--- title: "KNIME Analytics Platform Software Reviews, Demo & Pricing - 2026" description: "Review of KNIME Analytics Platform Software: system overview, features, price and cost information. Get free demos and compare to similar programs." source_url: "https://www.softwareadvice.com/bi/knime-analytics-platform-profile/" page_type: "product" language: "en" --- [Home](https://www.softwareadvice.com/) / [Predictive Analytics Software](https://www.softwareadvice.com/bi/predictive-analytics-comparison/) / KNIME Analytics Platform Software Advice offers objective insights based on verified user reviews and independent product and market research. When our advisors match you to a software provider, we may earn a referral fee. Overview [Reviews](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/reviews/)[Alternatives](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/alternatives/) # KNIME Analytics Platform Review From €99-€35,000/month Free version 4 plans Wondering if KNIME Analytics Platform is right for your organization? Our Predictive Analytics Software selection experts can help you in 15 minutes or less. On this page - Overview - User Interface - Popular Alternatives - Pricing and Plans - Features - Integrations - User Reviews - Popular Comparisons ## Overview KNIME Analytics Platform 4.6 [(25)](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/reviews/) 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... ing, tracking, and auditing Business & domain experts can access and blend data, perform advanced analyses, and deliver timely insights, all in a visual, interactive environment that eliminates the need to code. They can prep data faster and do deeper analyses because KNIME lets them: \* Connect to all data sources and access any file format in one visual environment. \* Transform data self-sufficiently in the same visual environment without IT dependency \* Use visual workflows from others as blueprints to get started faster \* Automate repetitive data tasks like data prep and reporting with reusable workflows \* Minimize the time to spot and fix errors with each step of the analysis clearly visible, and track changes with version control \* Access thousands of self-explanatory nodes to perform the actions needed on data \* Create workflows of any complexity by joining nodes together via drag and drop End users can get instant insights with custom-built, interactive data apps without needing to know how to code or build analytical models. They can make faster, data-driven decisions with advanced analytics at their disposal because KNIME lets them: \* Interact with analyses of any complexity level with an intuitive data app UI \* Easily access data apps via the browser with a secure connection or shareable link \* Identify patterns with job-relevant data apps and provide feedback to improve the model \* Lower the barrier between them and data science teams, enhancing analytics output accuracy \* Choose to get insights from simple dashboards or complex, interactive visualizations \* Explore data and perform ad hoc analyses using interaction points within data apps \* Avoid vendor lock-in and adapt to changing business needs with an extensible platform MLOps and IT teams use KNIME to securely deploy, manage, and scale with a single installation while ensuring enterprise-grade security and governance. KNIME enables them to: \* Safely deploy and monitor models from one single place \* Ensure adherence to best practices \* Meet enterprise needs while ensuring data security and governance \* Securely productionization data science at scale Wondering if KNIME Analytics Platform is right for your organization? Our Predictive Analytics Software selection experts can help you in 15 minutes or less. ## KNIME Analytics Platform User Interface ## Popular KNIME Analytics Platform Alternatives Main Product KNIME Analytics Platform 4.6 [(25)](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/reviews/) Ratings Breakdown - 4.48Ease of use - 4.72Value for money - 3.93Customer support - 4.44Functionality Pricing Starting at €99.00 per month Get Price Alternative Product [Microsoft Power BI](https://www.softwareadvice.com/bi/microsoft-power-bi-profile/) 4.6 [(1890)](https://www.softwareadvice.com/bi/microsoft-power-bi-profile/reviews/) Ratings Breakdown - 4.13Ease of use - 4.41Value for money - 4.16Customer support - 4.49Functionality Pricing Starting at $10.00 per month Get Price Alternative Product [ImportYeti](https://www.softwareadvice.com/bi/importyeti-profile/) 4.9 [(215)](https://www.softwareadvice.com/bi/importyeti-profile/reviews/) Ratings Breakdown - 4.80Ease of use - 4.86Value for money - 4.95Customer support - 4.77Functionality Pricing Available upon request Get Price Alternative Product [Tableau](https://www.softwareadvice.com/bi/tableau-profile/) 4.6 [(2360)](https://www.softwareadvice.com/bi/tableau-profile/reviews/) Ratings Breakdown - 4.12Ease of use - 4.20Value for money - 4.24Customer support - 4.49Functionality Pricing Starting at $15.00 per month Get Price Alternative Product [Microsoft SQL Server](https://www.softwareadvice.com/bi/microsoft-sql-server-profile/) 4.6 [(1981)](https://www.softwareadvice.com/bi/microsoft-sql-server-profile/reviews/) Ratings Breakdown - 4.31Ease of use - 4.27Value for money - 4.26Customer support - 4.57Functionality Pricing Starting at $209.00 one time Get Price Alternative Product [TradeInt](https://www.softwareadvice.com/bi/tradeint-profile/) 5.0 [(68)](https://www.softwareadvice.com/bi/tradeint-profile/#reviews) Ratings Breakdown - 4.85Ease of use - 4.78Value for money - 4.71Customer support - 4.74Functionality Pricing Starting at $999.00 per year Get Price ## 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 Confused about pricing? We've got you covered. Get a personalized pricing breakdown tailored to your specific needs—no guesswork, no generic estimates. ## 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 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 Automation Workflow Management ## KNIME Analytics Platform Integrations Snowflake Integration rated undefined from -1 review Microsoft SharePoint Integration rated undefined from -1 review Microsoft SQL Server Integration rated undefined from -1 review ChatGPT Integration rated undefined from -1 review Cloudera Enterprise Integration rated undefined from -1 review Amazon Comprehend Integration rated undefined from -1 review See all 21 integrations ## KNIME Analytics Platform User Reviews ## KNIME Analytics Platform customer ratings - Overall rating: 4.6/5 - Total reviews: 25 ### Rating distribution - 5 stars: 15 reviews (60%) - 4 stars: 10 reviews (40%) - 3 stars: 0 reviews (0%) - 2 stars: 0 reviews (0%) - 1 star: 0 reviews (0%) ### Secondary ratings - Ease of use: 4.5/5 - Value for money: 4.7/5 - Customer support: 3.9/5 - Functionality: 4.4/5 --- ### Well created open source for data analysis! - Overall rating: 5/5 - Reviewer: Rochelle M. - Verified reviewer: Yes - Industry: Information Technology and Services - Company size: 10000+ employees - Product usage: Used daily for less than 12 months - Reviewed: January 2023 - Review source details: This review was submitted organically. No incentive was offered #### Ratings breakdown - Ease of use: 5/5 - Functionality: 5/5 #### 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 --- ### Data Science 101 Platform for non-IT people - Overall rating: 4/5 - Reviewer: Ferhat D. - Verified reviewer: Yes - Industry: Information Technology and Services - Company size: 5001-10000 employees - Product usage: Used daily for more than 2 years - Reviewed: January 2020 - Review source details: This review was submitted organically. No incentive was offered 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: 5/5 - Value for money: 3/5 - Customer support: 3/5 - Functionality: 3/5 #### 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. --- ### Solid Platform for Small Datasets and Broad Data Connectivity - Overall rating: 4/5 - Reviewer: Verified Reviewer - Verified reviewer: Yes - Industry: Health, Wellness and Fitness - Company size: 5001-10000 employees - Product usage: Used weekly for less than 12 months - Reviewed: May 2020 - Review source details: This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you. 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 ( 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: 3/5 - Value for money: 5/5 - Customer support: 2/5 - Functionality: 4/5 #### 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. --- ### Great for all types of data scientists - Overall rating: 5/5 - Reviewer: Verified Reviewer - Verified reviewer: Yes - Industry: Higher Education - Company size: 51-200 employees - Product usage: Used daily for free trial - Reviewed: September 2020 - Review source details: This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you. 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: 4/5 - Value for money: 5/5 - Functionality: 4/5 #### 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. --- ### Using KNIME for reporting - Overall rating: 5/5 - Reviewer: Sasha R. - Verified reviewer: Yes - Industry: Information Technology and Services - Company size: 5001-10000 employees - Product usage: Used weekly for less than 2 years - Reviewed: January 2024 - Review source details: This review was submitted organically. No incentive was offered Good and would recommend to non technical professionals as well #### Ratings breakdown - Ease of use: 4/5 - Functionality: 5/5 #### 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. --- ### KNIME is very easy to learn and use for anybody - Overall rating: 4/5 - Reviewer: Meliksah T. - Verified reviewer: Yes - Industry: Consumer Electronics - Company size: 5001-10000 employees - Product usage: Used daily for more than 2 years - Reviewed: July 2019 - Review source details: This review was submitted organically. No incentive was offered 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: 5/5 - Value for money: 4/5 - Customer support: 4/5 - Functionality: 4/5 #### 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. --- ### A tool for citizen developers, from automation to data science - Overall rating: 5/5 - Reviewer: Santiago C. - Verified reviewer: Yes - Industry: Furniture - Company size: 10000+ employees - Product usage: Used daily for more than 2 years - Reviewed: July 2021 - Review source details: This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you. #### Ratings breakdown - Ease of use: 5/5 - Value for money: 5/5 - Functionality: 5/5 #### 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. --- ### Machine Learning in Knime - Overall rating: 5/5 - Reviewer: Filippo A. - Verified reviewer: Yes - Industry: Management Consulting - Company size: 5001-10000 employees - Product usage: Used weekly for less than 12 months - Reviewed: January 2023 - Review source details: This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you. #### Ratings breakdown - Ease of use: 5/5 - Value for money: 5/5 - Customer support: 4/5 - Functionality: 4/5 #### 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 --- ### No need to write code - Overall rating: 5/5 - Reviewer: U¿ur Deniz Y. - Verified reviewer: Yes - Industry: Research - Company size: 10000+ employees - Product usage: Used weekly for less than 2 years - Reviewed: August 2022 - Review source details: This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you. 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: 5/5 - Functionality: 4/5 #### 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. --- ### Visualized pipeline for Data Scientist - Overall rating: 4/5 - Reviewer: Ivan C. - Verified reviewer: Yes - Industry: Pharmaceuticals - Company size: 10000+ employees - Product usage: Used daily for less than 2 years - Reviewed: March 2020 - Review source details: This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you. It is a good tool for small business owners, but it lacks the scalability for larger audiences. #### Ratings breakdown - Ease of use: 4/5 - Value for money: 4/5 - Customer support: 3/5 - Functionality: 5/5 #### 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 [See All Reviews](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/reviews/) ## KNIME Analytics Platform Popular Comparisons [Microsoft Power BI vs KNIME Analytics Platform](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/vs/microsoft-power-bi/)[ImportYeti vs KNIME Analytics Platform](https://www.softwareadvice.com/bi/importyeti-profile/vs/knime-analytics-platform/)[Tableau vs KNIME Analytics Platform](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/vs/tableau/)[Microsoft SQL Server vs KNIME Analytics Platform](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/vs/microsoft-sql-server/)[Domo vs KNIME Analytics Platform](https://www.softwareadvice.com/bi/domo-profile/vs/knime-analytics-platform/) [Compare All Alternatives](https://www.softwareadvice.com/bi/knime-analytics-platform-profile/alternatives/) ## Other Top Recommended Predictive Analytics Software [SAS Viya](https://www.softwareadvice.com/data-catalog/sas-viya-profile/) **4.4** (12) Recently recommended **11** times [SAP BTP](https://www.softwareadvice.com/bi/sap-btp-profile/) **0.0** (0) Recently recommended **4** times [Tableau](https://www.softwareadvice.com/bi/tableau-profile/) **4.6** (2360) Recently recommended **0** times [Google Cloud](https://www.softwareadvice.com/compliance/google-cloud-platform-profile/) **4.7** (2326) Recently recommended **0** times Stuck Between Options? 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