Dataiku vs KNIME Business Hub comparison

Dataiku and Knime are both solutions in the Data Science Platforms category. Dataiku is ranked #6 with an average rating of 8.2, while Knime is ranked #3 with an average rating of 8.0. Dataiku holds a 9.3% mindshare in Data Science Platforms, compared to Knime’s 10.1% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.

Dataiku

Read 14 Dataiku reviews

5,570 Views
5,459 Comparison Views

100% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,307 Views
5,898 Comparison Views

94% willing to recommend

Dataiku

KNIME Business Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Nov 2, 2025

In the realm of data analytics platforms, KNIME Business Hub and Dataiku compete by offering diverse solutions for data mining and machine learning. KNIME appears to have an upper hand with its open-source advantage and cost-effectiveness, appealing to budget-conscious users.

Features: KNIME Business Hub offers comprehensive data mining, ETL processes, and seamless integration with R, Python, and Java. It stands out for its visual workflows and machine learning capabilities. Dataiku integrates effectively with BigQuery and features visual data preparation tools, automation capabilities, and Spark utilization, catering to enterprises requiring scalability.

Room for Improvement: KNIME needs better handling of large datasets and improved data visualization. Its documentation requires enhancements for easier user adoption. Dataiku needs more integration capabilities for customized workflows, deeper learning functionalities, and better collaboration tools. Its pricing model can also limit team adoption.

Ease of Deployment and Customer Service: KNIME Business Hub allows extensive deployment options, mainly on-premises, with support largely driven by its community. Dataiku provides a hybrid cloud deployment model with professional but costly customer support, aligning with enterprise expectations.

Pricing and ROI: KNIME’s open-source platform offers a cost-effective solution with a free version and affordable server options, enhancing ROI for small teams. Dataiku’s higher pricing suits large enterprises with sufficient budgets, offering robust capabilities but limiting accessibility for smaller organizations.

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

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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

6.4

Dataiku's ROI is debated, with benefits in compliance and architecture but concerns over pricing and complex resource management.

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

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

6.9

Dataiku's customer service is efficient and responsive, with most users satisfied despite occasional assistance and billing concerns.

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

As a partner with Dataiku, my experience with them is good; they are supportive, and when we contact them, we receive a quick response.

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

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

6.7

Dataiku is recognized for scalability, effectively used across organizations with some performance concerns and integration benefits.

Sentiment score

6.9

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

No quotes available

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

6.6

Some users find Dataiku stable, while others report issues; stability often depends on resource management and data quality.

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

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 improved server stability, user interface, pricing, and integration with tools, supporting non-IT users and diverse data.

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

It is not a very cost-effective solution, I must say, though it is good for developing purposes only.

Ravi-Srivastava

Data Scientist at Ericsson

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 is considered costly yet competitive, benefiting larger enterprises over smaller businesses due to non-consumption-based fees.

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

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

reviewer1525251

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

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

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 offers an intuitive interface with robust tools for data preparation, collaboration, automation, and cloud integration, ideal for data science.

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

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

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

For more quotes and insights, download the Dataiku report

It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

DanieleGentile

BI Analyst at a photography company with 11-50 employees

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

Ana Toftigues

Student at ISCTE - INSTITUTO UNIVERSITÁRIO DE LISBOA

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

Categories and Ranking

Dataiku

Ranking in Data Science Platforms

6th

Average Rating

8.2

Reviews Sentiment

7.1

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 December 2025, in the Data Science Platforms category, the mindshare of Dataiku is 9.3%, down from 11.7% compared to the previous year. The mindshare of KNIME Business Hub is 10.1%, down from 11.1% 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	10.1%
Dataiku	9.3%
Other	80.6%

Data Science Platforms

Featured Reviews

Durgesh-Singh

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

Unified data projects have accelerated development and simplified architecture for higher ROI

I do not see anything that I would improve or enhance in Dataiku at this time; overall, it is a good tool to incorporate and to suggest to customers. Currently, I do not see anything specific that I would include or any functionality that requires enhancement. Dataiku gives the complete picture of the AI universe, and we have not faced any glitches, so I do not have recommendations or suggestions for improvement. All products have room for improvement, and I would like to see their pricing simplified, as it is somewhat complex. In terms of documentation, there is substantial documentation available. Customer support is good, the product is scalable, and it provides flexibility to develop. Someone who needs to do coding can do it, and someone who does not know coding can also build solutions, but the pricing is complex, which I believe should be improved.

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%

Manufacturing Company

Computer Software Company

Energy/Utilities Company

Financial Services Firm

11%

Manufacturing Company

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	8

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 find the pricing of Dataiku quite affordable for our customers, as they are usually large companies. However, it is a pricey solution and I primarily recommend it to bigger companies.

See all answers

What needs improvement with Dataiku Data Science Studio?

In terms of enhancing collaboration within my team, I would not say Dataiku is the best one because it's so expensive. We are not able to provide it to everyone. There are very few people who have ...

See all answers

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

My main use cases in Dataiku include ensuring a strong data pipeline ingestion. We have people from data management, so we need to take care of the pipeline, their data quality, data drifting, all ...

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

December 2025

Download Dataiku product report

Buyer's Guide

KNIME Business Hub

December 2025

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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