KNIME

KNIME Analytics Platform

Composite Score

7.7 /10

CX Score

7.9 /10

34 Reviews Write a Review

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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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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 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.

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

1
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 87%
Negotiation and Contract:: 76%
Conflict Resolution:: 90%
Strategy & Innovation:: 89%
Service Experience:: 88%

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.

+86 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

4% Neutral

94% Positive

Pros

Inspires Innovation
Helps Innovate
Continually Improving Product
Trustworthy

Feature Ratings

Average 80

Data Pre-Processing

Model Monitoring and Management

Openness and Flexibility

Data Exploration and Visualization

Feature Engineering

Model Training

Explainability

Performance and Scalability

Data Ingestion

Algorithm Diversity

Model Tuning

Vendor Capability Ratings

Average 77

Ease of Implementation

Breadth of Features

Ease of Data Integration

Business Value Created

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

Yogesh T.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

Low code platform with great usability

Likeliness to Recommend

9 /10

What differentiates KNIME Analytics Platform from other similar products?

Best part is analysing data without writing too much code and easy to use for business analysts as well.

What is your favorite aspect of this product?

User friendly design and ease of use

What do you dislike most about this product?

It becomes slow if we install few extensions

What recommendations would you give to someone considering this product?

It’s good if you want to empower your team with learning data science and make data flows on their own without coding too much.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Kumar A.

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

Validated Review

Verified Reviewer

Submitted Mar 2024

Provides Great Ease of Use

Likeliness to Recommend

9 /10

What differentiates KNIME Analytics Platform from other similar products?

KNIME Analytics Platform stands out for its open-source nature, extensive modularity, and user-friendly visual workflow interface.

What is your favorite aspect of this product?

Mine favourite aspect of KNIME Analytics Platform is its flexibility, which allows users to seamlessly integrate various data sources and analytics techniques within a single platform.

What do you dislike most about this product?

I have no dislike

What recommendations would you give to someone considering this product?

Explore the extensive community resources and tutorials to leverage the full potential of KNIME Analytics Platform for your specific data analytics needs.

Pros

Helps Innovate
Unique Features
Efficient Service
Inspires Innovation

ALI S.

Role: Information Technology
Industry: Healthcare
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2024

A great data analytics tool

Likeliness to Recommend

9 /10

What differentiates KNIME Analytics Platform from other similar products?

Its user friendly for sure. Easy to train new people on. Flexible & scalable as per the environment.

What is your favorite aspect of this product?

Its flexibility and scalability

What do you dislike most about this product?

Nothing I can think of right now

What recommendations would you give to someone considering this product?

Understand if it is really going to solve any problems you have and then invest resources in it.

Pros

Reliable
Enables Productivity
Trustworthy
Efficient Service

Cons

Under Delivered
Less Friendly Negotiation

KNIME Analytics Platform

What is KNIME Analytics Platform?

Company Details

Need Assistance?

Awards & Recognition

KNIME Analytics Platform Ratings

85 Likeliness to Recommend

94 Plan to Renew

1 Since last award

78 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+86 Net Emotional Footprint

How much do users love KNIME Analytics Platform?

Chart

Pros

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

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

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

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

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

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.

Explainability Ability to explain/ visualize the model.

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.

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

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 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.

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

Yogesh T.

Low code platform with great usability

Likeliness to Recommend

Pros

Kumar A.

Provides Great Ease of Use

Likeliness to Recommend

Pros

ALI S.

A great data analytics tool

Likeliness to Recommend

Pros

Cons

Most Popular KNIME Analytics Platform Comparisons

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1
Since last award

1
Since last award

Feature Ratings

Data Pre-Processing

Model Monitoring and Management

Openness and Flexibility

Data Exploration and Visualization

Feature Engineering

Model Training

Explainability

Performance and Scalability

Data Ingestion

Algorithm Diversity

Model Tuning

Vendor Capability Ratings

Ease of Implementation

Breadth of Features

Ease of Data Integration

Business Value Created

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