KNIME Analytics Platform 2026: Benefits, Features & Pricing

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Overview
Pricing and Plans
Features
Integrations
User Reviews

Overview

KNIME Analytics Platform

4.6

(25)

Pricing

Starting at €99.00 per month

About KNIME Analytics Platform

KNIME empowers all data users to build, collaborate, and upskill on data science. KNIME offers complete support across the data science life cycle, from creating analytical models to deploying them and sharing insights across the enterprise.

Users of KNIME tend to wear one of four hats:

Data experts can accelerate time to insight, collaborate with other disciplines, and empower upskilling across business functions. They can spend time where it matters because KNIME lets them:

Connect to any data, access any analytic technique, and the choice to code in any language
Get to insights faster using a low-code/no-code interface
Eliminate repetitive, manual work by creating reusable, automated workflows
Save and share Python scripts, analytical models, or data processes for reuse
Provide blueprints that non-experts can learn and upskill from independently
Speed up learning by accessing workflow samples by KNIME community members and experts
Validate models with performance metrics and carry out cross validation to guarantee model stability
Automatically document each step of the analysis visually
Maintain models and fix mistakes more easily with version control, debugg...

KNIME Analytics Platform Screenshots

KNIME Analytics Platform Pricing and Plans

Starting price: €99.00 per month

Free Trial

Free Version

KNIME Analytics Platform

€0.00

No plan information available

KNIME Community Hub Personal Plan

€0.00

No plan information available

KNIME Community Hub Team Plan

€99.00

per month

No plan information available

KNIME Business Hub

€35,000.00

per year

No plan information available

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KNIME Analytics Platform Features

Popular features found in Predictive Analytics
AI/Machine Learning
Data Blending
Data Discovery
Data Visualization
Forecasting
Modeling & Simulation
More features of KNIME Analytics Platform
Access Controls/Permissions
Ad hoc Query
Ad hoc Reporting
Alerts/Notifications
API
Auditing
Big Data Analytics
Business Rules Management
Collaboration Tools
Configurable Workflow
Customizable Branding
Customizable Reports
Customizable Templates
Dashboard
Dashboard Creation
Data Classification
Data Clustering
Data Connectors
Data Extraction
Data Import/Export
Data Management
Data Mapping
Data Mining
Data Preparation
Data Security
Data Synchronization
Data Transformation
Decision Support
Deep Learning
Demand Forecasting
Drag & Drop
For Education
For Healthcare
For Retail
Graphical Workflow Editor
Interactive Reports
Key Performance Indicators
ML Algorithm Library
Model Training
Multiple Data Sources
Natural Language Processing
No-Code
Performance Metrics
Predictive Analytics
Predictive Modeling
Process/Workflow Automation
Profitability Analysis
Publishing/Sharing
Reporting/Analytics
Reporting & Statistics
Role-Based Permissions
Search/Filter
Self Service Data Preparation
Tagging
Text Analysis
Third-Party Integrations
Time Series Analysis
Trend Analysis
Visual Analytics
Widgets
Workflow Management

KNIME Analytics Platform Integrations

Snowflake

Microsoft SharePoint

Microsoft SQL Server

ChatGPT

Cloudera Enterprise

Amazon Comprehend

See all 20 integrations

KNIME Analytics Platform User Reviews

Overall Rating

4.6

Ratings Breakdown

60%

40%

Secondary Ratings

Ease of Use

4.5

Value for money

4.7

Customer support

3.9

Functionality

4.4

Rochelle M.

Verified reviewer

Information Technology and Services

10000+ employees

Used daily for less than 12 months

Review source

Reviewed January 2023

Well created open source for data analysis!

Ratings Breakdown

Ease of use

Functionality

Pros:

One of the pros is of course doesn't require license fee. It is also an open source that can connect to Python and R that is capable of customization. Need to mention also the good community support.

Cons:

It took time to understand the functionalities and familiarize the user interface.

Reasons for switching to KNIME Analytics Platform

less of worth but same functionalities

Ferhat D.

Verified reviewer

Information Technology and Services

5001-10000 employees

Used daily for more than 2 years

Review source

Reviewed January 2020

Data Science 101 Platform for non-IT people

It was the tool I learned the Data Science in the first place. So it is really good and intuitive with its graphical interface. For example you understand train-test split very well because you literally see the split as you work on it. As I progressed and needed more functions and more custom solutions, I started using Python scripts and solved it like that. So it gave me all these abilities.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

- Its ease of use makes it possible for non-IT, non-developer, non-CS background people to make data manipulation, preprocessing, mining, visualization and modelling. - It has a graphical interface with nodes and connections so that you don't need to know Python/R to make predictive models or association rules/recommendation systems. - There's a vast library of functions - Even more functions are created by the community so non-existing customized functions are created by the community, via existing functions. - The visual flow of data makes it easy to understand and interpret it. - It teaches the CRISP-DM methodology in an intuitive way thanks to its graphical user interface - It can connect to SQL and similar servers so that the data can be read directly. - It is possible to write own Python/R script for custom needs.

Cons:

- Custom needs are hard to carry out. - Functions have limited abilities and parameters - Data visualization is weak and relatively primitive - Model development is easy but deployment is hard - It is very slow unfortunately and I think this is KNIME's most important drawback

Reasons for choosing KNIME Analytics Platform

Not only other options were very expensive and KNIME was free but also KNIME came with much more functionality, compared to other end-user packages.

Verified

Reviewer

Health, Wellness and Fitness

5001-10000 employees

Used weekly for less than 12 months

Review source

Reviewed May 2020

Solid Platform for Small Datasets and Broad Data Connectivity

The two main reasons we used KNIME were to process and prep data, then to conduct machine learning by training models and processing predictions. KNIME is great with data prep and blend as long as the data set is small to medium in size (< 4GB). There were areas where we struggled and that was when models were more complex (> 50 variables) and being able to deploy and schedule jobs. We had to download JDBC drivers for our database connections, which was not something we had to do with other platforms.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

There is a wide range of tools to process and prep data in the platform natively and additional tools that can be download within the platform. The ability to customize the settings for most of the tools allows the user to adjust the output. Even more technical settings, like hyperparameter tuning, can be done in the tool UI. There are numerous input and output options and types.

Cons:

Pulling in very basic files, like Excel spreadsheets can be a bit challenging where other platforms handle files with ease. Also, database connections are not seamless. The Java memory errors also limit the size of data that can be processed without making manual adjustments to settings. Lastly, not being a cloud-based platform, processing big data is very time-consuming.

Reasons for choosing KNIME Analytics Platform

In the end, we moved away from KNIME and chose Alteryx.

Verified

Reviewer

Higher Education

51-200 employees

Used daily for free trial

Review source

Reviewed September 2020

Great for all types of data scientists

I have had a very positive experience with KNIME and like it a lot more than other drag and drop machine learning tools I have tried out.

Ratings Breakdown

Ease of use

Value for money

Functionality

Pros:

Some drag and drop tools for machine learning are really limited, but KNIME is not. There are a ton of capabilities of the tool that are built in, and there are even more that are available online, like AutoML. It gives citizen data scientists the ability to create good models without knowing a programming language, and it increases the bandwidth of actual data scientists by allowing them to easily create more models and experiments.

Cons:

Of course, it is more limited than a programming language, and if you're familiar with building models programmatically, there is a learning curve that will slow you down and limit you at first.

Reasons for choosing KNIME Analytics Platform

The pricing model for KNIME was better for us, because the free version includes a lot more than the others, and right now, helping clients get started for free and easily is the most important part to us.

Sasha R.

Verified reviewer

Information Technology and Services

5001-10000 employees

Used weekly for less than 2 years

Review source

Reviewed January 2024

Using KNIME for reporting

Good and would recommend to non technical professionals as well

Ratings Breakdown

Ease of use

Functionality

Pros:

KNIME allowed me to pull data from large google sheets and manipulate them in a clear and easy way. The visual representation of each node makes it really easy to use and understand even for people without a background in data analytics. The KNIME website also provides a lot of resources on using the platform

Cons:

Very large google sheets containing a lot of data cannot always be extracted due to the size.

Meliksah T.

Verified reviewer

Consumer Electronics

5001-10000 employees

Used daily for more than 2 years

Review source

Reviewed July 2019

KNIME is very easy to learn and use for anybody

KNIME is a very good Data Analytics software overall. If the team can handle the slowness issue, it's great for both computer science associates and other employees.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

There are multiple features that is great about KNIME. - It has a visual UI that does not require programming knowledge, where you connect nodes by drag and dropping but still do not lose the flexibility of programming languages because it has Python, R and JavaScript nodes too where you can write your own code. - Since it's a visual UI that you work on, it's possible to track down what's going on, similar to an ETL tool. That's something that does not exist on programming. - Community continuously develops Nodes so its like an organism that grows.

Cons:

Its upsides come with downsides: - Since it's high level (so to speak in CS manner) software. It is far from computer language, and that makes it very slow. It gets even slower more nodes and extensions are installed which was again, an upside. - Nodes have customization and parameter management but they are not as customizable as Python/R libraries, though for that Python/R node can be used.

Santiago C.

Verified reviewer

Furniture

10000+ employees

Used daily for more than 2 years

Review source

Reviewed July 2021

A tool for citizen developers, from automation to data science

Ratings Breakdown

Ease of use

Value for money

Functionality

Pros:

The only tool that we were able to implement for non-technical user adoption. The easy drag and drop flow interface enables our coworkers to develop their own solutions. In terms of functionality it is a real Swiss knife for data processing: Extract information from excel, databases, ERPs, websites. Transform and create any desired output: automatic emails, excels, databases, reports. Python is still available for more advanced functionality.

Cons:

It is a big memory consuming program. By default tables are stored in memory and to fine-tweak that there's only an .ini file. Nodes that try to auto-guess column types often get it wrong with multiple files, there is a workaround that by creating a more complex workflow.

Filippo A.

Verified reviewer

Management Consulting

5001-10000 employees

Used weekly for less than 12 months

Review source

Reviewed January 2023

Machine Learning in Knime

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

It is like a game, once you have tried two or there times, every tools becomes very simple to use

Cons:

Sometimes tables are difficult to interpret but the help section provides useful tips

U¿ur Deniz Y.

Verified reviewer

Research

10000+ employees

Used weekly for less than 2 years

Review source

Reviewed August 2022

No need to write code

After installing the systems, I just press the "Run" button. A suitable environment to teach machine learning to a beginner.

Ratings Breakdown

Ease of use

Functionality

Pros:

I like Knime's metanodes the most. I use this feature often. I can add my Python scripts to the stream. Machine learning processes are easy, practical and successful. Knime's performance is fine. Instinctive.

Cons:

Python betikleri bazen sorunlu olabilir. Knime'da zaman aldığı için Python ile Data Preprocessing yapıyorum.

Ivan C.

Verified reviewer

Pharmaceuticals

10000+ employees

Used daily for less than 2 years

Review source

Reviewed March 2020

Visualized pipeline for Data Scientist

It is a good tool for small business owners, but it lacks the scalability for larger audiences.

Ratings Breakdown

Ease of use

Value for money

Customer support

Functionality

Pros:

It has a well built GUI for visualizing the pipeline for your data-driven applications, and it also comes with a KNIME Server for CRAN job application and deployment of your software

Cons:

The UI is a little laggy and files can get excessively large, run time and speed is also slow when integrating with other scripting languages.

Showing 1 - 10 of 25 Reviews

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