# KNIME Analytics Platform Software Pricing, Alternatives & More 2026 | Capterra

> With the help of Capterra, learn about KNIME Analytics Platform Software - reviews, pricing plans, popular comparisons to other Predictive Analytics products and more.

Source: https://www.capterra.com/p/158739/KNIME-Analytics-Platform

---

# 

 KNIME Analytics Platform Software Review 2026: Features, Integrations, Pros & Cons

Last updated on March 13, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

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[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews)

KNIME Analytics Platform

## 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.

## What is KNIME Analytics Platform used for?

[Predictive Analytics](https://www.capterra.com/predictive-analytics-software/)[Business Intelligence](https://www.capterra.com/business-intelligence-software/)[Machine Learning](https://www.capterra.com/machine-learning-software/)

Top alternative

Featured

Overall rating

Based on 25 user reviews

Reviews sentiment

Positive

100%

Neutral

0%

Negative

0%

Starting price

€99

Per Month

Free trial  
not available

Capterra Shortlist charts the highest-rated and most popular products...

Our "Best of" badge program showcases products with the highest ratings...

Our "Best of" badge program showcases products with the highest ratings...

Do you work for KNIME Analytics Platform?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=http://www.knime.org&name=KNIME Analytics Platform)

## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### KNIME Analytics Platform

4.6 (25)

VS.

[4.3 (330)](https://www.capterra.com/p/119119/Domo/reviews/)

Starting Price

€99

per user, per month

Starting Price

Contact vendor

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.5 (25)

Ease Of Use

4.1 (1)

Value For Money

4.7 (18)

Value For Money

4.0 (0)

Customer Service

3.9 (15)

Customer Service

4.0 (0)

## KNIME Analytics Platform alternatives

[4.7 (15)](https://www.capterra.com/p/178411/Inzata/reviews/)

Starting price

$30000.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[4.5 (26)](https://www.capterra.com/p/162524/DataTap/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

96%

of reviewers

rated it above 4 stars

[4.5 (388)](https://www.capterra.com/p/109731/Minitab-Statistical-Software/reviews/)

Starting price

$1851.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

93%

of reviewers

rated it above 4 stars

Highest Rated

[OpenText Analytics Cloud](https://www.capterra.com/p/177019/OpenText-Analytics-Suite/)

[5.0 (1)](https://www.capterra.com/p/177019/OpenText-Analytics-Suite/#reviews)

Starting price

$0.01

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/177019/OpenText-Analytics-Suite/)

[View all alternatives](https://www.capterra.com/p/158739/KNIME-Analytics-Platform/alternatives/)

## Features

Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically.

Data Discovery

4.7 (3)

66.67% of 3 reviewers that rated this feature as important or highly important

Discover and connect variety of data sources to the application for analysis

Data Extraction

3.7 (3)

100.00% of 3 reviewers that rated this feature as important or highly important

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Modeling & Simulation

4.3 (3)

66.67% of 3 reviewers that rated this feature as important or highly important

Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making

Reporting/Analytics

4.7 (3)

66.67% of 3 reviewers that rated this feature as important or highly important

View and track pertinent metrics to find patterns and gain insights from data

Workflow Management

5.0 (3)

33.33% of 3 reviewers that rated this feature as important or highly important

Create, design and manage workflows for repetitive tasks

AI/Machine Learning

4.5 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Software program that continuously adjusts its behavior based on observed data

KNIME Analytics Platform 67 features

Define levels of authorization for access to specific files or systems

One-off queries made on an as-needed basis

Generate one-off reports that meet information requirements

Software program that continuously adjusts its behavior based on observed data

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Application programming interface that allows for integration with other systems/databases

Examine established processes and records to ensure accuracy, compliance, and policy adherence

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

Define and maintain business rules that determine workflow capabilities and criteria

Provides a channel for team members to share media files, communicate, and work together

Configure existing workflows to meet your organization's needs

Add customized logos and colors to align with company branding

Alter the layout and content of reports

Pre-designed layouts that can be customized to match preferences and requirements

Assembly of graphs and charts for visualizing and tracking statistics/metrics

Creation and customization of dashboards

Merge data from multiple sources to a single data set

Grouping log entries based on similar attributes.

Clustering or grouping objects based on data similarities

Connect to big data sources

Discover and connect variety of data sources to the application for analysis

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Import and export data to and from software applications

Ability to handle large datasets

Track the management and flow of data throughout the organization

AI method of discovering or extracting data patterns from larger volumes of data

Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions.

Protect sensitive data for digital privacy

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Translate EDI formats into data suitable for use with company applications.

Graphical representation of data

Tools that provide relevant information at specific times to support judgments and courses of action

Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data.

Forecast customer demand using historical insights and simulations

Assemble applications and processes by dragging over and arranging pre-built components

Used for educational purposes

Software designed for the healthcare industry

For Retail Stores

Form predictions based on past and present data/trends

Create, design and modify the flow and processes of tasks in a project

Edit and personalize data view as needed

Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity

Share, track, and store machine learning models and data.

Process of testing an ML algorithm by feeding it training data to learn from

Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making

Allows users to manage data from a number of sources

Process and analyze human language in text or audio form

Drag and drop/visual interfaces that allow non-tech users to build without writing code

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Predict future data based on historical data sets

Analyzing historical and current data and generating a model to help predict future outcomes.

Streamlining repetitive tasks and activities through automated and predefined workflows

Evaluate the degree to which business operations bring monetary gains

Share pre-configured sets of data organized and presented in a specific manner with the organization

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

View and track pertinent metrics to find patterns and gain insights from data

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Search and filter data across systems to locate required information by entering keywords or certain criteria

Access, combine, transform, and store data without the help of an IT department

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc

Set up connections to third-party platforms to improve business processes

Series of data points indexed in time order

Review data from past periods to reveal recurring tendencies and predict future performance

Interact with data visualization elements, such as charts and graphs, to drill down into data

An extended application or connector that enables users to perform additional services with their current set of tools

Create, design and manage workflows for repetitive tasks

Get Advice

We can help you find the software with the features you need.

Features

4.4 (25)

4.4

Based on 25 reviews

## Pricing

Value for money

4.7 (18)

Free Version

[View pricing plan details](https://www.capterra.com/p/158739/KNIME-Analytics-Platform/pricing/)

KNIME Analytics Platform

€0.00

KNIME Community Hub Personal Plan

€0.00

KNIME Community Hub Team Plan

€99.00

Per Month

KNIME Business Hub

€35,000

Per Year

Value for money

4.7 (18)

4.7

Based on 18 reviews

## Integrations

[

Google Sheets](https://www.capterra.com/p/169718/Google-Sheets/)[

Microsoft SharePoint](https://www.capterra.com/p/1167/SharePoint/)[

Tableau](https://www.capterra.com/p/208764/Tableau/)[

Google Cloud Storage](https://www.capterra.com/p/253631/Google-Cloud-Storage/)[

MySQL](https://www.capterra.com/p/11482/MySQL/)[

Microsoft SQL Server](https://www.capterra.com/p/1417/SQL-Server/)[

Microsoft Power BI](https://www.capterra.com/p/176586/Power-BI/)[

Amazon S3](https://www.capterra.com/p/174285/Amazon-S3/)

Connect with a Capterra advisor for a free 15-minute consultation

Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs.

## Support, customer service and training options

Customer Service

3.9 (15)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

3.9 (15)

3.9

Based on 15 reviews

## User reviews

Overall rating

4.6

Based on 25 reviews

Filter by rating

5(15)

4(10)

3(0)

2(0)

1(0)

Mentioned topic

Sorted by most recent

SR

Sasha R.

Product Lead

Information Technology and Services

### "Using KNIME for reporting"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

8/10

January 12, 2024

Good and would recommend to non technical professionals as well

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.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

EP

Elena P.

Principal

Management Consulting

### "Semplice da comprendere ed utilizzare "

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

3.0

3.0

Customer Service

4.0

4.0

Likelihood to Recommend

8/10

December 6, 2023

Utilizzo Knime per analizzare in modo aggregato dati di diversi clienti e produrre analisi benchmark. Nel complesso sono soddisfatta del prodotto vista la sua facilità d’uso e la sua flessibilità.

Pros

Il drag & drop rende la piattaforma facile da usare. Mi piace anche il fatto che il sistema sia leggero, veloce e che indichi lo stato di ogni step. Apprezzo la sua estrema flessibilità, che permette di sperimentare.

Cons

Le modalità di condivisioni delle analisi presentano parecchie restrizioni, sarebbe necessario aggiungere più opzioni.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

DB

Donata B.

Biostatistician

Pharmaceuticals

### "Un infinità di moduli per molteplici assi di analisi"

4.0

Overall Rating

4.0

4.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

8/10

November 1, 2023

Utilizzo KNIME per eseguire analisi multivariate ed identificare relazioni dirette tra variabili. È un software scalabile intuitivo e si è integrato bene con i processi aziendali presenti nel passato. Permette, a me ed ai miei colleghi più junior, si sviluppare algoritmi complessi senza usare codice. di sviluppare

Pros

KNIME non richiede skills di programmazione è possibile lavorare con il drag in drop non perdendo la flessibilità del coding in quanto ci sono nodi in cui è possibile scrivere in Python oppure R. Sono presenti add-on per promuovere l’integrazione tra il data mining e l’analisi di serie di dati. KNIME offre un ampia gamma di processi ed il supporto a diversi web reports.

Cons

Nel momento in cui i moduli installati diventano molti il lancio del programma richiede minuti. Le integrazioni con altri software sono poche. I messaggi di errore mentre si sta svolgendo il processo lo interrompono.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

Rochelle M.

Analytical and Modelling Analyst

Information Technology and Services

### "Well created open source for data analysis!"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

10/10

January 28, 2023

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.

Switched from

[Alteryx Designer](https://www.capterra.com/p/145696/Alteryx-Designer/)

less of worth but same functionalities

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

FA

Filippo A.

Student

Management Consulting

### "Machine Learning in Knime"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

4.0

4.0

Likelihood to Recommend

9/10

January 20, 2023

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

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

U?ur Deniz Y.

business intelligence manager

Research

### "No need to write code"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

0.0

0.0

Likelihood to Recommend

8/10

August 9, 2022

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

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.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

DM

Debarpan M.

Student

Marketing and Advertising

### "Excellent open source complete analytics solution"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

April 17, 2022

We have used Knime to ingest huge volumes of data from multiple data sources. With Knime we cleaned the data and transformed and standardized it. Furthermore, we did a statistical analysis of the data to extract important insights. Workflows were automated to handle data coming every day. All this improved the efficiency of the business processes. We developed reports with the data to convey our consolidated findings for better decision making.

Pros

Totally free to use for any purposes Easy and simple UI, easy to get started Excellent community support - Open source with all technical details available No code application, automate and run workflows Can be integrated with external applications like R, Python

Cons

Reporting and visualisation functionalities could be improved A large number of features together gives an impression of being cluttered sometimes Memory allocation could be improved

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

AU

Anonymous User

Founder

E-Learning

### "Great open source product for data science starters"

4.0

Overall Rating

4.0

4.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

3.0

3.0

Likelihood to Recommend

9/10

October 22, 2021

I love KNIME and use is often to teach data-science to my students.

Pros

It's easy and intuitive. Perfect for beginners to learn the steps and concepts of data-science.

Cons

It cannot deal with big data. Every time I tried to analyse a large data, it crashed. So, it makes me feel that it's meant for smaller size of data.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

SC

Santiago C.

Business Navigator

Furniture

### "A tool for citizen developers, from automation to data science"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

10/10

July 24, 2021

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.

Alternatives considered

[Alteryx Designer](https://www.capterra.com/p/145696/Alteryx-Designer/)

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

AU

Anonymous User

Technology Specialist

E-Learning

### "Data Analytics and Machine Learning models with a simple graphical interface"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

4.0

4.0

Customer Service

0.0

0.0

Likelihood to Recommend

9/10

March 11, 2021

I developed a model and determined its R square using KNIME to explain my model in a stepwise fashion for a presentation.

Pros

The graphical interface allows simple drag and drop of objects to process the data. With knowledge of statistics, data science and artificial intelligence, you can implement basic and complex data pipelines. The software is specially useful when you need to explain these models in a stepwise manner to team members who do not possess the technical expertise in programming.

Cons

I believe it can sometimes be difficult to debug since it is not documented the same way as python or R studio. That is not to say that the documentation is poor, you will probably find a fix to most, if not all problems that you face through some searching.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

[View all Reviews](https://www.capterra.com/p/158739/KNIME-Analytics-Platform/reviews/)

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Independent research methodology

Capterra's researchers use a mix of verified reviews, independent research and objective methodologies to bring you selection and ranking information you can trust. While we may earn a referral fee when you visit a provider through our links or speak to an advisor, this has no influence on our research or methodology.

[Learn more](https://www.capterra.com/resources/proprietary-data-research/)

How Capterra verifies reviews

Capterra carefully verified over 2.5 million+ reviews to bring you authentic software experiences from real users. Our human moderators verify that reviewers are real people and that reviews are authentic. They use leading tech to analyze text quality and to detect plagiarism and generative AI.

[Learn more](https://www.capterra.com/resources/how-we-verify-reviews/)

How Capterra ensures transparency

Capterra lists all providers across its website—not just those that pay us—so that users can make informed purchase decisions. Capterra is free for users. Software providers pay us for sponsored profiles to receive web traffic and sales opportunities. Sponsored profiles include a link-out icon that takes users to the provider's website.

[Learn more](https://www.capterra.com/resources/how-we-ensure-transparency/)