KNIME

KNIME Analytics Platform

Composite Score

7.8 /10

CX Score

8.0 /10

32 Reviews Write a Review

Claim Software

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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

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.

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 Likeliness to Recommend

1
Since last award

93 Plan to Renew

2
Since last award

80 Satisfaction of Cost Relative to Value

1
Since last award

{y}

{name}

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.

+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

Openness and Flexibility

Feature Engineering

Model Monitoring and Management

Explainability

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

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

Brandon H.

Role: Information Technology
Industry: Retail
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Apr 2022

Flexible and Adaptable. Free to get started

Likeliness to Recommend

10 /10

What differentiates KNIME Analytics Platform from other similar products?

open source; drag and drop no code development while also enabling custom development in other languages

What is your favorite aspect of this product?

no code development

What do you dislike most about this product?

no scheduler in the desktop version

What recommendations would you give to someone considering this product?

be open minded about using drag and drop for as long as the platform allows for custom development

Pros

Continually Improving Product
Trustworthy
Unique Features
Caring

Ivan C.

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

Validated Review

Verified Reviewer

Submitted Apr 2022

Easy to use, nice front end, but long execution.

Likeliness to Recommend

8 /10

What differentiates KNIME Analytics Platform from other similar products?

Unique frontend

What do you dislike most about this product?

There is a lot of roadblocks and the execution takes long time, probably because the front end takes such a long time to load

What recommendations would you give to someone considering this product?

Think of scalability and integration capability

Pros

Performance Enhancing
Inspires Innovation
Fair
Altruistic

Cons

Less Transparent
Charges for Enhancements
Vendor's Interest First

KNIME Analytics Platform

What is KNIME Analytics Platform?

Company Details

Need Assistance?

Awards & Recognition

KNIME Analytics Platform Ratings

86 Likeliness to Recommend

1 Since last award

93 Plan to Renew

2 Since last award

80 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

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.)

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.

Explainability Ability to explain/ visualize the model.

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

Himanshu M.

The most reliable Analytics tool for Businesses!

Likeliness to Recommend

Pros

Brandon H.

Flexible and Adaptable. Free to get started

Likeliness to Recommend

Pros

Ivan C.

Easy to use, nice front end, but long execution.

Likeliness to Recommend

Pros

Cons

Most Popular KNIME Analytics Platform Comparisons

Google Cloud Vertex AI

MathWorks MATLAB

AWS Machine Learning

Microsoft Azure Machine Learning

DataRobot AI Platform

Databricks Data Intelligence Platform

1
Since last award

2
Since last award

1
Since last award

Feature Ratings

Data Exploration and Visualization

Data Pre-Processing

Openness and Flexibility

Feature Engineering

Model Monitoring and Management

Explainability

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