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KNIME

KNIME Analytics Platform

7.7 /10

31 Reviews Write a Review

What is KNIME Analytics Platform?

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 Analytics Platform won the following awards in the Machine Learning Platforms category

Filter By

4 Top Rated Capabilities

2 Top Rated Features

Latest Award, 2024

2 Top Rated Capabilities

5 Top Rated Features

2023

2 Top Rated Capabilities

4 Top Rated Features

2022

KNIME Analytics Platform Ratings

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

85 Likeliness to Recommend

2
Since last award

93 Plan to Renew

2
Since last award

79 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+87 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 Analytics Platform?

2% Negative

0% Neutral

98% Positive

Pros

Inspires Innovation
Efficient Service
Helps Innovate
Acts with Integrity

Feature Ratings

Average 80

Data Exploration and Visualization

Data Pre-Processing

Explainability

Openness and Flexibility

Feature Engineering

Model Monitoring and Management

Model Training

Performance and Scalability

Data Ingestion

Algorithm Diversity

Ensembling

Vendor Capability Ratings

Average 77

Ease of Implementation

Breadth of Features

Business Value Created

Ease of Data Integration

Ease of Customization

Usability and Intuitiveness

Quality of Features

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support

KNIME Analytics Platform Reviews

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

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

Validated Review

Anonymous Reviewer

Submitted Apr 2022

Great product for chemical data processing.

Likeliness to Recommend

9 /10

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Trustworthy

Himanshu M.

Role: Sales Marketing
Industry: Education
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2022

The most reliable Analytics tool for Businesses!

Likeliness to Recommend

10 /10

What differentiates KNIME Analytics Platform from other similar products?

The best part about Knime is its intuitiveness and ease of operations for the most complex business problems. The entire experience is seamless and frictionless right from Data Ingestion to Pre-processing to model building and fine-tuning

What is your favorite aspect of this product?

My favorite aspect is the configuration window, which is so well laid out from an ease of navigation perspective and guides you beautifully in your model building journey.

What do you dislike most about this product?

Well, practically nothing!

What recommendations would you give to someone considering this product?

Please do use more of Knime's features, exploring the entire range of models and participate in user discussions to optimize your Knime experience.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

How We Deliver

KNIME Analytics Platform

What is KNIME Analytics Platform?

Company Details

Need Assistance?

Awards & Recognition

KNIME Analytics Platform Ratings

85 Likeliness to Recommend

2 Since last award

93 Plan to Renew

2 Since last award

79 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love KNIME Analytics Platform?

Pros

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

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.

Explainability Ability to explain/ visualize the model.

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

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

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

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

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

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.

Algorithm Diversity Provides multiple diverse ready-to-use machine learning algorithms out-of-the-box.

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.

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.

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

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.

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 Analytics Platform Reviews

Highly capable, open source data science workbench

Likeliness to Recommend

Pros

Cons

Great product for chemical data processing.

Likeliness to Recommend

Pros

Himanshu M.

The most reliable Analytics tool for Businesses!

Likeliness to Recommend

Pros

Most Popular KNIME Analytics Platform Comparisons

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Title

2
Since last award

2
Since last award

Feature Ratings

Data Exploration and Visualization

Data Pre-Processing

Explainability

Openness and Flexibility

Feature Engineering

Model Monitoring and Management

Model Training

Performance and Scalability

Data Ingestion

Algorithm Diversity

Ensembling

Vendor Capability Ratings

Ease of Implementation

Breadth of Features

Business Value Created

Ease of Data Integration

Ease of Customization

Usability and Intuitiveness

Quality of Features

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support