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KNIME

KNIME Analytics Platform

7.4 /10

20 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

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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.

87 Likeliness to Recommend

95 Plan to Renew

79 Satisfaction of Cost Relative to Value

1
Since last award

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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?

5% Negative

0% Neutral

95% Positive

Pros

Helps Innovate
Inspires Innovation
Acts with Integrity
Enables Productivity

Feature Ratings

Average 79

Model Training

Data Ingestion

Data Exploration and Visualization

Data Pre-Processing

Openness and Flexibility

Algorithm Diversity

Model Monitoring and Management

Explainability

Pre-Packaged AI/ML Services

Ensembling

Data Labeling

Vendor Capability Ratings

Average 78

Breadth of Features

Ease of Implementation

Quality of Features

Business Value Created

Ease of Data Integration

Usability and Intuitiveness

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support

KNIME Analytics Platform Reviews

Nicole S.

Role: Consultant
Industry: Consulting
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2022

Free, easy to use: a real game changer!

Likeliness to Recommend

10 /10

What differentiates KNIME Analytics Platform from other similar products?

New nodes developed by community. Machine learning algorithms that require no coding, data visualization tools, application building features, integration with different coding languages (Python, JavaScript, R)

What is your favorite aspect of this product?

It's completely free and requires actually little or no coding skills at all

What do you dislike most about this product?

Sometimes it's hard to find the right node to use, for the same features an be found in native nodes and custom nodes. Too many names to remember can be a bit overwhelming

What recommendations would you give to someone considering this product?

Try it and there is no coming back. It's a must have in every data-oriented company and IT department

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Role: Information Technology
Industry: Biotechnology
Involvement: End User of Application

Validated Review

Anonymous Reviewer

Submitted Apr 2022

Great product for your pipelines' reproducibility

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Performance Enhancing
Enables Productivity

Latest Research

KNIME Analytics Platform

What is KNIME Analytics Platform?

Company Details

Need Assistance?

Awards & Recognition

KNIME Analytics Platform Ratings

87 Likeliness to Recommend

95 Plan to Renew

79 Satisfaction of Cost Relative to Value

1 Since last award

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

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

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.

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.)

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

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

Explainability Ability to explain/ visualize the model.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Ensembling 'Ability to combine ML models for best results.

Data Labeling Ability to annotate/ label data to create a training data set.

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

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 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.

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.

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.

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.

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.

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

Nicole S.

Free, easy to use: a real game changer!

Likeliness to Recommend

Pros

Great product for your pipelines' reproducibility

Likeliness to Recommend

Pros

Most Popular KNIME Analytics Platform Comparisons

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Title

1
Since last award

Feature Ratings

Model Training

Data Ingestion

Data Exploration and Visualization

Data Pre-Processing

Openness and Flexibility

Algorithm Diversity

Model Monitoring and Management

Explainability

Pre-Packaged AI/ML Services

Ensembling

Data Labeling

Vendor Capability Ratings

Breadth of Features

Ease of Implementation

Quality of Features

Business Value Created

Ease of Data Integration

Usability and Intuitiveness

Ease of Customization

Availability and Quality of Training

Ease of IT Administration

Product Strategy and Rate of Improvement

Vendor Support