KNIME Customer Reviews 2026 | Machine Learning Platforms

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KNIME

Composite Score

7.8 /10

CX Score

8.0 /10

36 Reviews Write a Review

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What is KNIME?

KNIME offers a complete platform for end-to-end data science, from creating analytical models, to deploying them and sharing insights within the organization, through to data apps and services. The free and open source KNIME Analytics Platform allows users to easily build analyses with an intuitive, low-code/no-code interface. KNIME Business Hub enables users across different disciplines to collaborate and productionize analytical solutions created using KNIME Analytics Platform.

Company Details

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Awards & Recognition

KNIME won the following awards in the Machine Learning Platforms category

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4 Top Rated Capabilities

2 Top Rated Features

2024

2 Top Rated Capabilities

5 Top Rated Features

2023

2 Top Rated Capabilities

4 Top Rated Features

2022

KNIME Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on KNIME.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

85 Likeliness to Recommend

94 Plan to Renew

1
Since last award

78 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+88 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love KNIME?

2% Negative

4% Neutral

94% Positive

Pros

Inspires Innovation
Continually Improving Product
Trustworthy
Respectful

Feature Ratings

Average 80

Model Monitoring and Management

Feature Engineering

Model Training

Data Exploration and Visualization

Data Pre-Processing

Openness and Flexibility

Performance and Scalability

Model Tuning

Explainability

Data Ingestion

Ensembling

Vendor Capability Ratings

Average 76

Ease of Implementation

Breadth of Features

Ease of Customization

Ease of Data Integration

Business Value Created

Usability and Intuitiveness

Quality of Features

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support

KNIME Reviews

Juan Carlos M.

Role: Consultant
Industry: Engineering
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2022

"Producto fantástico!"

Likeliness to Recommend

10 /10

What differentiates KNIME from other similar products?

accesibilidad

What is your favorite aspect of this product?

facilidad en el aprendizaje.

What do you dislike most about this product?

opciones de visualización de datos

What recommendations would you give to someone considering this product?

estudiar y

Pros

Reliable
Enables Productivity
Trustworthy
Inspires Innovation

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Apr 2022

Great tool for starters

Likeliness to Recommend

6 /10

Pros

Helps Innovate
Continually Improving Product
Includes Product Enhancements
Enables Productivity

Cons

Less Generous
Wastes Time
Less Transparent

Role: Information Technology
Industry: Manufacturing
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Apr 2022

Highly capable, open source data science workbench

Likeliness to Recommend

10 /10

Pros

Respectful
Helps Innovate
Unique Features
Effective Service

Cons

Less Generous

KNIME

What is KNIME?

Company Details

Need Assistance?

Awards & Recognition

KNIME Ratings

85 Likeliness to Recommend

94 Plan to Renew

1 Since last award

78 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+88 Net Emotional Footprint

How much do users love KNIME?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Feature Engineering Ability to extract and build features from raw data.

Model Training Ability to train a model with a range of data sets that you provide.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Model Tuning Ability to fine-tune models based on monitoring feedback within the platform.

Explainability Ability to explain/ visualize the model.

Data Ingestion Ability to access data from various sources on-prem and in the cloud and of various type: structured, unstructured, and semi-structured, real-time, etc.

Ensembling 'Ability to combine ML models for best results.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

KNIME Reviews

Juan Carlos M.

"Producto fantástico!"

Likeliness to Recommend

Pros

Great tool for starters

Likeliness to Recommend

Pros

Cons

Highly capable, open source data science workbench

Likeliness to Recommend

Pros

Cons

Most Popular KNIME Comparisons

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Altair RapidMiner

1
Since last award

Feature Ratings

Model Monitoring and Management

Feature Engineering

Model Training

Data Exploration and Visualization

Data Pre-Processing

Openness and Flexibility

Performance and Scalability

Model Tuning

Explainability

Data Ingestion

Ensembling

Vendor Capability Ratings

Ease of Implementation

Breadth of Features

Ease of Customization

Ease of Data Integration

Business Value Created

Usability and Intuitiveness

Quality of Features

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support