Dataiku vs KNIME Business Hub comparison

Dataiku and Knime are both solutions in the Data Science Platforms category. Dataiku is ranked #4 with an average rating of 8.0, while Knime is ranked #3 with an average rating of 8.0. Dataiku holds a 7.1% mindshare in Data Science Platforms, compared to Knime’s 7.5% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.

Dataiku

Read 17 Dataiku reviews

5,767 Views
5,652 Comparison Views

100% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,226 Views
5,923 Comparison Views

94% willing to recommend

Dataiku

KNIME Business Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

KNIME and Dataiku compete in the data analytics and machine learning platform category. KNIME appears to have the upper hand due to its versatility and cost-effectiveness.

Features: KNIME offers open-source benefits, a user-friendly drag-and-drop interface, and integration with Python and R, making it a versatile solution for data analytics. Dataiku distinguishes itself with robust machine learning capabilities and extensive data integration, along with AutoML tools for advanced analytics.

Room for Improvement: KNIME faces challenges with large datasets and lacks advanced visualization, while its documentation and web scraping capabilities need enhancement. Dataiku's main drawback is its high expense, which can be prohibitive for smaller teams, and its visualization features could be improved for easier integration.

Ease of Deployment and Customer Service: Both KNIME and Dataiku support flexible deployment options across on-premises and cloud environments. KNIME benefits from an active community and forum-based support, compensating for its open-source model. Dataiku provides extensive documentation and support, though its price can limit broader usage.

Pricing and ROI: KNIME's open-source model provides significant ROI by reducing licensing costs, offering a free desktop version. Its server version is cost-effective for enterprises. While Dataiku delivers strong ROI with comprehensive features, its high cost is better suited for large enterprises, making it less accessible for small businesses.

To learn more, read our detailed Dataiku vs. KNIME Business Hub Report (Updated: December 2025).

Buyer's Guide

Dataiku vs. KNIME Business Hub

December 2025

Download the complete report

Helped 881,733 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

5.4

Dataiku enhances efficiency, compliance, collaboration, and development speed, though financial benefits remain unclear without a pricing change.

Sentiment score

7.9

KNIME Business Hub offers high ROI with low costs, ease of use, straightforward licensing, and significant productivity gains for projects.

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

reviewer1525251

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

In terms of ROI, the use of Dataiku simplifies the architecture of customers, which helps them to decommission some of their existing tools;

Durgesh-Singh

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

For more quotes and insights, download the Dataiku report

No quotes available

For more quotes and insights, download the KNIME Business Hub report

Customer Service

Sentiment score

5.8

Dataiku's customer service is praised for responsiveness and expertise but criticized for inconsistency and slow issue resolution.

Sentiment score

6.8

KNIME Business Hub provides reliable support through a strong community, but time zone differences may impact official service speed.

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.

reviewer1525251

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

For more quotes and insights, download the Dataiku report

While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.

DanieleGentile

BI Analyst at a photography company with 11-50 employees

For more quotes and insights, download the KNIME Business Hub report

Scalability Issues

Sentiment score

6.2

Dataiku is scalable, integrates with cloud platforms, but some users find room for improvement and are concerned about licensing costs.

Sentiment score

6.9

KNIME Business Hub is scalable and manageable, suitable for enterprise use, with potential enhanced by cloud deployment and integrations.

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

For more quotes and insights, download the Dataiku report

No quotes available

For more quotes and insights, download the KNIME Business Hub report

Stability Issues

Sentiment score

7.0

Opinions on Dataiku's stability vary, with some reporting issues, while others find it stable under proper management.

Sentiment score

7.6

KNIME Business Hub is generally stable; issues arise with large datasets, but community support enhances reliability.

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

As for stability and reliability, so far so good; after the installation, I really had no problems.

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

For more quotes and insights, download the Dataiku report

No quotes available

For more quotes and insights, download the KNIME Business Hub report

Room For Improvement

Dataiku needs improvements in stability, usability, integration, cost-efficiency, and features for smaller teams and non-IT users.

KNIME Business Hub needs better integration, visualization, intuitive design, and connectivity with AI tools, plus improved documentation and training.

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

For graphics, the interface is a little confusing.

Ana Toftigues

Student at ISCTE - INSTITUTO UNIVERSITÁRIO DE LISBOA

The machine learning and profileration aspects are fascinating and align with my academic background in statistics.

DanieleGentile

BI Analyst at a photography company with 11-50 employees

For more quotes and insights, download the KNIME Business Hub report

Setup Cost

Dataiku's pricing ranges from €20 to €40 annually per key, seen as affordable or expensive depending on budgets.

KNIME Business Hub is free for small teams, but scaling to on-premises or server versions incurs additional costs.

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.

reviewer1525251

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

For more quotes and insights, download the Dataiku report

No quotes available

For more quotes and insights, download the KNIME Business Hub report

Valuable Features

Dataiku enhances workflows with visual tools, supports multiple languages, and integrates easily with cloud platforms for efficient data management.

KNIME Business Hub offers a user-friendly, no-code data analytics platform with extensive features, scalability, and strong community support.

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.

reviewer1525251

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

For more quotes and insights, download the Dataiku report

KNIME is more intuitive and easier to use, which is the principal advantage.

Ana Toftigues

Student at ISCTE - INSTITUTO UNIVERSITÁRIO DE LISBOA

KNIME is simple and allows for fast project development due to its reusability.

DanieleGentile

BI Analyst at a photography company with 11-50 employees

For more quotes and insights, download the KNIME Business Hub report

Categories and Ranking

Dataiku

Ranking in Data Science Platforms

4th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

KNIME Business Hub

Ranking in Data Science Platforms

3rd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Mining (1st)

Mindshare comparison

As of February 2026, in the Data Science Platforms category, the mindshare of Dataiku is 7.1%, down from 12.4% compared to the previous year. The mindshare of KNIME Business Hub is 7.5%, down from 11.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
KNIME Business Hub	7.5%
Dataiku	7.1%
Other	85.4%

Data Science Platforms

Featured Reviews

PriyankaSharma3

Cdao/Global Head Of Data And Analytics at Givaudan Roure

Unified platform has accelerated model development and improved collaborative data science work

I think Dataiku could be improved or enhanced in future releases with more 'talk to my data' capabilities, maybe more NLP features, and maybe a platform to build agents. These improvements would benefit me and my processes because they will help us to continue using Dataiku as one platform; right now we are exploring other platforms for the features which are missing, and if they are available within the same platform, I think it will increase the usage of Dataiku further. I think the pricing and licensing of Dataiku is a bit expensive; it could be improved further, and I think they should have a different kind of licensing model as well.

Read full review

DanieleGentile

BI Analyst at a photography company with 11-50 employees

Enables fast project development with efficient workflow modifications and promising features while offering modularity and reusability

KNIME is simple and allows for fast project development due to its reusability. I appreciate the ability to make improvements or modifications in existing workflows. Although I have not yet used the forecasting and customer profiling features, I find them promising. Another effective feature is the ability to use GET request objects to retrieve data from websites or APIs. This makes iterative steps easy to manage. It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

Manufacturing Company

Energy/Utilities Company

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	16
Large Enterprise	29

Questions from the Community

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.

See all answers

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 visualizations or to integrate a web app directly or in a simpler way as it is pos...

See all answers

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 where the objective is to predict the demand for each product for the next four mon...

See all answers

What do you like most about KNIME?

Since KNIME is a no-code platform, it is easy to work with.

See all answers

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.

See all answers

What needs improvement with KNIME?

I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...

See all answers

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Product Reports

Buyer's Guide

Dataiku

February 2026

Download Dataiku product report

Buyer's Guide

KNIME Business Hub

January 2026

Download KNIME Business Hub product report

Also Known As

Dataiku DSS

KNIME Analytics Platform

Overview

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.

Dataiku

KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.

KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.

What are the most important features of KNIME Business Hub?

No-Code Interface: Simplifies data preparation without coding expertise.
Node Library: Supports diverse data tasks, including ETL and machine learning.
Python and R Integration: Seamlessly connects with popular programming languages.
Automation Capabilities: Enhances workflow productivity.
Visual Workflow Tools: Offers efficient data handling with visual aids.

What benefits and ROI can users expect from KNIME Business Hub?

Increased Productivity: Streamlined data tasks reduce development time.
Community Support: Access to extensive resources and user assistance.
Cost-Effective: Robust performance even on standard hardware.
Accessible Learning Curve: Simplicity allows easy access for educational and professional use.
Enhanced Prototyping: Ideal for decision model testing.

KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.

Knime

Sample Customers

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

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG

Buyer's Guide

Dataiku vs. KNIME Business Hub

December 2025

Free Report: Dataiku vs. KNIME Business Hub

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