compared to the previous year. The mindshare of KNIME Business Hub is 5.6%, down from 11.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Dataiku5.6%
KNIME Business Hub5.6%
Alteryx3.8%
Other85.0%
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.
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.
NataliaRaffo - PeerSpot reviewer
Co Founder & Chief Data Officer Cdo at NTT DATA
Workflow automation has accelerated advanced analytics and machine learning delivery
Sometimes it is a little bit difficult to use some nodes when we have many large-scale data, for example, CSV files with a large amount of data. It is sometimes difficult to try to import the data in KNIME Business Hub nodes because I think that some features that are in the CSV in text, for example, large text, is difficult for KNIME Business Hub to import these fields. I don't know why, but it is very difficult. We need to try to use different nodes for importing the data, such as File Reader and CSV Reader. However, I think that it is always the features that have much text, it is difficult for KNIME Business Hub to understand and import this information. I don't know why, or maybe I don't know if we don't know what the better option is to configure the node to import all the CSV or the data set. However, we have always had this problem. In some nodes, sometimes it is the same because sometimes, for example, I have a CSV and in my CSV, I have a feature that is, for example, a date. When I import this data set in the File Reader node, I have problems with this field because it is a date, but the problem is that it imports it as text, for example. We try to use their nodes that convert text to date, but sometimes it is difficult, and it is not immediate to transform the text into a date. So we needed to convert the text into a date in the CSV, and then import it again in the KNIME Business Hub node and try to have a good read of this field. I know that KNIME Business Hub has some nodes to convert text to date and others, but sometimes it is difficult to use these nodes. I don't know why. Maybe it needs a specific format for the date and we need to transform our feature in this option. So sometimes it is a large process to convert these features. However, sometimes we need to investigate and search for other nodes, and try with other nodes to import these cases.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
8%
Computer Software Company
7%
Retailer
5%
Financial Services Firm
19%
Manufacturing Company
9%
Computer Software Company
9%
Energy/Utilities Company
5%
Financial Services Firm
12%
Manufacturing Company
9%
University
8%
Educational Organization
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise16
Large Enterprise57
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise13
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise16
Large Enterprise32
 

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?
The licenses are a bit high for companies that are still hesitating to get started with using Dataiku. For my persona...
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 s...
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...
What is your experience regarding pricing and costs for KNIME?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
What needs improvement with KNIME?
I would describe KNIME Decision Hub as somewhat helpful in making data-driven decisions more efficient. It could have...
What is your primary use case for KNIME?
I mainly use KNIME Business Hub currently for data ETLs and then it meets with predictive analytics. Sometimes I util...
 

Also Known As

No data available
Dataiku DSS
KNIME Analytics Platform
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Find out what your peers are saying about Databricks, Dataiku, Knime and others in Data Science Platforms. Updated: May 2026.
896,298 professionals have used our research since 2012.