KNIME Business Hub vs TIBCO Data Science comparison

Knime and TIBCO are both solutions in the Data Science Platforms category. Knime is ranked #2 with an average rating of 8.1, while TIBCO is ranked #25. Knime holds a 11.9% mindshare in Data Science Platforms, compared to TIBCO’s 0.7% mindshare. Additionally, 94% of Knime users are willing to recommend the solution, compared to 100% of TIBCO users who would recommend it.

KNIME Business Hub

Read 60 KNIME Business Hub reviews

10,110 Views
7,077 Comparison Views

94% willing to recommend

TIBCO Data Science

Read 4 TIBCO Data Science reviews

383 Views
368 Comparison Views

100% willing to recommend

KNIME Business Hub

TIBCO Data Science

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

KNIME Business Hub and TIBCO Data Science compete in the advanced analytics solutions category. KNIME Business Hub has an upper hand in pricing and support satisfaction, while TIBCO Data Science offers superior analytics capabilities.

Features: KNIME Business Hub offers a comprehensive open-source platform with strong community support. Its modular design facilitates extensive customization options, and it integrates seamlessly with various databases, including SQL and Oracle. TIBCO Data Science provides advanced analytics and predictive modeling, rich algorithm sets, and robust enterprise application integration.

Room for Improvement: KNIME Business Hub could benefit from enhancing its predictive modeling tools and offering more professional-level support. Expanding its compatibility with more enterprise-level solutions could improve its standing. TIBCO Data Science could improve by enhancing ease of use, simplifying integration challenges, and reducing the complexity of its deployment model.

Ease of Deployment and Customer Service: KNIME Business Hub provides straightforward integration emphasizing community-driven support. It features an easy-to-use visual interface and workflow management. TIBCO Data Science offers a more sophisticated deployment process supported by comprehensive training and documentation, coupled with professional-grade support services that enhance enterprise confidence.

Pricing and ROI: KNIME Business Hub is cost-effective, providing high ROI by minimizing upfront costs thanks to its open-source nature. TIBCO Data Science entails a higher initial investment reflecting its advanced functionalities and enterprise integration, but offers significant return on investment for those seeking robust analytical capabilities.

To learn more, read our detailed KNIME Business Hub vs. TIBCO Data Science Report (Updated: July 2025).

Buyer's Guide

KNIME Business Hub vs. TIBCO Data Science

July 2025

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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:

Categories and Ranking

KNIME Business Hub

Ranking in Data Science Platforms

2nd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Mining (1st)

TIBCO Data Science

Ranking in Data Science Platforms

25th

Average Rating

7.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Science Platforms category, the mindshare of KNIME Business Hub is 11.9%, up from 10.5% compared to the previous year. The mindshare of TIBCO Data Science is 0.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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,

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Veeresh-SHRINGARI

Portfolio Manager, AI & ML at a healthcare company with 10,001+ employees

A straightforward initial setup and good reporting but needs better documentation

It would be ideal if it could be put onto the NMP where you can make more of an analysis. Right now, people don't have enough time to go through the report and make an analysis. It should provide the information of what is on the report into some kind of a dialogue form. Then, a person can ask certain questions and it could interactively give the required report. In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues. If you are doing certain operations of RDBMS, you suffer in terms of the latency of the data. That can be improved upon. Users should be able to cross tables of the web pages they are developing on Spotfire and this needs to be really easy and convenient. Right now, you need to do a lot of tweaks. The solution should be more user-friendly and require fewer tweaks, extensions, and workarounds.

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Quotes from Members

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

Pros

"The solution is very easy to use"

"From a user-friendliness perspective, it's a great tool."

"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."

"It can handle an unlimited amount of data, which is the advantage of using Knime."

"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."

"Easy to use, stable, and powerful."

"The most valuable feature is the data wrangling, which is what I mainly use it for."

"We have found KNIME valuable when it comes to its visualization."

More KNIME Business Hub pros

"The idea that you don't have to generate reports each day but they are sent automatically is great."

"The most valuable feature is the performance."

"We like the way we can drill down into each report to get back data on each project. From the portfolio level, I can see what is happening on it. That is a really important feature. I can look at indirect costs, for example, which are hitting each CIO portfolio. It's good to be able to see actual resources in terms of time as well as cost."

"The most valuable feature is the ease of setting up visualizations."

Cons

"The predefined workflows could use a bit of improvement."

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

"From the point of view of the interface, they can do a little bit better."

"If they had a more structured training model it would be very helpful."

"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."

"The graphic features of KNIME need improvement"

"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."

"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."

More KNIME Business Hub cons

"The scripting for customization could be improved."

"I would like the visualization for the map of countries to be more easily configurable."

"Additional templates would help to get things moving more quickly in terms of getting the reports out."

"In terms of performance, I can see there are some issues when you are working with big data. When we are taking it from the Data Lake, we have a lot of issues."

Pricing and Cost Advice

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

"KNIME Business Hub is expensive for small companies."

"They have different versions, but I am using the open-source one."

"KNIME is free and open source."

"We're using the free academic license just locally. I went for KNIME because they have a free academic license."

"KNIME offers a free version"

"I use the open-source version."

"KNIME is an open-source tool, so it's free to use."

More KNIME Business Hub pricing and cost advice

Information not available

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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.

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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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Compared 8% of the time

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Compared 28% of the time

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SAS Enterprise Miner vs TIBCO Data Science

Compared 18% of the time

Dataiku vs TIBCO Data Science

Compared 18% of the time

Amazon SageMaker vs TIBCO Data Science

Compared 16% of the time

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Product Reports

Buyer's Guide

KNIME Business Hub

August 2025

Download KNIME Business Hub product report

Buyer's Guide

Data Science Platforms

August 2025

Download TIBCO Data Science product report

Also Known As

KNIME Analytics Platform

Alpine Data Chorus

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

TIBCO Spotfire Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.

TIBCO

Sample Customers

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

Havas Media, Tipping Point Community, eviCore

Buyer's Guide

KNIME Business Hub vs. TIBCO Data Science

July 2025

Free Report: KNIME Business Hub vs. TIBCO Data Science

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