KNIME Business Hub vs Microsoft Power BI comparison

The compared Knime and Microsoft solutions aren't in the same category. Knime is ranked #1 in DM , with an average rating of 8.0, and holds a 13.5% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 8.0, and holds a 8.9% mindshare. Additionally, 94% of Knime users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,226 Views
1,234 Comparison Views

94% willing to recommend

Microsoft Power BI

Read 328 Microsoft Power BI reviews

23,151 Views
14,585 Comparison Views

93% willing to recommend

KNIME Business Hub

Microsoft Power BI

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Feb 8, 2026

Microsoft Power BI and KNIME Business Hub compete in the business intelligence and data analytics category. Power BI has the upper hand in deployment flexibility and ease of integration, while KNIME excels in advanced analytics and data science capabilities.

Features: Power BI provides easy access to reporting and automation with strong integration features and cross-platform compatibility. It offers interactive visualizations, customizable dashboards, and seamless connectivity with Office 365 and SQL Server. KNIME focuses on data science and machine learning functionalities, allowing users to create workflows for complex data analytics. It offers abundant extensions and integration with languages like R and Python, as well as a user-friendly drag-and-drop interface.

Room for Improvement: Power BI could improve its large dataset performance and reduce dependency on Microsoft products. Licensing costs for premium features can be prohibitive. It also lacks some advanced analytical tools. KNIME could enhance its data visualization capabilities and documentation. Performance with large datasets could also be improved.

Ease of Deployment and Customer Service: Power BI supports various deployment models including public, private, and hybrid cloud. Customer service varies, relying significantly on community support. KNIME is primarily on-premises but supports cloud deployment as well. User satisfaction with KNIME’s support is generally high, aided by robust documentation and community resources.

Pricing and ROI: Power BI offers a range of pricing options, hereof scalable solutions from free to premium. However, advanced features can be costly. KNIME provides robust features for free in its desktop version, with additional enterprise functionalities available in the paid server version, making it a cost-effective option for data analytics.

To learn more, read our detailed Data Mining Report (Updated: February 2026).

Buyer's Guide

Data Mining

February 2026

Download the complete report

Helped 882,606 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:

ROI

Sentiment score

7.9

KNIME Business Hub offers high ROI with low costs, ease of use, straightforward licensing, and significant productivity gains for projects.

Sentiment score

6.7

Microsoft Power BI offers rapid cost savings, improved reporting, ease of use, scalability, and boosts data-driven decisions and revenue.

No quotes available

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

In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.

Michael Ostfeld

Corporate HR Financial Controller at STMicroelectronics Holding

Power BI is easy to deploy within an hour, providing robust security against data leaks.

Shoury Priyanshu

Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd

For more quotes and insights, download the Microsoft Power BI report

Customer Service

Sentiment score

6.8

KNIME Business Hub provides reliable support through a strong community, but time zone differences may impact official service speed.

Sentiment score

6.6

Microsoft Power BI users appreciate responsive service and online resources but seek faster, more expert support for complex issues.

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

The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.

Michael Ostfeld

Corporate HR Financial Controller at STMicroelectronics Holding

We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.

James Balbach

Executive Director, Decision Support at Community Health Network

The support is good because there is also a community available.

MohammedHamad

Business Development Director at a tech consulting company with 201-500 employees

For more quotes and insights, download the Microsoft Power BI report

Scalability Issues

Sentiment score

6.9

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

Sentiment score

6.9

Microsoft Power BI offers scalable performance but may require higher tiers and vertical scaling for large datasets, ensuring integration with Microsoft products.

No quotes available

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

You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.

Shoury Priyanshu

Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd

With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.

James Balbach

Executive Director, Decision Support at Community Health Network

As more data is processed, performance issues may arise.

Raymond De Rooij

Product Owner at ABN AMRO Bank N.V.

For more quotes and insights, download the Microsoft Power BI report

Stability Issues

Sentiment score

7.6

KNIME Business Hub is generally stable; issues arise with large datasets, but community support enhances reliability.

Sentiment score

7.4

Microsoft Power BI is reliable with real-time capabilities, but large datasets can cause performance issues and occasional slowness.

No quotes available

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

In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.

Shoury Priyanshu

Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd

We typically do not have problems with end-user tools like Excel and Power BI.

James Balbach

Executive Director, Decision Support at Community Health Network

It is very stable for small data, but with big data, there are performance challenges.

MohammedHamad

Business Development Director at a tech consulting company with 201-500 employees

For more quotes and insights, download the Microsoft Power BI report

Room For Improvement

KNIME Business Hub needs better integration, visualization, intuitive design, and connectivity with AI tools, plus improved documentation and training.

Microsoft Power BI struggles with performance, integration, user interface, customization, licensing, and frequent updates, needing enhanced analytics capabilities.

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

This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.

Shoury Priyanshu

Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd

Access was more logical in how it distinguished between data and its formatting.

Michael Ostfeld

Corporate HR Financial Controller at STMicroelectronics Holding

Microsoft updates Power BI monthly based on user community feedback.

James Balbach

Executive Director, Decision Support at Community Health Network

For more quotes and insights, download the Microsoft Power BI report

Setup Cost

KNIME Business Hub is free for small teams, but scaling to on-premises or server versions incurs additional costs.

Enterprise buyers appreciate Microsoft Power BI's competitive pricing and flexibility, with cost-effective options and integration with Office 365.

No quotes available

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

I found the setup cost to be expensive

Sebastien TOUSSAINT

Responsable du département Projets et Applications at CHD Vendée

Power BI isn't very cheap, however, it is economical compared to other solutions available.

Shoury Priyanshu

Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd

The pricing for Microsoft Power BI is low, which is a good selling point.

MohammedHamad

Business Development Director at a tech consulting company with 201-500 employees

For more quotes and insights, download the Microsoft Power BI report

Valuable Features

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

Microsoft Power BI excels in data integration, visualization, and collaboration, offering user-friendly features and scalability for business needs.

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

In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.

Michael Ostfeld

Corporate HR Financial Controller at STMicroelectronics Holding

Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.

Raymond De Rooij

Product Owner at ABN AMRO Bank N.V.

To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.

Shrikrishna Kashid

Senior Technical Service Engineer Expert at Fujitsu

For more quotes and insights, download the Microsoft Power BI report

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 (3rd)

Microsoft Power BI

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

328

Ranking in other categories

BI (Business Intelligence) Tools (1st), Reporting (1st)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. KNIME Business Hub is designed for Data Mining and holds a mindshare of 13.5%, down 24.9% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 8.9% mindshare, down 21.4% since last year.

Data Mining Market Share Distribution
Product	Market Share (%)
KNIME Business Hub	13.5%
IBM SPSS Modeler	19.1%
IBM SPSS Statistics	18.5%
Other	48.9%

Data Mining

BI (Business Intelligence) Tools Market Share Distribution
Product	Market Share (%)
Microsoft Power BI	8.9%
Tableau Enterprise	6.2%
Amazon QuickSight	3.7%
Other	81.2%

BI (Business Intelligence) Tools

Featured Reviews

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

Antonio Flor

Lead Anaplanner at Chaucer Group

Data integration has improved reserving and expense control while collaboration drives fast dashboards

Regarding drawbacks or weak points in Microsoft Power BI, it may not be directly related to the tool itself, but with our architecture, as we couldn't get a service account, which is an email address that has no relationship with the employees, just to establish the connection with Anaplan. We couldn't get it to work on SSO, so we use an employee account which could be a point of weakness, meaning if the person leaves, that connection will break. If the person goes on holiday and we need to refresh, we have to change the connection as well, but we have to live with that since we're not using SSO on the service account. Regarding the natural language processing feature, we're trying to avoid using it too much because it can slow down the connection, so as much as possible, we try to build the logic and any transformation in Anaplan, and then deliver an end product to Microsoft Power BI.

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

882,606 professionals have used our research since 2012.

Comparison Review

it_user79932

Senior Manager - BI Head with 5,001-10,000 employees

Feb 4, 2015

Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho

1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

Financial Services Firm

12%

Manufacturing Company

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	135
Midsize Enterprise	58
Large Enterprise	165

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

Seeking lightweight open source BI software

There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...

See all answers

Is Power BI a complete platform or only a visualization tool?

Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance po...

See all answers

How does Oracle OBIEE compare with Microsoft BI?

Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle ...

See all answers

Comparisons

Altair RapidMiner vs KNIME Business Hub

Compared 14% of the time

Dataiku vs KNIME Business Hub

Compared 11% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 9% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

Databricks vs KNIME Business Hub

Compared 6% of the time

More KNIME Business Hub Competitors

Amazon QuickSight vs Microsoft Power BI

Compared 16% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 15% of the time

Domo vs Microsoft Power BI

Compared 8% of the time

Databricks vs Microsoft Power BI

Compared 3% of the time

Oracle OBIEE vs Microsoft Power BI

Compared 2% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

KNIME Business Hub

February 2026

Download KNIME Business Hub product report

Buyer's Guide

Microsoft Power BI

February 2026

Download Microsoft Power BI product report

Also Known As

KNIME Analytics Platform

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI

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

Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.

Microsoft

Sample Customers

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

Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: February 2026.

DOWNLOAD NOW

882,606 professionals have used our research since 2012.

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.