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KNIME

KNIME Analytics Platform

Composite Score

7.8 /10

CX Score

8.0 /10

32 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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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

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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

Agha A.

Role: Information Technology
Industry: Banking
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Oct 2024

Great experience during implementation

Likeliness to Recommend

8 /10

What differentiates KNIME Analytics Platform from other similar products?

Implementation

What is your favorite aspect of this product?

Data Integration

What do you dislike most about this product?

Data wrangling

What recommendations would you give to someone considering this product?

Vendor management should be more efficient

Pros

Over Delivered
Reliable
Trustworthy
Inspires Innovation

Cons

Less Friendly Negotiation
Inhibits Innovation
Less Generous

Mansi A.

Role: Consultant
Industry: Construction
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Oct 2024

Fantastic Product, all in one package!

Likeliness to Recommend

9 /10

What differentiates KNIME Analytics Platform from other similar products?

The active open-source community significantly enhances KNIME's value. By allowing users to develop and freely share nodes and components, KNIME’s functionality and capabilities are continually expanded.

What is your favorite aspect of this product?

The fact that KNIME provide open source user development sets it apart from other products in market. - KNIME's user-friendly interface enables non-technical users to perform data manipulation, visualization, and modeling. - No programming knowledge (Python/R) is required to build predictive models or recommendation systems. - Extensive function libraries are available, with community contributions adding custom functionalities. - The visual data flow simplifies understanding and interpretation. - KNIME supports the CRISP-DM methodology through its intuitive graphical interface. all of these are my favourites about KNIME

What do you dislike most about this product?

The user interface can be somewhat sluggish, and file sizes may become excessively large. Additionally, runtime and processing speed tend to be slow when integrating with other scripting languages.

What recommendations would you give to someone considering this product?

For those considering KNIME, it’s an excellent tool for non-programmers due to its intuitive, visual interface. You can easily perform data manipulation, visualization, and modeling without needing Python or R knowledge. KNIME's large function library, expanded by the community, adds significant flexibility. It connects seamlessly to SQL databases and allows for custom scripting when needed. However, be mindful that performance may slow down with large files or complex integrations.

Pros

Helps Innovate
Performance Enhancing
Trustworthy
Unique Features

Vaibhav W.

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

Validated Review

Verified Reviewer

Submitted Oct 2024

single platform for all data needs

Likeliness to Recommend

9 /10

What differentiates KNIME Analytics Platform from other similar products?

KNIME Analytics Platform stands out from other similar products because it is open-source, meaning it is free to use and can be customized. It uses a visual workflow approach, making it easy to create and modify data analytics workflows without coding.

What is your favorite aspect of this product?

It has a wide range of integrated tools for various data science tasks. It supports collaboration and sharing of workflows, and can be extended with custom nodes and plugins.

What do you dislike most about this product?

Initial learning curve is there which might take some time to get hands on.

What recommendations would you give to someone considering this product?

Definitely go for it product, Solves all your data needs at a single place.

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

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

Agha A.

Great experience during implementation

Likeliness to Recommend

Pros

Cons

Mansi A.

Fantastic Product, all in one package!

Likeliness to Recommend

Pros

Vaibhav W.

single platform for all data needs

Likeliness to Recommend

Pros

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Title

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