--- title: KNIME Reviews meta_title: 'KNIME Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 102 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: 102 scale: '5' date_modified: '2026-07-17' 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:** 102 ## 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. 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. ### 2. Very powerful software for analytics and provide instant support. **Rating:** 5.0/5.0 stars **Reviewed by:** Nitin B. | Technical Consultant, Mid-Market (51-1000 emp.) **Reviewed Date:** March 07, 2023 **What do you like best about KNIME?** Very user-friendly, has immediate results, and is easy to use. Data engineering, science and visualization tools. **What do you dislike about KNIME?** Some challenges while solving the problems. R&D for the unique cases shall be difficult. **What problems is KNIME solving and how is that benefiting you?** Solving data science problems with plug-and-play activities. Drag and drop; it is like a no-code platform ### 3. KNIME Analytics Platform Review **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Information Services | Mid-Market (51-1000 emp.) **Reviewed Date:** April 12, 2023 **What do you like best about KNIME?** Knime has the drag-and-drop option, which helps me to work on complex data. It also helps me work efficiently, as exporting data from an Excel file is accessible. **What do you dislike about KNIME?** As a beginner it can be challenging to navigate and learn how to use the platform. **What problems is KNIME solving and how is that benefiting you?** I can automate the work, and exporting and transferring data is also easy. Working with complex data has been made easy. ### 4. 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 ### 5. 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 ### 6. 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. ### 7. My review for Knime **Rating:** 4.5/5.0 stars **Reviewed by:** Palak C. | Student Trainee, Enterprise (> 1000 emp.) **Reviewed Date:** June 20, 2022 **What do you like best about KNIME?** It is a very good platform for drawing graphs from descriptors and setting correlations **What do you dislike about KNIME?** It is not easy to learn how to use Knime and very less guidance is provided in its help section **What problems is KNIME solving and how is that benefiting you?** I am using it to set correlations between nanocrystals by making graphs through knime ### 8. 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. ### 9. 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. ### 10. 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 ### 11. Very good tool for automating data cleansing and blending **Rating:** 4.5/5.0 stars **Reviewed by:** Peter V. | Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 22, 2021 **What do you like best about KNIME?** I like that there are many out of the box nodes that make cleaning, blending and manipulating data very easy. Each node is configurable in there own way. There also integrations with other third party platforms such as Office 365. **What do you dislike about KNIME?** I don't like how there are sometimes the need to use multiple nodes to build out something really simple. However, this keeps the thought process sequential and simple. **Recommendations to others considering KNIME:** Identify what manipulation is currently done manually and try to frame the problem using KNIME nodes. If it's a database source, you'll have to connect it using a JDBC driver that is compatible with the source database system. **What problems is KNIME solving and how is that benefiting you?** Data blending and cleansing from multiple sources (on premise, cloud) ### 12. 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. ### 13. Open Source Report and Analysis **Rating:** 4.5/5.0 stars **Reviewed by:** Nairoby E. | Software engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 11, 2021 **What do you like best about KNIME?** Specific functions, statistics and specific calculations, automatic learning with Artificial Intelligence and integrated prediction algorithm. **What do you dislike about KNIME?** Running the system with different modules requires a lot of system resources, requires more program optimizations. **Recommendations to others considering KNIME:** Data analysis and tool for all functions in system interface. **What problems is KNIME solving and how is that benefiting you?** Load data into the warehouse, optimal workflow and run prediction models. ### 14. The powerful application for data analytic and machine learning **Rating:** 5.0/5.0 stars **Reviewed by:** Muhammad F. | Techpreneur, Small-Business (50 or fewer emp.) **Reviewed Date:** June 11, 2021 **What do you like best about KNIME?** A lot of nodes ans extensions, easy to use and powerful. **What do you dislike about KNIME?** Heavy, need high spec memory to run this application. **Recommendations to others considering KNIME:** Use this application for machine learning, programming language not required such as R or Phyton **What problems is KNIME solving and how is that benefiting you?** Data analytic without programming language. ### 15. The best tool for the integrated knowledge of the organization from start to finish **Rating:** 5.0/5.0 stars **Reviewed by:** Juan Carlos P. | Enterprise (> 1000 emp.) **Reviewed Date:** November 23, 2020 **What do you like best about KNIME?** It is a tool from start to finish from file management, through statistics, machine learning, deep learning, selenium rpa, artificial intelligence, process automation, databases and ETL, integration with Python and R, advanced analysis, teamwork, parallelization, real big data; great **What do you dislike about KNIME?** nothing , is a good tool, the ability to process video in real time **Recommendations to others considering KNIME:** the time that has been saved on artificial intelligence and analytics issues has been quite a lot compared to traditional tools, if the tool is handled properly to a large percentage the results are incredible **What problems is KNIME solving and how is that benefiting you?** I have solved from inventory delivery problems, to neural network optimization, the time I have been able to save is too much compared to pure programming ### 16. Outdated, but gets work done **Rating:** 2.5/5.0 stars **Reviewed by:** Kshitij M. | Implementation Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** May 11, 2021 **What do you like best about KNIME?** Easy to use low code no code drag and drop feature **What do you dislike about KNIME?** No ready to use analytics workflow available **Recommendations to others considering KNIME:** Better options are available for data cleansing, but knime is good if you're used to using drag and drop feature **What problems is KNIME solving and how is that benefiting you?** Data cleansing and formatting. Best utilised to work multiple formats and make them into a uniform worksheet ### 17. Great tool for predictive analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2018 **What do you like best about KNIME?** Great tool for predictive analytics. The examples provided with the software are a great way to learn this tool by your self. **What do you dislike about KNIME?** It is really difficult to prepare and clean data. **What problems is KNIME solving and how is that benefiting you?** It is great for machine learning. ### 18. Literally, thousands of modules **Rating:** 4.5/5.0 stars **Reviewed by:** Betty E. | IT Support Specialist, Computer & Network Security, Mid-Market (51-1000 emp.) **Reviewed Date:** October 24, 2019 **What do you like best about KNIME?** The program offers workflow checks, statistical and mathematical functions, algorithms for machine learning and sophisticated prediction algorithms. KNIME is extremely helpful in evaluating big quantities of information with sophisticated algorithms and codes without programming, since it utilizes block modules to accomplish graphical jobs. It is able to put the data processing to which you want to link your data in a certain order with others. **What do you dislike about KNIME?** Sometimes, I feel the UI is crowded, so it gets confusing to work on it. The language used in KNIME is simpler, but I generally find myself using R much less than usual, which is not good as I end up forgetting some basic coding skills. Another thing that I don't like is that it uses a bunch of memory on your desktop, which impacts the machine's general efficiency. **Recommendations to others considering KNIME:** With KNIME Advanced Analytics, you can monitor all adjustments produced to your workflows in a breeze. Since each company has distinctive business demands, you must exactly know yours in order to determine if KNIME is really the tool your company needs. Once you are fitted with this information to make the rightful purchasing choice, you will be good to go. **What problems is KNIME solving and how is that benefiting you?** In the IT department, KNIME Analytics is an extremely significant product. It has thousands of modules, a large variety of embedded instruments, ready-to-use models, and a full variety of sophisticated algorithms, so it is definitely the perfect toolbox for any analytical information researcher. ### 19. produce multivariated evaluations **Rating:** 4.5/5.0 stars **Reviewed by:** Marina S. | Information Technology Specialist, Internet, Mid-Market (51-1000 emp.) **Reviewed Date:** September 30, 2019 **What do you like best about KNIME?** KNIME's UI requires no programming skills, as you can just use the “drag and drop” without losing the flexibility in programming languages, since Python and R have nodes too. It also provides sturdy add-ons to promote integrations for data mining and time series analysis techniques. KNIME offers a wide variety of dynamic processes and supports several web reports. Also, the application for the desktop is open and free of charge. **What do you dislike about KNIME?** KNIME Analytics usually takes a while to initialize if you have several modules installed, so install only the ones you need at certain time, otherwise opening it on desktop may take more than 5 minutes. Also, KNIME does not integrate with a large list of software. Another thing are error messages, that sometimes are shown while jobs are being done, which interrupts my work. **Recommendations to others considering KNIME:** KNIME Analytics is very well suited for any company that works with analytical, in all type of analysis and automation of information. It will allow you to catalog different aspects, such as requirements, finances, the skills of workers, company size and so on, to make your analysis as accurate as possible. **What problems is KNIME solving and how is that benefiting you?** We use it mainly to produce multivariated evaluations and to locate quantitative relevance on variables. It is a scalable and intuitive company-level platform. Its graphical UI enhances usability and supports the creation of data flows and the implementation of specific analytical techniques. For me, KNIME makes analysis easy and customizable models, results and visuals. ### 20. Data analysis right away **Rating:** 4.5/5.0 stars **Reviewed by:** Daniela M. | Information Technology Specialist, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** September 12, 2019 **What do you like best about KNIME?** KNIME desktop is a powerful tool to create analytical workflows and is extremely helpful for the visual interface. It comes with multiple extensions which simplify text processing, which is a very hard to do on other similar platforms. To use this information in the IT department for manual processes, you do not need to be a data specialist. Also, in order to expand the features, you can purchase the KNIME server in the support community on KNIME's website. **What do you dislike about KNIME?** This is a software that is very complex and will take a while to learn. But they have many videos and examples, as well as a community of active support. Also, sometimes it can run slower when there are several nodes and extensions installed. **Recommendations to others considering KNIME:** KNIME Analytics Platform is well suited for professionals with a range of computational backgrounds. It enables you to compare and guarantee the security against accidental changes to changes made by a coworker of different versions. **What problems is KNIME solving and how is that benefiting you?** KNIME is generally a very good software for data analysis. It is excellent for computer partners and other employees if the team is able to address the issue of slowness. By pushing a button, KNIME turned manual tasks into fast and easy tasks to perform multiple commands in files. A modular data pipeline concept is adopted on the platform, using a Java Database Connectivity and an intuitive graphical UI to assemble nodes that connect various sources of data. ### 21. KNIME for information retrieval and advanced analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Carl H. | Machine Learning Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** August 07, 2019 **What do you like best about KNIME?** KNIME Analytics gives me the power to control exactly what happens to my data all the time, so I always take the best decisions when it comes to the management of my data and the results obtained from the analytics. It supports modern process, such as machine learning and the addition of external blocks, making it possible in a simple anD fast way. **What do you dislike about KNIME?** If you have never used a similar tool, KNIME may seem very hard to understand, so it will take a couple of months to learn. Also, when it comes to the community that provides support, most of them are not native english speakers, so it's hard to get in the same page when you're trying to reach for help. **Recommendations to others considering KNIME:** KNIME Analytics is well suited if you want to apply analytics with complex tools, such as multivariate regression using time series, and for information automation tasks. I have used similar tools, such as RapidMiner Studio, but I got to say that KNIME Analytics performs a lot better and brings great results. **What problems is KNIME solving and how is that benefiting you?** KNIME Analytics is one of the most important tools in my company, as it's used to solve many business problems, especially those involved in customer segmentation, information retrieval and advanced analytics. The risk analysis are very accurate and its calculations are really helpful in the development of model validation, especially those where we're using time series for low default portfolios. ### 22. Do dataset related tasks with SAS **Rating:** 4.5/5.0 stars **Reviewed by:** George B. | Information Technology Specialist, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** August 07, 2019 **What do you like best about KNIME?** KNIME's UI is very helpful that it really helps to make it look visually simply. I know a lot about coding, but some of my co-workers only have basic knowledge, and they still use KNIME with no problem, as it's not necessary to code if you want to perform data mining, and you can even obtain a graphic of the data being processed. On the other hand, if you know how to code and you're familiar with Python language, you can add new and functions to your analytical model in order to simplify your work. **What do you dislike about KNIME?** KNIME is a very hard software that's complex even for programmers and coders. However, you can find videos and documents online, created by the same community, that will guide you through the platform. Also, visualization is not good enough. I think it can improve in order to make it more visually comprehensive. **Recommendations to others considering KNIME:** KNIME is well-suited for enterprises looking for a tool that's easy to understand and has a low cost. It's important you have taken your time to determining how is your data acquisition and analytical model, so you can conclude which exact module of KNIME do you need to use. It's always a good idea to read the description of the modules until you find the one that's most suited for your needs. **What problems is KNIME solving and how is that benefiting you?** We use KNIME Analytics in daily basis to do dataset related tasks. It is used in the IT department, specifically by the DevOps division of the company. ### 23. 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. ### 24. Create actionable insights using KNIME Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** John H. | Information Technology Manager, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2019 **What do you like best about KNIME?** KNIME Analytics is a powerful tool for building analytical workflows. It provides many options for text parsing, especially CoreNLP and OpenNLP. Also, KNIME Analytics allows integration with open source software, such as R, Phyton and Spark. The software is free but you may purchase a server license to have a process run automatically with large amounts of data from many sources. There are built in tools for many types of supervised and unsupervised machine learning. **What do you dislike about KNIME?** KNIME Analytics is a very complex tool, so it has a steep learning curve. Another thing I don’t like about it is that it tends to use a lot of memory of your computer, which affects the general performance of the machine. KNIME Analytics is primary drag and drop and requires little to no coding. **Recommendations to others considering KNIME:** The tool is very intuitive with a lot of examples to learn. I would recommend it for members of the IT department with some deep software knowledge. You and your team must master R/Phyton in order to implement this solution effectively. **What problems is KNIME solving and how is that benefiting you?** The use of this platform is for NLP related tasks. We were able to build a reproducible workflow for analyzing our data and creating actionable insights by just using KNIME Analytics. It was deployed in my company 2 years ago and it has proved to be a high-value predictive analytics tool, as well as an accurate way to find patterns as a data mining tool. ### 25. Press a single button and run multiple commands **Rating:** 4.5/5.0 stars **Reviewed by:** Elias F. | Information Technology Staff, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2019 **What do you like best about KNIME?** KNIME Analytics is very useful to analyze large data quantities with advanced algorithms. Also, you are able to code without programming because can use block modules that do a specific tasks. It comes with several extensions that make text processing an easy process, something that’s a headache in other similar platforms, and with extensions to integrate other tools, like R, into the workflows. Use and integrate with cloud and big data environments. **What do you dislike about KNIME?** You actually need more help than provided by block description if you want to do complex data analysis work. The user of KNIME Analytics needs to have a deep knowledge about R/Phyton in order to get the best out of the statistical analysis. If you want to do advanced data analysis and classification, it's mandatory to have engineering knowledge. There are some features that are not intuitive, such as how to use flow variables. **Recommendations to others considering KNIME:** Recommended for coders with some deep knowledge of R/Python. Yes, you can get a free RapidMiner license to process up to 50,000 lines of data, but this is not enough for big projects. Also, Consider KNIME Analytics does not replace a regular reporting tool. **What problems is KNIME solving and how is that benefiting you?** With KNIME Analytics Platform we have turned manual tasks in easy and fast ones by just pressing a button to run multiple commands. We mainly use it for creating multivariate analysis and finding statistical significance of variables. ### 26. Advanced data analysis and AI **Rating:** 4.5/5.0 stars **Reviewed by:** Jonathan G. | IT Manager, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** July 18, 2019 **What do you like best about KNIME?** When we had to go through data sources with tons of data, transforming the raw data for analysis was always the hardest part. With KNIME, this process can be automated, while the data acquisition model can be saved and run repeatedly, which saves a lot of time. It also provides a wide range of options for integration, allowing multiple languages like Python, R or Java and supporting formats like JSON and XML. What I like is that I can process large quantities of data while data cleansing and blending of tables can still be done very easily. **What do you dislike about KNIME?** KNIME Documentation is poor, so it’s hard to find serious ans straightforward information out there. If you have any doubt, you may find yourself struggling to find a solution. Also, some tools for script writing and development are not easy to use, so you have to run tests to see how they perform, or some of them don't have enough features. **Recommendations to others considering KNIME:** KNIME Analytics Platform is a great software for data ingestion given various formats. I think it would a great fit for medium size or big companies which have to handle with complex data analysis. If you want to use for experimentation in the AI area, this will work very well too. **What problems is KNIME solving and how is that benefiting you?** We have been using KNIME in the IT department for advanced data analysis and experiments in the machine learning field. Also, we have used it on client data analysis for running prediction models. ### 27. 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 ### 28. Great software to learn machine learning **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** October 14, 2019 **What do you like best about KNIME?** Knime is a great software for creating and testing machine learning models using blocks that contain implementations of algorithms used for a wide range of problems such as classification, regression, and clustering. **What do you dislike about KNIME?** There is nothing negative about this software. I found it very good to use it. **What problems is KNIME solving and how is that benefiting you?** I used KNIME to solve machine learning problems like classification and regression. KNIME is a great tool to study machine learning from the method point of view rather than implementation. ### 29. Great data analysis and predictive analysis tool **Rating:** 5.0/5.0 stars **Reviewed by:** Jackson D. | Infrastructure Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2019 **What do you like best about KNIME?** Very useful for analyzing large data sets. It's very easy to use but still very powerful for creating detailed charts. **What do you dislike about KNIME?** If you are not familiar with R or python this tool will be very difficult to use. It may be nice to have some additional UI to supplement users without this experience **What problems is KNIME solving and how is that benefiting you?** We use this primarily data analysis on our large complex data that we retrieve from our internal application usage ### 30. 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 ### 31. 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. ### 32. 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. ### 33. Used it for etl, data cleansing, data preparation and analys **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** April 09, 2019 **What do you like best about KNIME?** It’s capabilities to quickly sourcing data , preparing it and making it analytical rrasy **What do you dislike about KNIME?** It’s not scaled for larger data sets. It slows down or sometimes even crash. Also it won’t integrate with all the database providers **What problems is KNIME solving and how is that benefiting you?** Cash flow , data quality issues , finance forecasting ### 34. Powerful & Easy to Use Predictive Analytics / Data Mining **Rating:** 5.0/5.0 stars **Reviewed by:** Bob M. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** June 27, 2017 **What do you like best about KNIME?** KNIME offers a delightful blend of power and ease-of-use. It uses a workflow (flowchart) interface. It offers you a collection of icons that represent steps in your analysis. You position each icon in a diagram and connect them with arrows that represent the flow of data or models from step to step. Double-clicking on an icon will open a dialog box allowing you to set the parameters of how that step should run. You can document the workflow by clearly labeling each step, and by color coding entire sections of the diagram. As a result, you can look at another person's analysis and quickly get the big picture of what was done. If a diagram gets too complex, you can select a whole section of it and collapse it into a "metanode" so that one icon then represents all the steps. It's also easy to rerun an analysis on new data by simply changing the node(s) that read in data. Note that KNIME does not have a scripting language, nor does it need one. I particularly like the company's view of open source software. The full desktop version of KNIME is free and open source, regardless of how much data you have. Its closest competitor price-wise is RapidMiner, which is free only if you have fewer than 10,000 cases. KNIME also offers excellent integration with a wide range of other open source software such as: Python, R, Spark, and even ImageJ for image analysis. The server version of KNIME has a commercial license, i.e. not free. The company also sells software to let work groups share node libraries. For example, if I develop a new node in, say, R, and email it to everyone, then when I improve it, I'll have to email it again. Everyone using it would have to edit their work flows, but at least that's a free solution. However, if we purchase the collaboration extensions, I would make a change to the shared node, and everyone's work would be updated automatically. I appreciate having so much control over what to spend on a KNIME solution. **What do you dislike about KNIME?** For data mining or machine learning tasks, it's quite comprehensive, very similar to what RapidMiner, SAS Enterprise Miner, or SPSS Modeler can do. However, compared to a full statistics package such as R, SAS, SPSS, or Stata, it's lacking quite a few statistical methods. You would have to lean on R or Python if you need statistical analysis rather than data mining. Each new version of KNIME adds more statistics, but it looks like it will be quite a while before they can offer full statistical capabilities. Unfortunately, no one tool offers comprehensive data mining, statistical modeling, and ease-of-use. In the ratings section, I'm giving it full marks as a data mining / machine learning tool. **Recommendations to others considering KNIME:** Make sure it has all the methods of analysis you need. If you're into data mining or machine learning, it's probably sufficient. If you're looking for advanced stat methods such as mixed effects linear models, you'll need to run that through an R node. **What problems is KNIME solving and how is that benefiting you?** You can use KNIME to solve most any data mining or machine learning problem. ### 35. 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 ### 36. 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. ### 37. 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. ### 38. Data mining made easy **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2018 **What do you like best about KNIME?** The data mining options, in particular the features for analysis using clustering (k-medoids, k-means, hierarchical, etc.) are extremely handy. They remove a lot of middle-man coding! **What do you dislike about KNIME?** I would appreciate more visualization and exporting capabilities. For instance, the ability to easily visualize the clusters produced with k-medoids, with medoids labeled. **Recommendations to others considering KNIME:** Make sure to explore all of the features in the node repository and use the search bar. There is a lot of functionality in KNIME! **What problems is KNIME solving and how is that benefiting you?** I have used KNIME to perform unsupervised learning on large time series data. I saved a lot of time by not having to create my own code for clustering techniques. The information on clusters+medoids exported by KNIME was easy to understand. ### 39. 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. ### 40. Tools for data science analyis **Rating:** 4.5/5.0 stars **Reviewed by:** Chang-I W. | EMC test Engineer, Consumer Electronics, Small-Business (50 or fewer emp.) **Reviewed Date:** January 05, 2018 **What do you like best about KNIME?** It has a simple interface and not hard to learn it with very clear block diagram design for each block By the way, it's easy to debug and has very direct set for each block. You can also set up for the block diagram the way you like and rearrange it anytime you want. **What do you dislike about KNIME?** hard to import new function if want to add a new block. and it will become very slow when the database coming over 10 thousand **Recommendations to others considering KNIME:** it's easy to learn and have lots powerful toolkit in it. very recommend **What problems is KNIME solving and how is that benefiting you?** data science and data analysis. can use the different algorithm to calculate and predicted the result from the database. ### 41. 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 . ### 42. KNIME PLATFORM REVIEW **Rating:** 5.0/5.0 stars **Reviewed by:** ALI S. | Linux System Administrator, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** December 30, 2017 **What do you like best about KNIME?** In Knime, each node stores its results permanently and thus work flow execution can easily be stopped at any node and resumed later on. **What do you dislike about KNIME?** Even though the knime software is very promising and really helps us with alot of things and we love it but the preliminary results are not available quickly if the real pipeling were used. **Recommendations to others considering KNIME:** For our company, purchasing knime was a very positive decision. We love the product and the results it gives. For people who are considering purchasing it, i would highly recommend to go for it. **What problems is KNIME solving and how is that benefiting you?** knime is a data analytics platform and it allows to perform sophisticated statistics and data mining on your data to analyze trends and predict potential results ### 43. KNIME MIME **Rating:** 5.0/5.0 stars **Reviewed by:** Shannon C. | Network Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 07, 2018 **What do you like best about KNIME?** I like that it allows me to create data flows visually and very selectively run steps to throughout interactive models. **What do you dislike about KNIME?** Knime doesn’t really have to much of a background knowledge on how to use it so it can be very tricky at first **Recommendations to others considering KNIME:** Very tricky to use without looking it up **What problems is KNIME solving and how is that benefiting you?** We are using knime with java script to run interactive models in a team setting ### 44. 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. ### 45. 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. ### 46. KNIME platform review **Rating:** 4.5/5.0 stars **Reviewed by:** Afeez A. | Field Service Engineer, Construction, Small-Business (50 or fewer emp.) **Reviewed Date:** November 15, 2017 **What do you like best about KNIME?** The installation and setup is easy and the screencasts also help make first time usage easier. **What do you dislike about KNIME?** The user inter-phase looks a bit old school should be revamped to look more up to date. **Recommendations to others considering KNIME:** It is one of the best, easy to use and sophisticated data Analytics software **What problems is KNIME solving and how is that benefiting you?** Data Analytics ### 47. Quality of data **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Market Research | Mid-Market (51-1000 emp.) **Reviewed Date:** January 11, 2018 **What do you like best about KNIME?** graphical workbench help you create data preparation workflows, data analysis workflows, and machine learning workflows. Very functional in creating multitude of Nodes , DataFlow maximized the data processing capabilities **What do you dislike about KNIME?** time to get accustomed with this platform; not always easy to use **Recommendations to others considering KNIME:** Would recommend **What problems is KNIME solving and how is that benefiting you?** speeds up the workflow process, helps with the large data and their effective computing ### 48. 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 ### 49. An open source analutical platform **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** December 22, 2017 **What do you like best about KNIME?** Analytics Platform is matured and it being Open Source makes it more attractive for new modernization initiatives across the organizations. Design is nice also **What do you dislike about KNIME?** Easy to implement, but a little hard to implement secruity around the tool **What problems is KNIME solving and how is that benefiting you?** We used this software for data analytics, reporting and integrations. ### 50. 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?page=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-18+06%3A52%3A10+-0500&secure%5Bsession_id%5D=6cf466d5-f2df-4a7a-9adb-2ab8b1315956&secure%5Btoken%5D=4233094c1b2a5a8a0215f31d937b3aca986e9478f0a7f8f18411f66a893f2f99&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) - [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 **Data Source Access** - Breadth of Data Sources - Ease of Data Connectivity - API Connectivity **Administration** - Quality Control - Data Sampling - Collaboration **Management** - Reporting - Auditing **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Responses** - Personalization - Route To Human - Natural Language Understanding (NLU) **Automation - AI Agents** - Sales Follow-Up - Customer Interaction Automation - Lead Generation - Document Processing - Feedback Collection **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails **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 **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 **Functionality** - Extraction - Transformation - Loading - Automation - Scalability **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Platform** - Conversation Editor - Integration - Human-In-The-Loop **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 **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 **Data Analysis** - Analysis - Data Interaction **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** - 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 **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Deployment** - Managed Service - Application - Scalability **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **AI Agent Management - Agentic Analytics** - Agent Configuration & Goals - Continuous Learning & Feedback **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **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 **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User 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 **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs ## Top KNIME Alternatives - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (845 reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) - 4.4/5.0 (212 reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,663 reviews)