KNIME Analytics Platform Customer Reviews 2023

What is KNIME Analytics Platform?

At KNIME, we build software to create and productionize data science using one easy and intuitive environment, enabling every stakeholder in the data science process to focus on what they do best. One enterprise-grade software platform, two complementary tools. Open source KNIME Analytics Platform for creating data science and commercial KNIME Server for productionizing data science.

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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

Latest Award, 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

94 Plan to Renew

78 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+85 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 78

Data Ingestion

84

Data Exploration and Visualization

83

Data Pre-Processing

83

Model Training

82

Pre-Packaged AI/ML Services

80

Model Monitoring and Management

80

Data Labeling

78

Algorithm Diversity

78

Explainability

78

Openness and Flexibility

78

Feature Engineering

77

Vendor Capability Ratings

Average 77

Breadth of Features

86

Ease of Implementation

83

Quality of Features

81

Business Value Created

80

Ease of Customization

79

Usability and Intuitiveness

79

Ease of Data Integration

78

Ease of IT Administration

74

Availability and Quality of Training

74

Product Strategy and Rate of Improvement

69

Vendor Support

66

KNIME Analytics Platform Reviews

Palak C.

Role: Student or Academic
Industry: Chemicals
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Oct 2022

Best Product

Likeliness to Recommend

10 / 10

What differentiates KNIME Analytics Platform from other similar products?

It provides all features that one needs and also provides an overview of all features about how to use them (very user-friendly)

What is your favorite aspect of this product?

Best product for data visualization

What do you dislike most about this product?

I don't dislike anything about KNIME

What recommendations would you give to someone considering this product?

It is a best product for Data Analysis

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Trustworthy

Kourosh M.

Role: C Level
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2022

KNIME; visual Innovation

Likeliness to Recommend

9 / 10

What differentiates KNIME Analytics Platform from other similar products?

Visual Programming for Data Science

What do you dislike most about this product?

KNIME server complexity

What recommendations would you give to someone considering this product?

Speaking of now, it is the most capable one.

Pros

Enables Productivity
Helps Innovate
Continually Improving Product
Reliable

Cons

Vendor's Interest First

Priyadarshan G.

Role: C Level
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Apr 2022

Easy to onboard and scale. A worth try.

Likeliness to Recommend

8 / 10

What differentiates KNIME Analytics Platform from other similar products?

Pace of innovation and community

What is your favorite aspect of this product?

Quick to build and easy to understand

What do you dislike most about this product?

Too rigid, mostly configuration, less customisation

What recommendations would you give to someone considering this product?

Good to scale within the team and high reproducibility

Pros

Performance Enhancing
Enables Productivity
Saves Time
Continually Improving Product

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KNIME Analytics Platform

KNIME Analytics Platform

What is KNIME Analytics Platform?

Company Details

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Awards & Recognition

KNIME Analytics Platform Ratings

87 Likeliness to Recommend

94 Plan to Renew

78 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+85 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 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.

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

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

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

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

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

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.

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 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.

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

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently 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.

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

Palak C.

Best Product

Likeliness to Recommend

Pros

Kourosh M.

KNIME; visual Innovation

Likeliness to Recommend

Pros

Cons

Priyadarshan G.

Easy to onboard and scale. A worth try.

Likeliness to Recommend

Pros

Most Popular KNIME Analytics Platform Comparisons

MathWorks Matlab

Google Cloud Vertex AI

Alteryx

DataRobot AI Cloud

Dataiku

AWS Machine Learning

Feature Ratings

Data Ingestion

Data Exploration and Visualization

Data Pre-Processing

Model Training

Pre-Packaged AI/ML Services

Model Monitoring and Management

Data Labeling

Algorithm Diversity

Explainability

Openness and Flexibility

Feature Engineering

Vendor Capability Ratings

Breadth of Features

Ease of Implementation

Quality of Features

Business Value Created

Ease of Customization

Usability and Intuitiveness

Ease of Data Integration

Ease of IT Administration

Availability and Quality of Training

Product Strategy and Rate of Improvement

Vendor Support