--- title: "KNIME Analytics Platform Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about KNIME Analytics Platform Software - reviews, pricing plans, popular comparisons to other Predictive Analytics products and more." source_url: "https://www.capterra.com/p/158739/KNIME-Analytics-Platform/" page_type: "product" language: "en" --- # KNIME Analytics Platform Software Review 2026: Features, Integrations, Pros & Cons Last updated on August 20, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[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 Includes Free Version 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 (331)](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 (1,867) Value For Money 4.7 (18) Value For Money 4.0 (1,271) Customer Service 3.9 (15) Customer Service 4.0 (1,205) ## KNIME Analytics Platform alternatives [4.5 (285)](https://www.capterra.com/p/169053/Looker/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 94% of reviewers rated it above 4 stars [Microsoft Power BI](https://www.capterra.com/p/176586/Power-BI/) [4.6 (1,888)](https://www.capterra.com/p/176586/Power-BI/reviews/) Starting price $10.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/176586/Power-BI/) Highest Rated [ImportYeti](https://www.capterra.com/p/10006176/ImportYeti/) [4.9 (213)](https://www.capterra.com/p/10006176/ImportYeti/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/10006176/ImportYeti/) [Tableau](https://www.capterra.com/p/208764/Tableau/) [4.6 (2,358)](https://www.capterra.com/p/208764/Tableau/reviews/) Starting price $15.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/208764/Tableau/) [View all alternatives](https://www.capterra.com/p/158739/KNIME-Analytics-Platform/alternatives/) ## FAQs about KNIME Analytics Platform Overview ### Which roles and teams benefit most from KNIME Analytics Platform? KNIME Analytics Platform is most used by data scientists, analysts, and research teams that need to prepare data, build models, and automate repeatable analytics workflows. IT and data engineering roles use it to integrate sources and streamline pipelines, while consultants, students, and business leaders apply it for exploration, reporting, and decision support. Answer based on 25 reviews Overview ### What company size and specific industries is KNIME Analytics Platform built for? KNIME Analytics Platform is designed for enterprise organizations and supports data users across the business, including data experts, business and domain experts, end users, and MLOps or IT specialists. The vendor description does not name specific industries, but the platform is aimed at enterprise-wide use rather than a single sector. Features and Usability ### What are the key features of KNIME Analytics Platform? KNIME Analytics Platform offers a graphical workflow editor, no-code workflow automation, and data preparation tools for importing, blending, transforming, and cleansing data. It also includes machine learning, predictive analytics, text analysis, and time series analysis, plus dashboards, reporting, access controls, auditing, and third-party integrations. Integrations ### Which third-party tools and platforms does KNIME Analytics Platform integrate with? KNIME Analytics Platform integrates with over 20 tools and platforms, including Tableau and TensorFlow, plus Amazon S3, Azure Databricks, Google Sheets, Microsoft Power BI, Microsoft SQL Server, and MongoDB. Its catalog also includes Apache Hive, Databricks, and Microsoft SharePoint for cloud, analytics, and data management workflows. Answer based on 5 reviews Getting Started and Support ### How easy is KNIME Analytics Platform to learn and use? KNIME Analytics Platform makes basic data prep and workflow design accessible through a drag-and-drop interface and guided visual logic. Non-technical teams and analysts often get started without much coding, but beginners may face a learning curve with debugging, documentation depth, setup steps, memory settings, and more advanced machine learning tasks. Answer based on 14 reviews Getting Started and Support ### What training and onboarding options does KNIME Analytics Platform offer? KNIME Analytics Platform provides in person training, live online sessions, webinars, documentation, and videos to help teams get started. In person and live online formats support guided instruction, webinars cover product topics for group learning, and documentation and videos offer self-paced reference materials. Answer based on 2 reviews Getting Started and Support ### What customer support options does KNIME Analytics Platform offer? KNIME Analytics Platform provides Email/Help Desk, FAQ/Forum, Knowledge Base, and Phone Support. Users describe the support community as active and responsive, with helpful videos, examples, and documentation that make the learning curve easier, though some features still feel unintuitive at first. Answer based on 4 reviews Features and Usability ### Is KNIME Analytics Platform easy to use visually? KNIME Analytics Platform makes visual workflow building approachable with drag-and-drop nodes, clear pipeline views, and low-code analysis tools. Business analysts, junior team members, and non-programmers often find the interface easy to follow, though some users describe it as cluttered, dated, or less intuitive for flow variables, reporting, and advanced customization. Answer based on 15 reviews ## Features AI summary Based on 478 Predictive Analytics reviews Capterra data shows that buyers of Predictive Analytics software rank the following features as their top priorities: - **Reporting/Analytics** (**44%** of reviewers rated this feature as critical) - **Data Visualization** (**48%**) - **Performance Metrics** (**45%**) KNIME Analytics Platform supports all three top-priority features: **Reporting/Analytics**, **Data Visualization**, and **Performance Metrics**. Together, these capabilities help businesses track results, turn complex data into clear visual insights, and monitor key outcomes over time, allowing teams to make informed decisions faster and improve planning with greater confidence. Data Visualization 5.0 (1) 200.00% of 1 reviewers that rated this feature as important or highly important Graphical representation of data 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 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 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 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 KNIME Analytics Platform 67 features ### All Features - Access Controls/Permissions: Define levels of authorization for access to specific files or systems - Ad hoc Query: One-off queries made on an as-needed basis - Ad hoc Reporting: Generate one-off reports that meet information requirements - AI/Machine Learning: Software program that continuously adjusts its behavior based on observed data - Alerts/Notifications: Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges - API: Application programming interface that allows for integration with other systems/databases - Auditing: Examine established processes and records to ensure accuracy, compliance, and policy adherence - Big Data Analytics: Examine large amounts of data to uncover hidden patterns, correlations, and other insights - Business Rules Management: Define and maintain business rules that determine workflow capabilities and criteria - Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together - Configurable Workflow: Configure existing workflows to meet your organization's needs - Customizable Branding: Add customized logos and colors to align with company branding - Customizable Reports: Alter the layout and content of reports - Customizable Templates: Pre-designed layouts that can be customized to match preferences and requirements - Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics - Dashboard Creation: Creation and customization of dashboards - Data Blending: Merge data from multiple sources to a single data set - Data Classification: Grouping log entries based on similar attributes. - Data Clustering: Clustering or grouping objects based on data similarities - Data Connectors: Connect to big data sources - Data Discovery: Discover and connect variety of data sources to the application for analysis - Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources - Data Import/Export: Import and export data to and from software applications - Data Management: Ability to handle large datasets - Data Mapping: Track the management and flow of data throughout the organization - Data Mining: AI method of discovering or extracting data patterns from larger volumes of data - Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. - Data Security: Protect sensitive data for digital privacy - Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency - Data Transformation: Translate EDI formats into data suitable for use with company applications. - Data Visualization: Graphical representation of data - Decision Support: Tools that provide relevant information at specific times to support judgments and courses of action - Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. - Demand Forecasting: Forecast customer demand using historical insights and simulations - Drag & Drop: Assemble applications and processes by dragging over and arranging pre-built components - For Education: Used for educational purposes - For Healthcare: Software designed for the healthcare industry - For Retail: For Retail Stores - Forecasting: Form predictions based on past and present data/trends - Graphical Workflow Editor: Create, design and modify the flow and processes of tasks in a project - Interactive Reports: Edit and personalize data view as needed - Key Performance Indicators: Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity - ML Algorithm Library: Share, track, and store machine learning models and data. - Model Training: Process of testing an ML algorithm by feeding it training data to learn from - Modeling & Simulation: Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making - Multiple Data Sources: Allows users to manage data from a number of sources - Natural Language Processing: Process and analyze human language in text or audio form - No-Code: Drag and drop/visual interfaces that allow non-tech users to build without writing code - Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc. - Predictive Analytics: Predict future data based on historical data sets - Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes. - Profitability Analysis: Evaluate the degree to which business operations bring monetary gains - Publishing/Sharing: Share pre-configured sets of data organized and presented in a specific manner with the organization - Reporting & Statistics: Collection, analysis, and representation of numerical data and generation of reports to understand various patterns - Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data - Role-Based Permissions: Set & manage permission levels based on user roles and restrict access to only authorized individuals - Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria - Self Service Data Preparation: Access, combine, transform, and store data without the help of an IT department - Tagging: Attach digital tags to documents and assets for identification, search, or monitoring purposes - Text Analysis: Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc - Third-Party Integrations: Set up connections to third-party platforms to improve business processes - Time Series Analysis: Series of data points indexed in time order - Trend Analysis: Review data from past periods to reveal recurring tendencies and predict future performance - Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data - Widgets: An extended application or connector that enables users to perform additional services with their current set of tools - Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows - Workflow Management: 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. AN 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. AN 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/) ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox. Popular comparisons [Microsoft Power BI vs KNIME Analytics Platform](https://www.capterra.com/compare/158739-176586/KNIME-Analytics-Platform-vs-Power-BI)