KNIME Business Hub vs SAP Predictive Analytics comparison

Knime and SAP are both solutions in the Data Science Platforms category. Knime is ranked #3 with an average rating of 8.1, while SAP is ranked #27. Knime holds a 11.9% mindshare in Data Science Platforms, compared to SAP’s 0.5% mindshare. Additionally, 94% of Knime users are willing to recommend the solution, compared to 100% of SAP users who would recommend it.

KNIME Business Hub

Read 60 KNIME Business Hub reviews

9,194 Views
6,436 Comparison Views

94% willing to recommend

SAP Predictive Analytics

Read 3 SAP Predictive Analytics reviews

297 Views
288 Comparison Views

100% willing to recommend

KNIME Business Hub

SAP Predictive Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

KNIME Business Hub and SAP Predictive Analytics are competing products in analytics and business intelligence. SAP Predictive Analytics offers a broader range of features, making it preferable despite KNIME's attractive pricing and support.

Features: KNIME Business Hub offers customizable workflow automation, integration capabilities, and versatile data manipulation. SAP Predictive Analytics features advanced predictive modeling, machine learning algorithms, and robust predictive analytics.

Ease of Deployment and Customer Service: KNIME Business Hub provides straightforward deployment and responsive customer support, ensuring quick query resolution. SAP Predictive Analytics might require more complex deployment but provides comprehensive support documentation for detailed guidance.

Pricing and ROI: KNIME Business Hub's cost-effective setup offers substantial ROI for businesses focused on cost containment. SAP Predictive Analytics may have higher initial costs but delivers significant ROI through advanced features, justifying the investment for comprehensive analytics solutions.

To learn more, read our detailed KNIME Business Hub vs. SAP Predictive Analytics Report (Updated: September 2025).

Buyer's Guide

KNIME Business Hub vs. SAP Predictive Analytics

September 2025

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Helped 872,029 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

Ranking in Data Science Platforms

3rd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Mining (1st)

SAP Predictive Analytics

Ranking in Data Science Platforms

27th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Data Science Platforms category, the mindshare of KNIME Business Hub is 11.9%, up from 10.8% compared to the previous year. The mindshare of SAP Predictive Analytics is 0.5%, up from 0.4% 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	11.9%
SAP Predictive Analytics	0.5%
Other	87.6%

Data Science Platforms

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

Gary Cook

Executive at Empowered Analytics

Enables us to forecast and pull trends and has an easy installation

My rating for SAP Predictive Analytics would be an eight out of ten. If I have to be bold, I'll probably say that we're building away hours, and we are actually putting a lot of the actual predicting stuff back into the warehouse. So running it very bi-directionally. So I'm not sure what its integration features are at the moment, but that's an area we're going to look into in the next month or so.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."

"Stability is excellent. I would give it a nine out of ten."

"I was able to apply basic algorithms through just dragging and dropping."

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

"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."

"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."

"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."

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

More KNIME Business Hub pros

"The most valuable features are the analytics and reporting."

"I think the features of the actual ability to forecast and pull trends and correlations has been really good."

Cons

"The documentation needs a proper rework. "

"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."

"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."

"Compared to the other data tools on the market, the user interface can be improved."

"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."

"The ability to handle large amounts of data and performance in processing need to be improved."

"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."

"It could input more data acquisitions from other sources and it is difficult to combine with Python."

More KNIME Business Hub cons

"This solution works for acquired data but not live, real-time data."

Pricing and Cost Advice

"The client versions are mostly free, and we pay only for the KNIME server version. It's not a cheap solution."

"KNIME is a cheap product. I currently use KNIME's open-source version."

"At this time, I am using the free version of Knime."

"There is a Community Edition and paid versions available."

"KNIME is free and open source."

"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."

"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."

"The price of KNIME is quite reasonable and the designer tool can be used free of charge."

More KNIME Business Hub pricing and cost advice

"A free trial version is available for testing out this solution."

"The pricing is reasonable"

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

University

Manufacturing Company

Computer Software Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

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...

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Comparisons

Altair RapidMiner vs KNIME Business Hub

Compared 22% of the time

Dataiku vs KNIME Business Hub

Compared 13% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 10% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Alteryx vs KNIME Business Hub

Compared 7% of the time

More KNIME Business Hub Competitors

Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics

Compared 48% of the time

More SAP Predictive Analytics Competitors

Product Reports

Buyer's Guide

KNIME Business Hub

October 2025

Download KNIME Business Hub product report

Buyer's Guide

Data Science Platforms

October 2025

Download SAP Predictive Analytics product report

Also Known As

KNIME Analytics Platform

SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA

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

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

SAP

Sample Customers

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

mBank

Buyer's Guide

KNIME Business Hub vs. SAP Predictive Analytics

September 2025

Free Report: KNIME Business Hub vs. SAP Predictive Analytics

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