--- title: KNIME Reviews meta_title: 'KNIME Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 111 reviews by the users' company size, role or industry to find out how KNIME works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 111 scale: '5' date_modified: '2026-08-11' parent_category: name: Analytics Tools & Software url: https://www.g2.com/categories/analytics-tools-software --- # KNIME Reviews **Vendor:** KNIME **Category:** [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) **Average Rating:** 4.5/5.0 **Total Reviews:** 111 ## About KNIME KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice. ## KNIME Pros & Cons **What users like:** - Users find KNIME's **ease of use** exceptional, enabling non-technical individuals to create workflows effortlessly. (7 reviews) - Users value the **coding ease** of KNIME, allowing even non-coders to build complex workflows effortlessly. (4 reviews) - Users find KNIME's **ease of learning** beneficial, allowing beginners to start delivering results quickly. (4 reviews) - Users find KNIME to be a **powerful and easy-to-learn platform** , enabling effective data analysis and AI solution development. (4 reviews) - Users highlight the **effortless data visualization** capabilities of KNIME, making complex data accessible and easy to understand. (3 reviews) - Easy Integrations (3 reviews) - Graphical Visualization (3 reviews) - Machine Learning (3 reviews) - AI Capabilities (2 reviews) - Automation (2 reviews) **What users dislike:** - Users find the **initial learning curve challenging** , especially for those new to data science and visual programming. (3 reviews) - Users experience significant **memory usage issues** with KNIME, leading to slow performance, especially with large files. (3 reviews) - Users report **storage limitations** with KNIME, facing memory availability issues that hinder performance with large files. (3 reviews) - Users note that **data management issues** persist in KNIME, particularly with file handling and database compatibility. (2 reviews) - Users feel the **lack of learning resources** hinders their ability to fully utilize KNIME's capabilities. (2 reviews) - Users experience **limited storage** issues with KNIME Software, affecting performance and usability during data processing. (2 reviews) - Not User-Friendly (2 reviews) - Beginner Difficulty (1 reviews) - Data Analysis Difficulty (1 reviews) - Difficult Navigation (1 reviews) ## KNIME Reviews ### 1. Fairly Intuitive Interface for Visual Data Prep Pros **Rating:** 4.0/5.0 stars **Reviewed by:** Torian F. | Data Manager (Sr. Data Analyst), Mid-Market (51-1000 emp.) **Reviewed Date:** August 11, 2026 **What do you like best about KNIME?** The interface seems fairly intuitive if you already have experience with visual data preparation tools **What do you dislike about KNIME?** Not enough time with the tool to really indicate dislikes. **What problems is KNIME solving and how is that benefiting you?** KNIME provides a visual way to prepare, transform, and analyze data while also allowing more complex workflows to be automated. Coming from Tableau Prep, I can see the potential benefit of having more advanced data preparation, analytics, and automation capabilities within the same workflow. ### 2. Flexible and Efficient Workflow Builder with Minor Performance Issues **Rating:** 4.0/5.0 stars **Reviewed by:** Erik D. | Ass.Prof., Research, Mid-Market (51-1000 emp.) **Reviewed Date:** July 09, 2026 **What do you like best about KNIME?** I really like how flexible KNIME Software is for building workflows. There's a lot of libraries and plugins available which makes it easy to compose complex behaviors without needing to code if you don't want to. It's adaptable to people with different levels of experience, allowing both beginners and more experienced users to contribute effectively. The software makes it easy to perform complex analysis tasks and have different variants of standard workflows, which is great for collaborative work and for building experience. **What do you dislike about KNIME?** Using it on Windows, sometimes it is a bit sluggish. **What problems is KNIME solving and how is that benefiting you?** KNIME Software lets me build reproducible and standard workflows for computational biology, ensuring consistent and reliable results. I can share these workflows with colleagues, fostering collaboration and maintaining high-quality outcomes. ### 3. Flexible, AI-Integrated Toolset—But Occasionally Node Guidance Can Be Hard to Find **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.) **Reviewed Date:** August 11, 2026 **What do you like best about KNIME?** It's an environment that removes the tedium from many tasks, is flexible enough to allow Python, SQL and other code where necessary, offers a deep library of tools and is AI-integrated. **What do you dislike about KNIME?** Occasionally I get stuck on how a node should work, or I just can't get it to work, and I can't find sufficient help. It's gotten better over time since I started using Knime. **What problems is KNIME solving and how is that benefiting you?** More than anything, it's automating a recurring workflow. Relatedly, as I work through unfamiliar data, it helps me explore and refine my understanding of the dataset. ### 4. Easy Integration for Offering Packages Across Many Fields—Still Learning **Rating:** 3.5/5.0 stars **Reviewed by:** David M. | Independent Expert, Research & Innovation, Small-Business (50 or fewer emp.) **Reviewed Date:** July 21, 2026 **What do you like best about KNIME?** Not an expert for now, but happy that I can integrate and offer my packages to be used in many different fields of activities. **What do you dislike about KNIME?** Easy integration and process automation. **What problems is KNIME solving and how is that benefiting you?** As a solution provider, I can reach many more customers. ### 5. Open Platform with Great Agentic AI Integration **Rating:** 4.0/5.0 stars **Reviewed by:** fabio c. | Head of Secure Data&AI, Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** The open platform and the integration of agentic AI. **What do you dislike about KNIME?** I think that KNIME should invest more in countries like Italy by promoting wider dissemination and offering training at universities. **What problems is KNIME solving and how is that benefiting you?** Data consolidation: it gathers data from different sources and provides a visual approach. ### 6. Time-Saving and Insightful Tool **Rating:** 4.0/5.0 stars **Reviewed by:** Carolina S. | Senior Financial Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** I like that it is Time saving and insightful **What do you dislike about KNIME?** It need time to get used to it and to learn all nodes **What problems is KNIME solving and how is that benefiting you?** Analyzing data in excel and saving time by repoting tasks ### 7. Automation-Driven Workflows That Boost Collaboration **Rating:** 4.0/5.0 stars **Reviewed by:** Thi-Nguyet-Thu N. | Senior Associate Advisory, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** Automation Workflow Adaption Collaboration **What do you dislike about KNIME?** User Interface not compact enough Saving methodology on local drive Too many nodes for similar acrion (better one with all funxtionality) **What problems is KNIME solving and how is that benefiting you?** Reporting Transforming data ### 8. Great for Data Analysis **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Accounting | Enterprise (> 1000 emp.) **Reviewed Date:** May 28, 2025 **What do you like best about KNIME?** The nodes which are simple use which used to built a workflow for achieving an objective. This was helpful as user need not be a coder or highly technical person use knime **What do you dislike about KNIME?** So far used, only limitation i faced was memory availability issues **What problems is KNIME solving and how is that benefiting you?** Built some financial calculations and predictive cash flows ### 9. Knime review **Rating:** 4.0/5.0 stars **Reviewed by:** Gaetano Saverio F. | Enterprise (> 1000 emp.) **Reviewed Date:** February 24, 2023 **What do you like best about KNIME?** I like the possibility to automate a lot of work that I usually do at my job. It is very easy to import and export data from/to Excel file. It is very useful that the function that you can apply are in visual block **What do you dislike about KNIME?** I try difficult to read data from some typed of Database (eg. Access) **What problems is KNIME solving and how is that benefiting you?** Automate some operations that I would otherwise have to do manually. This allows you to speed up my work and make fewer mistakes. It's also easy to re-read the project after weeks, as the building blocks are very intuitive. ### 10. Knime for ETL **Rating:** 3.5/5.0 stars **Reviewed by:** Naveen K. | BIOVIA Technical lead, Enterprise (> 1000 emp.) **Reviewed Date:** March 07, 2023 **What do you like best about KNIME?** The knime has a plaug and play kind of programming knowledge. **What do you dislike about KNIME?** Advanced changes to each component requires person to have JAVA knowledge. **What problems is KNIME solving and how is that benefiting you?** It was used as a ETL platform in our project. It's a free tool for reading from text files and hence was very much helpfull. ### 11. Knime is good tool **Rating:** 3.5/5.0 stars **Reviewed by:** Abdul Rauf A. | Business Intelligence Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** March 07, 2023 **What do you like best about KNIME?** Good trchnological tool with some great data prepration components **What do you dislike about KNIME?** Processing time os very slow and have limited finctions in data transformation **What problems is KNIME solving and how is that benefiting you?** Insurance data transformation ### 12. One stop solution **Rating:** 3.5/5.0 stars **Reviewed by:** Shashang c. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** November 18, 2022 **What do you like best about KNIME?** High flexibility and open source platform for end to end ETL build and transformation which is easy to learn and implement **What do you dislike about KNIME?** The interface is very old fashioned could make the front end much smooth for an overall smooth operation and experience **What problems is KNIME solving and how is that benefiting you?** Helps us source data from external source and ingest into our target all work done on the GUI so highly recommend using knime ### 13. analytics within reach **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Banking | Mid-Market (51-1000 emp.) **Reviewed Date:** August 30, 2022 **What do you like best about KNIME?** It is a technological tool that helps you to simplify the work of analytics, it allows you to reduce time. **What do you dislike about KNIME?** At this point there is nothing that I can say that I don't like about it , I still need to continue working more projects with it. **What problems is KNIME solving and how is that benefiting you?** It has helped me solve the lengthy process of compiling information from RFP processes and minimizing data analysis times for vendor offers. ### 14. Data Analytics Platform **Rating:** 3.5/5.0 stars **Reviewed by:** Jay R. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 12, 2022 **What do you like best about KNIME?** - It is free and open source - Simple UI - Easy to use - Powerful tool to create analytical workflows - No coding is required to execute workflows - Number of nodes and extensions available - Drag and drop feature for nodes and extensions - Able to know data status of each step **What do you dislike about KNIME?** - Slow loading time - Beginners will require some time to learn this tool - Sometimes, it can run slower when you are using number of nodes and extensions **What problems is KNIME solving and how is that benefiting you?** It is generally a good software for data analysis. We are using this tool for statistical data analytics in our organization. It help us to mining our large set of data in timely manner. ### 15. Easy to use and understand **Rating:** 4.0/5.0 stars **Reviewed by:** Dwayne D. | Board Of Directors, Small-Business (50 or fewer emp.) **Reviewed Date:** December 17, 2021 **What do you like best about KNIME?** The drag and drop, which makes it easy to use. I also like the light system that tells you the status of each step. I also like the fact that it is very flexible and it is great to experiment without significant risk of messing up the process. **What do you dislike about KNIME?** The only thing I would say I disliked is the fact that once you have done your analysis, to share the analysis has some restrictions which you must then pay for. But I guess that's what they have to do to make money. **What problems is KNIME solving and how is that benefiting you?** We have to analyze our user data as well as data from other organizations that are sent to use. We need to do separate and combined analysis and produce quarterreports. ### 16. Optimized data analytical software **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** March 18, 2022 **What do you like best about KNIME?** It is a open source software which gives an advantage of not using much space in system and we can perform data sorting and other activities easily and timely for the client **What do you dislike about KNIME?** It has limited features for data analytics which makes it less popular among users. And people prefer other softwares. If the company makes some more features in this than it will pe popular **Recommendations to others considering KNIME:** If you are new to data analytics then must try this software for building better understanding about the data sets and other features **What problems is KNIME solving and how is that benefiting you?** I have used this software for data sorting and cleaning for large data sets. And made some unique features from this to help my understanding ### 17. Handling our overall Analytical Needs **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Electrical/Electronic Manufacturing | Mid-Market (51-1000 emp.) **Reviewed Date:** January 04, 2022 **What do you like best about KNIME?** Data Mining : Well this is the best feature they offer. Usually, through our API, we were feedinbg around 2 GB worth of data every day. Slicing, dicing and all other data mining can be done smoothly. **What do you dislike about KNIME?** Not Beginner Friendly: To be honest I'm actually quite proficient in this software. However, if I think from my intern's perspective I would say this software is very complicated. **What problems is KNIME solving and how is that benefiting you?** Before implementing KNIME we were using SAP BI. It does not have the required superfast slicing and dicing of data. So using KNIME not we are mining data easily. ### 18. KNIME an open source analytics platform **Rating:** 3.5/5.0 stars **Reviewed by:** Anurag S. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 27, 2019 **What do you like best about KNIME?** The best part about KNIME is that it is free of cost so if you are a beginner and you want to learn about how analytics tools work then this is probably the best tool to start with **What do you dislike about KNIME?** As it is an open source software so you might not get all the cool features you have in alteryx and other paid analytics tool. **Recommendations to others considering KNIME:** I would recommend KNIME to beginners who are trying hard to learn data analytics as it is an open source software and once you are good with it then you can switch to alteryx or other analytics tools. **What problems is KNIME solving and how is that benefiting you?** It helps me to extract data from source file, transform data and loading the data to create the data warehouse. It helped me to put constraints to the input data flow so i can get the required output. ### 19. Using Knime for quick data science experiments **Rating:** 3.5/5.0 stars **Reviewed by:** Zachary B. | Junior Data Analyst, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** April 25, 2019 **What do you like best about KNIME?** The program offers a vast amount of optionality for being able to create data science/analytics models without writing any code. It's very quick and easy to use. **What do you dislike about KNIME?** It can be difficult to find certain functionalities within the program. Additionally, it does struggle with larger datasets and seem to choke **Recommendations to others considering KNIME:** I have enjoyed using this product, Knime, more so than SAS, RapidMiner and other similar visual analytics BI platforms **What problems is KNIME solving and how is that benefiting you?** We use Knime for quick experiments to determine what type of model we will build, how it will be built and have a rough approximation for performance ### 20. Data Analytics tool anyone can use. No programming skills are required **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consumer Electronics | Enterprise (> 1000 emp.) **Reviewed Date:** June 30, 2019 **What do you like best about KNIME?** Ease of use, variety of nodes and functions, its integrity with Cloud platforms, possibility to implement Python, R, Java scripts. Its good that you can see the model visually, as doing ETL. That's a big plus compared to other tools and scripting. **What do you dislike about KNIME?** Its already slow as cost of friendly UI and becomes even slower as you install extensions. Not to mention opening the software takes a lot of time too. **Recommendations to others considering KNIME:** Good tool to learn Data Analytics and disseminate the knowledge within the company, however its best to learn Python / R additional to KNIME to be capable of everything within KNIME. **What problems is KNIME solving and how is that benefiting you?** Reporting, Data Analytics, Data Manipulation, Advanced Analytics and Prediction ### 21. Great app. Just some annotations **Rating:** 4.0/5.0 stars **Reviewed by:** Monica M. | ingeniera industrial, Enterprise (> 1000 emp.) **Reviewed Date:** March 06, 2019 **What do you like best about KNIME?** The capability to design a large number of tasks with the software, covering the processing of the information all the way down. **What do you dislike about KNIME?** Some of the options are not exactly what I used to need to process the information. The fluxes have (in a certain way) a limited amount of configuration options. **Recommendations to others considering KNIME:** It is a great option to gain knowledge from the information that circulates throughout your company 24/7. **What problems is KNIME solving and how is that benefiting you?** At my place, I use it to process the clients' information to gain some knowledge about their behavior. ### 22. Great open source multi platform application for analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Ken K. | Support Technician, Enterprise (> 1000 emp.) **Reviewed Date:** July 17, 2019 **What do you like best about KNIME?** It's really great to have an easy to use GUI, compared to other open sourced applications that utilize the same data **What do you dislike about KNIME?** Certain API functionality still needs to be improved, primarily image mining plugins **What problems is KNIME solving and how is that benefiting you?** We use this primarily for creating data flows, integrating with mysql for our infrastructure analytics. ### 23. User Friendly, Audit Friendly **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in E-Learning | Enterprise (> 1000 emp.) **Reviewed Date:** October 28, 2018 **What do you like best about KNIME?** - Data wrangling is easily manageable - Clear cut motions for running different models and exporting results - Lots of different applications - Drag and drop functionality rocks **What do you dislike about KNIME?** - R function is hard to bring in - Data / findings output formatting needs to be updated for presentations **What problems is KNIME solving and how is that benefiting you?** - Sentiment Analysis--> Seamless audit - Predictive Modeling - Keeping different analyses in one place without having to parse through code ### 24. Intuitive and effective tool for data analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 04, 2018 **What do you like best about KNIME?** Drag and drop analysis helps faster and effective analysis flow. Graphical user interface makes it easy to plan processes and organize projects. You can work together with teams at the same time. **What do you dislike about KNIME?** Lack of technical support in the free version. Costing needs to be more economical. **Recommendations to others considering KNIME:** Highly effective and easier than other alternatives such as Rapid Miner. **What problems is KNIME solving and how is that benefiting you?** Workflow analysis is made simpler and effective with KNIME. We can use it with Python and R as well as integration with Weka. ### 25. Nice GUI based data analytics platform **Rating:** 4.0/5.0 stars **Reviewed by:** Pranamesh C. | Graduate Research Assistant, Civil Engineering, Enterprise (> 1000 emp.) **Reviewed Date:** July 12, 2018 **What do you like best about KNIME?** The best thing of Knime is it is open source and simple GUI based platform which makes it very easy to learn and implement. **What do you dislike about KNIME?** Although the GUI feature makes it very easy to implement simple models, however on the downside it is hard to build complicated models sometimes. **Recommendations to others considering KNIME:** Good to test out first if it helps for your task. It is easy to implement the initial models, **What problems is KNIME solving and how is that benefiting you?** We used Knime for real-time analysis of traffic data. ### 26. Knime software **Rating:** 4.0/5.0 stars **Reviewed by:** Prashanth p. | Data Science Analyst, Oil & Energy, Enterprise (> 1000 emp.) **Reviewed Date:** March 11, 2018 **What do you like best about KNIME?** Knime is used for data cleaning, data manipulation and predictive modeling. We do have a lot of softwares for playing around data but everything comes with a price except knime. So, it’s a free platform to manage the data. **What do you dislike about KNIME?** The only thing that I don’t like in knime software is its interface, it’s kind of old. **Recommendations to others considering KNIME:** I think they should implement more features in data reduction **What problems is KNIME solving and how is that benefiting you?** I generally do all stuff related to data cleaning, data manipulation and building predictive models. ### 27. Knime is a very useful tool for data processing **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** June 23, 2018 **What do you like best about KNIME?** Scalability through sophisticated data handling (intelligent automatic caching of data in the background while maximizing throughput performance) Highly and easily extensible via a well-defined API for plugin extensions Intuitive user interface Import/export of workflows (for exchanging with other KNIME users Parallel execution on multi-core systems **What do you dislike about KNIME?** I don't dislike it it's really great as it provides features listed above. **What problems is KNIME solving and how is that benefiting you?** Machine learning and data analytics . ### 28. Good Open Source Software.KNIME can help solve common business problems **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Leisure, Travel & Tourism | Enterprise (> 1000 emp.) **Reviewed Date:** December 29, 2017 **What do you like best about KNIME?** ease of use. drag and drop interface. No need to write code for beginners.KNIME can help solve common business problems like clustering, segmentation, forecasting etc with ease using their drag n drop interface. **What do you dislike about KNIME?** First time users might find it complicated given the interface as its a bit confusing. KNIME can help solve common business problems like clustering, segmentation, forecasting etc with ease using their drag n drop interface. **What problems is KNIME solving and how is that benefiting you?** KNIME can help solve common business problems like clustering, segmentation, forecasting etc with ease using their drag n drop interface. ### 29. Fast model prototyping **Rating:** 3.5/5.0 stars **Reviewed by:** Raul G. | Small-Business (50 or fewer emp.) **Reviewed Date:** July 21, 2017 **What do you like best about KNIME?** The graphical user interface is quite intuitive, allowing you to visualize your model graphically and see the flow of data/information **What do you dislike about KNIME?** It may not be as flexible as other platforms such as tensorflow, but this is compensated by KNME's range of options. **What problems is KNIME solving and how is that benefiting you?** Analysis of large sets of data with banking customer information in order to spot profiles, product usage trends and so on. The ease of visualization makes this a great platform to share insights with non-experts. ### 30. Free pipeline pilot **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) **Reviewed Date:** December 18, 2017 **What do you like best about KNIME?** Knife is great because it’s open source. Biovia’s pipeline pilot is an excellent tool for data processing, but is very expensive and has very little user support.knime is great because downloadable protocols are freely available **What do you dislike about KNIME?** Knime can be a little glitchy from time to time **What problems is KNIME solving and how is that benefiting you?** Data processing and manipulation ### 31. Not so easy to use **Rating:** 3.5/5.0 stars **Reviewed by:** Stefano C. | Analytics Director, Internet, Mid-Market (51-1000 emp.) **Reviewed Date:** October 25, 2017 **What do you like best about KNIME?** Analytics section, database connection and Social media area **What do you dislike about KNIME?** Views could be better in order to show off. Not so easy to use **Recommendations to others considering KNIME:** It could be useful, but not so easy **What problems is KNIME solving and how is that benefiting you?** Complex Analysis ## KNIME Discussions - [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment - [View KNIME pricing details and edition comparison](https://www.g2.com/products/knime-analytics-platform/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+11%3A08%3A05+-0500&secure%5Bsession_id%5D=606230d4-7491-400e-9e8a-c2d391a47edf&secure%5Btoken%5D=ff3495c5212af33456ffd6dce1110660626f34659c542b89b8dd6ebd6c167474&format=llm_user) ## KNIME Integrations - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews) - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) - [APACHE](https://www.g2.com/products/apache/reviews) - [Box](https://www.g2.com/products/box/reviews) - [Claude](https://www.g2.com/products/claude-2025-12-11/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Deepseek](https://www.g2.com/products/deepseek/reviews) - [Gemini](https://www.g2.com/products/zen-healthcare-it-gemini/reviews) - [Google Analytics](https://www.g2.com/products/google-analytics/reviews) - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews) - [Microsoft 365](https://www.g2.com/products/microsoft365/reviews) - [Microsoft Access](https://www.g2.com/products/microsoft-access/reviews) - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews) - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews) - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews) - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) - [MongoDB](https://www.g2.com/products/mongodb/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [Neo4j Graph Data Science](https://www.g2.com/products/neo4j-graph-data-science/reviews) - [Ollama](https://www.g2.com/products/ollama/reviews) - [Openai](https://www.g2.com/products/openai/reviews) - [OpenStreetMap](https://www.g2.com/products/openstreetmap/reviews) - [OrientDB](https://www.g2.com/products/orientdb/reviews) - [pgAdmin](https://www.g2.com/products/pgadmin/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Python](https://www.g2.com/products/python/reviews) - [SAP BW/4HANA](https://www.g2.com/products/sap-bw-4hana/reviews) - [SAP Cloud ERP (SAP S/4HANA Cloud)](https://www.g2.com/products/sap-cloud-erp-sap-s-4hana-cloud/reviews) - [SAP ECC](https://www.g2.com/products/sap-ecc/reviews) - [Shopware](https://www.g2.com/products/shopware/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - [Yandex Maps API](https://www.g2.com/products/yandex-maps-api/reviews) ## KNIME Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards - Customizable Reports - Marketing Reports - Sales Reports - Activity Dashboard - Interactive Reports - Customizable Reports - Customizable Reports - Activity Dashboard - Customizable Dashboard **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Administration** - Quality Control - Data Sampling - Collaboration - Multiple Data Sources - Real-Time Data - Statistical Process Control **Management** - Reporting - Auditing **System** - Data Ingestion & Wrangling - Real-Time Data **Data Preparation** - Connectors - Data Governance **Responses** - Personalization - Route To Human - Natural Language Understanding (NLU) - Multi-Language **Automation - AI Agents** - Sales Follow-Up - Customer Interaction Automation - Lead Generation - Document Processing - Feedback Collection - Natural Language Processing - Simulation and Scenario Generation **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails - API Security - Data Security - Authentication **Data Ingestion & Preparation - Low-Code Machine Learning Platforms** - Automatic Data Profiling & Quality Assessment - Multi‑Source Connector Support - Schema Drift / Change Detection **Data Connectivity and Prep - Agentic Analytics** - Data Source Connectivity - Automated Data Preparation **Statistical Tool** - Scripting - Data Mining - Algorithms **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training - Database Support - Multi-Language **Data Interaction** - Profiling and Classification - Metadata Management - Data Modeling - Data Joining - Data Blending - Data Quality and Cleansing - Data Sharing - Data Governance **Capabilities** - Data Visualization - Survival Analysis - Risk Data Attributes - Cost Analysis - Multivariate Analysis - What-if Analysis - Statistical Analysis - Bayesian Analysis - Trend Analysis - Regression Analysis **Functionality** - Extraction - Transformation - Loading - Automation - Scalability - Non-Relational Transformations - Data Extraction **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending - Data Capture and Transfer **Platform** - Conversation Editor - Integration - Human-In-The-Loop - Drag & Drop Editor - Human-in-the-loop (HITL) **Autonomy - AI Agents** - Independent Decision Making - Adaptive Responses - Task Execution - Problem Solving **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation - Multimedia Support - Multi-Modal Input Support **Model Construction & Automation - Low-Code Machine Learning Platforms** - Guided Algorithm & Hyperparameter Recommendation - Code Extensibility - Automated Feature Engineering **Autonomous Insight Generation - Agentic Analytics** - Continuous Pattern Detection - Multi‑Step Reasoning - Predictive & Prescriptive Analytics **Additional Functionality** - Data Mapping - Monitoring - Charting - Integration Management - Reporting/Analytics - Ad hoc Analysis - Access Controls/Permissions - API - Match & Merge - Real-Time Monitoring - Metadata Management - Pipeline Management - Job Scheduling - Dashboard Creation - Data Storage Management - Multiple Data Sources - Data Import/Export - Generative AI - Data Quality Control - Data Connectors - Customizable Reports - Single Sign On - Version Control - Visual Analytics - Accounting Integration - Real-Time Data - eCommerce Management - AI Copilot - CRM - Data Visualization - SSL Security - Search/Filter - Real-Time Analytics - Data Capture and Transfer - Collaboration Tools - Performance Management - Data Synchronization - Drag & Drop - Data Replication - Activity Dashboard - Database Support - Workflow Management - Alerts/Notifications - Predictive Analytics - Data Migration - Third-Party Integrations - Reporting & Statistics - Data Analysis Tools **Data Analysis** - Analysis - Data Interaction - Time Series Analysis - Trend Analysis **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Data Exporting** - Breadth of Integrations - Ease of Integrations - Data Workflows **Methodology** - ANOVA Support - Regression - Time Series Analysis **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Generative AI** - AI Text Generation - AI Text Summarization **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **Agentic AI - AI Agents** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Interaction and Workflow - Agentic Analytics** - Natural Language Query and Conversational Analytics - Action Triggering & Workflow Orchestration - Explainability & Audit Trails **Additional Functionality** - Agent Collaboration - Data Governance - Prompt Engineering - Feedback Management - For No-Code Development - Version Control - Role-Based Permissions - Dynamic Modeling - API - Memory Management - Monitoring - Scalability - Cost Management - Scheduling - Natural Language Interface - Access Controls/Permissions - Multiple LLM Models - Integration Management - Customizable Frameworks - Pre-built Templates - Analytics - Intent Recognition - Contextual Guidance - Rules-Based Workflow - Attended Automation - Drag & Drop - For Sales/Marketing - Generative AI - Business Process Automation - AI Copilot - Third-Party Integrations - Multi-Channel Communication - Sentiment Analysis - Deep Learning - Code-free Development - Compliance Management - Automated Responses - Knowledge Management - Transfers/Routing - Personalization - Activity Dashboard - Customer Experience Management - Virtual Personal Assistant (VPA) - Chatbot - Speech Recognition - Reporting/Analytics - Task Management - Customer Engagement - AI/Machine Learning - Configurable Workflow - Unattended Automation - Conversation Intelligence - Workflow Automation - Proactive Error Detection **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification - Customizable Reports **Deployment** - Managed Service - Application - Scalability **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Generative AI** - AI Text Generation - Generative AI **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration - Third-Party Integrations **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations **AI Agent Management - Agentic Analytics** - Agent Configuration & Goals - Continuous Learning & Feedback **Additional Functionality** - Customizable Reports - Collaboration Tools - Data Extraction - Semantic Search - Data Storage Management - Ad hoc Reporting - Reporting/Analytics - Predictive Analytics - Activity Dashboard - Access Controls/Permissions - Visual Analytics - Data Mapping - Data Synchronization - Statistical Analysis - Categorization/Grouping - Trend Analysis - Data Profiling - Linked Data Management - Data Visualization - API - Multiple Data Sources - Sentiment Analysis - Search/Filter - Data Import/Export - Data Capture and Transfer - AI Copilot - Monitoring - Data Connectors - Ad hoc Analysis - Text Mining - Reporting & Statistics - Predictive Modeling - Real-Time Analytics - Configurable Workflow - Tagging - Endpoint Management - No-Code - Data Preparation - Auditing - Big Data Analytics - ML Algorithm Library - Data Management - Activity Tracking - Data Security - Workflow Management **Additional Functionality** - Data Analysis Tools - AI/Machine Learning - Data Extraction - Reporting/Analytics - AI Copilot - Data Mapping - ETL - Big Data Analytics - Data Quality Control **Additional Functionality** - Compliance Tracking - Real-Time Reporting - Statistical Simulation - Forecasting - Neural Network Modeling - Visual Analytics - Access Controls/Permissions - Data Connectors - Customizable Reports - Drag & Drop - Self Service Data Preparation - Performance Metrics - Data Transformation - Activity Dashboard - Data Extraction - Reporting/Analytics - Predictive Analytics - API - AI Copilot - Association Discovery - Ad hoc Reporting - Reporting & Statistics - Third-Party Integrations - Customization - Search/Filter - Monitoring - Data Clustering - Data Import/Export - SSL Security - File Storage - Decision Tree - Multiple Scoring Models **Additional Functionality** - Version Control - Scalability - Personalization - Data Extraction - Webhooks - API - Natural Language Processing - Fallback Handling - Drag & Drop - Multiple LLM Models - Built-in AI Assistant - Automated Testing - Data Governance - Collaboration Tools - Pre-built Templates - Agent Design Tools - Deep Learning - Model Training - Analytics - Single Sign On - Debugging - Deployment Management - Proactive Error Detection **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling - Natural Language Search - Visual Discovery - Data Blending - Data Blending **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image - Generative AI **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity - Multiple Data Sources - Query Builder **Additional Functionality** - Demand Forecasting - AI/Machine Learning - Drag & Drop - For Healthcare - Forecasting - Data Extraction - Third-Party Integrations - Decision Support - Modeling & Simulation - Alerts/Notifications - Reporting/Analytics - Multiple Data Sources - For Retail - For Education - Data Discovery - Graphical Workflow Editor - Performance Metrics - Business Rules Management - AI Copilot - Natural Language Processing - Data Transformation - Data Clustering - API - Data Blending - Data Classification - Workflow Management - Workflow Automation **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services - Real-Time Analytics - Reporting/Analytics - Real-Time Analytics - Reporting/Analytics - Visual Analytics **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making - Third-Party Integrations **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support - Database Support **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics - Ad hoc Query - Visual Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Additional Functionality** - Drag & Drop - Secure Data Storage - Data Import/Export - Customizable Branding - Dashboard Creation - Access Controls/Permissions - Real-Time Reporting - Metadata Management - Forecasting - Data Storage Management - Ad hoc Analysis - Ad hoc Reporting - Data Migration - AI Copilot - Self Service Data Preparation - Search/Filter - Data Mapping - Monitoring - Sentiment Analysis - User Management - Sales Trend Analysis - Charting - Reporting & Statistics - Performance Metrics - Alerts/Notifications - Data Extraction - Widgets - Storytelling - Trend Analysis - Collaboration Tools - Financing Management - Self-service Analytics - KPI Monitoring - Dashboard - API - Data Integration - Scorecards - Data Management - Task Management - Progress Tracking - Data Connectors - Data Visualization - Profitability Analysis - Project Tracking - Strategic Planning - Goal Setting/Tracking - Publishing/Sharing - Predictive Analytics - Real-Time Monitoring - Templates - Mobile Access - Customizable Templates - Workflow Management - Financial Reporting - Audit Management - OLAP - Single Sign On - Data Synchronization ## Top KNIME Alternatives - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (860 reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) - 4.4/5.0 (213 reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,680 reviews)