Dataiku vs KNIME Business Hub comparison

Why PeerSpot?

Dataiku and Knime are both solutions in the Data Science Platforms category. Dataiku is ranked #2 with an average rating of 8.3, while Knime is ranked #5 with an average rating of 8.5. Dataiku holds a 4.4% mindshare in Data Science Platforms, compared to Knime’s 4.1% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.

Dataiku

Read 21 Dataiku reviews

7,886 Views
7,728 Comparison Views

100% willing to recommend

KNIME Business Hub

Read 66 KNIME Business Hub reviews

9,750 Views
7,410 Comparison Views

94% willing to recommend

Dataiku

KNIME Business Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 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: September 2026).

Buyer's Guide

Dataiku vs. KNIME Business Hub

September 2026

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

4.9

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

Sentiment score

5.5

KNIME Business Hub enhances ROI through cost-effective data analysis, quick integration, transparent licensing, and improved productivity without increasing staff.

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

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

For more quotes and insights, download the Dataiku report

Definitely in terms of time reduction and the speed with which data is obtained and delivered to the more business-oriented team that then has to make decisions, these two factors are important indicators.

Filippo Elmino

Data Analyst at Politecnico di Milano

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

Customer Service

Sentiment score

5.3

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

Sentiment score

6.4

KNIME Business Hub offers fast community-based support, though official documentation and technical assistance are less comprehensive than competitors.

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

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.

reviewer1515237

Senior Consultant at a tech vendor with 10,001+ employees

I carefully examined KNIME Business Hub resources in terms of videos, tutorials, courses, and documentation, which are very comprehensive.

Filippo Elmino

Data Analyst at Politecnico di Milano

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

Scalability Issues

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

6.6

KNIME Business Hub is scalable for large datasets and users, adaptable for enterprise operations, and manageable for growth.

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

KNIME Business Hub scales quite well regarding data volume.

Filippo Elmino

Data Analyst at Politecnico di Milano

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

Stability Issues

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

KNIME Business Hub is stable and efficient for small data, but faces challenges with larger loads and occasional update issues.

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

For now, KNIME Business Hub is excellent for me and for our team.

NataliaRaffo

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.

reviewer1515237

Senior Consultant at a tech vendor with 10,001+ employees

KNIME Business Hub is stable with small connection issues with the company data system.

Filippo Elmino

Data Analyst at Politecnico di Milano

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

Room For Improvement

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

KNIME users want improved data visualization, documentation, interface, platform connectivity, training, pricing, and large dataset management.

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

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.

reviewer1515237

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.

NataliaRaffo

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.

AltanAtabarut1

Director, Channel And Alliances at Basefy

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

Setup Cost

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

KNIME Business Hub offers cost-effective analytics tools with open-source desktop access and valuable enterprise features for larger organizations.

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

KNIME Business Hub excels with its intuitive interface, robust analytics, and integration, enhancing data preparation and problem-solving.

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 Business Hub has had a positive impact on my organization by leading to time savings, as many activities were automated and reduced to a morning check, whether daily or weekly, to verify that all flows had run.

Filippo Elmino

Data Analyst at Politecnico di Milano

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

2nd

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

KNIME Business Hub

Ranking in Data Science Platforms

5th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Mining (1st)

Mindshare comparison

As of October 2026, in the Data Science Platforms category, the mindshare of Dataiku is 4.4%, down from 11.7% compared to the previous year. The mindshare of KNIME Business Hub is 4.1%, down from 11.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Dataiku	4.4%
KNIME Business Hub	4.1%
Other	91.5%

Data Science Platforms

Featured Reviews

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

Filippo Elmino

Data Analyst at Politecnico di Milano

Automation has transformed payroll reporting and empowers nontechnical teams to run data workflows

KNIME Business Hub could be improved by increasing integration between KNIME and other tools, such as where companies store data and data visualization tools, making it easier to integrate with these tools and faster to create dashboard updates and quick data extraction through KNIME. An ETL process must communicate with both data sources and the data visualization layer. The integration needs to be more robust, and the nodes that act as connectors to these sources and tools need to be more robust, as the flow often broke when the problem was just a connection issue. This should be improved and perhaps expanded. Another problem was that KNIME could not integrate with all tools. Expanding the possibilities of creating reports and connecting to data visualization tools, especially on the data visualization side, would be useful. The output of an ETL process or ETL flow is visualization through a dashboard or report, so more downstream integration in the process would be needed. Regarding improvements needed in KNIME Business Hub, there may be a hierarchy of users and certain applications created. On the security side of accessing company data, I do not know whether this is already sufficiently considered by KNIME or not. I hope so, because certain data are sensitive and need to be handled with care. The fact that KNIME is enabled to access such data means you also need to ensure that authorizations and data processing policies are respected. Because some company data are sensitive, the fact that KNIME reads them also requires guaranteeing that a policy is respected on the other side. I hope this has already been considered by KNIME Business Hub; I am not aware, but if it has not, this could be an aspect to consider: privacy and the protection of company data when they are read by a system that is not company-owned but still must read them with all proper requirements and safeguards.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

Financial Services Firm

11%

Manufacturing Company

University

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	22
Midsize Enterprise	16
Large Enterprise	35

Questions from the Community

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...

See all answers

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...

See all answers

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...

See all answers

What needs improvement with KNIME?

KNIME Business Hub could be improved by making the user experience more intuitive, especially for users who are new to data analytics. More guided features and documentation would be beneficial.

See all answers

What is your primary use case for KNIME?

I automated the processing of paper-based data by digitalizing scanned documents and creating a KNIME Business Hub workflow that transforms the data into an analysis-ready format, reducing a manual...

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What advice do you have for others considering KNIME?

My advice to others looking into using KNIME Business Hub would be to start experimenting. Do not be afraid of KNIME Business Hub, even if you do not have a strong programming background. Start wit...

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Product Reports

Buyer's Guide

Dataiku

October 2026

Download Dataiku product report

Buyer's Guide

KNIME Business Hub

September 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

September 2026

Free Report: Dataiku vs. KNIME Business Hub

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