KNIME Customer Reviews 2026 | Machine Learning Platforms

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KNIME

Composite Score

7.5 /10

CX Score

7.7 /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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0 Top Rated Capabilities

1 Top Rated Features

Latest Award, 2026

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

79 Satisfaction of Cost Relative to Value

1
Since last award

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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

Model Tuning

Openness and Flexibility

Performance and Scalability

Explainability

Data Ingestion

Ensembling

Vendor Capability Ratings

Average 76

Ease of Implementation

Ease of Customization

Breadth of Features

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

Dhruv S.

Role: Industry Specific Role
Industry: Electronics
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2024

Great for learning, try it today without a doubt

Likeliness to Recommend

9 /10

What differentiates KNIME from other similar products?

Since it's open-source great for students and low to mid-size organizations that don't know if the paid apps are worth the purchase and useful for the team. Before purchasing Alteryx we tried with KNIME and explored the opportunities a data analytical tool can provide. Secondly, its GUI is very attractive a bit overdo but good for beginners because it gives visual cues to understand the results.

What is your favorite aspect of this product?

It is free of course and it's still a powerful tool compared to its competitors and even some of the paid ones. We still run some of our workflows in KNIME even though we have Alteryx. Secondly, there are a variety of tools that are available in any other ETL tools a plus is for each tool we know if the workflow is successfully run or not so the feedback while running workflow is awesome.

What do you dislike most about this product?

Probably nothing, its the best free tool in the market.

What recommendations would you give to someone considering this product?

Don't wait try it today, also it offers workflow scheduling so there are no limits to what you can automate or calculate.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Shiva L.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Fantastic product

Likeliness to Recommend

8 /10

What differentiates KNIME from other similar products?

Cheaper than Alteryx

What is your favorite aspect of this product?

Ease of use. Availability of training courses.

What do you dislike most about this product?

Still it has to implement few nodes such as attaching an image while sending an email from a workflow.

What recommendations would you give to someone considering this product?

Still it has to implement few nodes such as attaching an image while sending an email from a workflow.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Raksha P.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Powerful and versatile tool for data science

Likeliness to Recommend

8 /10

What differentiates KNIME from other similar products?

KNIME analytics Platform stands out from other similar products for to it's open-source foundation, visual workflow interface, extensive node library, integration with external tools, and strong community support. It's a versatile platform suitable for various data science and analytics tasks, offering scalability, performance, and competitive pricing.

What is your favorite aspect of this product?

KNIME Analytics Platform stands out due to its open-source nature, visual workflow, extensive node library, and integration capabilities. It's suitable for various data science tasks, offers scalability, strong community support, and competitive pricing.

What do you dislike most about this product?

While KNIME offers many advantages, potential drawbacks include a steep learning curve, limited customization, performance limitations, dependency on the node library, and community-driven support.

What recommendations would you give to someone considering this product?

I can recommend that the KNIME should focus on enhancing onboarding, expanding customization, optimizing performance, expanding the node library, improving community support, integrating with more tools, and focusing on specific use cases

Pros

Performance Enhancing
Efficient Service
Saves Time
Fair

KNIME

What is KNIME?

Company Details

Need Assistance?

Awards & Recognition

KNIME Ratings

85 Likeliness to Recommend

94 Plan to Renew

79 Satisfaction of Cost Relative to Value

1 Since last award

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.

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

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.

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.

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.

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 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

Dhruv S.

Great for learning, try it today without a doubt

Likeliness to Recommend

Pros

Shiva L.

Fantastic product

Likeliness to Recommend

Pros

Raksha P.

Powerful and versatile tool for data science

Likeliness to Recommend

Pros

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1
Since last award

Feature Ratings

Model Monitoring and Management

Feature Engineering

Model Training

Data Exploration and Visualization

Data Pre-Processing

Model Tuning

Openness and Flexibility

Performance and Scalability

Explainability

Data Ingestion

Ensembling

Vendor Capability Ratings

Ease of Implementation

Ease of Customization

Breadth of Features

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