KNIME Business Hub vs SAP KXEN [EOL] comparison

Knime and SAP are both solutions in the Data Mining category. Additionally, 94% of Knime users are willing to recommend the solution.

KNIME Business Hub

Read 60 KNIME Business Hub reviews

10,110 Views
1,517 Comparison Views

94% willing to recommend

SAP KXEN [EOL]

Read 3 SAP KXEN [EOL] reviews

0% willing to recommend

KNIME Business Hub

SAP KXEN [EOL]

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jul 27, 2025

SAP KXEN and KNIME Business Hub compete in the field of business analytics, with KNIME having an advantage due to its comprehensive feature set and perceived value.

Features: SAP KXEN offers data mining automation, predictive analytics, and a focus on core analytics. KNIME Business Hub provides robust data preparation, advanced machine learning capabilities, and extensive integrations with a variety of data sources.

Ease of Deployment and Customer Service: SAP KXEN offers streamlined deployment and dedicated support for quick start-up. KNIME Business Hub uses a modular deployment approach, promoting customization. Its support infrastructure accommodates diverse business needs with a focus on flexibility.

Pricing and ROI: SAP KXEN features a lower initial setup cost, making it cost-effective for straightforward needs. KNIME Business Hub, while potentially more expensive upfront, offers a higher ROI through extensive capabilities, allowing for expansive data insights and scalability.

To learn more, read our detailed Data Mining Report (Updated: July 2025).

Buyer's Guide

Data Mining

July 2025

Download the complete report

Helped 865,295 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:

Categories and Ranking

KNIME Business Hub

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Mining (1st), Data Science Platforms (2nd)

SAP KXEN [EOL]

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Has a drag-and-drop interface and AI capabilities

It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,

Read full review

it_user7368

Owner with 51-200 employees

Marketing Automation Beer Goggles: What I Think I Learned at Dreamforce

I’m writing this on my way home from Dreamforce, the Salesforce.com user conference that has become the primary industry gathering for marketing automation vendors. With a reported 90,000 attendees (I didn't count them personally), the show is fragmented into many different experiences. My own…

Read full review

See which vendors are best for you

Use our free recommendation engine to learn which Data Mining solutions are best for your needs.

See recommendations

865,295 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

10%

University

Computer Software Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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

Ask a question

Earn 20 points

Comparisons

Altair RapidMiner vs KNIME Business Hub

Compared 24% of the time

Dataiku vs KNIME Business Hub

Compared 13% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 12% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

Alteryx vs KNIME Business Hub

Compared 7% of the time

More KNIME Business Hub Competitors

No data available

Product Reports

Buyer's Guide

KNIME Business Hub

August 2025

Download KNIME Business Hub product report

Buyer's Guide

SAP KXEN [EOL]

July 2025

Download SAP KXEN [EOL] product report

Also Known As

KNIME Analytics Platform

KXEN

Overview

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

Predictive Analytics

SAP

Sample Customers

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

ASR Group, Citrix, State of Indiana, PocketCard Co. Ltd.

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: July 2025.

DOWNLOAD NOW

865,295 professionals have used our research since 2012.

See our list of best Data Mining vendors.

We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.