--- title: KNIME Reviews meta_title: 'KNIME Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 93 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: 93 scale: '5' date_modified: '2026-07-02' 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:** 93 ## 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 **extremely easy to use** , appreciating its intuitive interface and point-and-click workflow capabilities. (7 reviews) - Users appreciate the **coding ease** of KNIME, allowing non-coders to build powerful workflows effortlessly. (4 reviews) - Users appreciate the **ease of learning** with KNIME, allowing beginners to quickly start delivering results. (4 reviews) - Users find KNIME to be **easy to learn** , enabling quick delivery of data solutions and enhancing workflow efficiency. (4 reviews) - Users praise the **user-friendly data visualization tools** of KNIME, which simplify complex analyses for everyone. (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 or visual programming. (3 reviews) - Users experience **memory availability issues** with KNIME, especially when handling large files, impacting performance and efficiency. (3 reviews) - Users often face **storage limitations** with KNIME, experiencing slow performance and memory issues, especially with large datasets. (3 reviews) - Users find that **data management issues** hinder their experience, particularly with file handling and database readability. (2 reviews) - Users find the **lack of learning resources** frustrating, impacting their ability to fully utilize KNIME's features. (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’s Free No-Code Drag-and-Drop Analytics, from Descriptive to Agentic AI **Rating:** 5.0/5.0 stars **Reviewed by:** Guylaine B. | Analytics and Data Management Trainer, Professional Training & Coaching, Small-Business (50 or fewer emp.) **Reviewed Date:** June 22, 2026 **What do you like best about KNIME?** What I like best is KNIME's no-code, drag-and-drop approach, which makes it accessible to anyone interested in analytics, regardless of coding background. It also covers the entire analytics maturity spectrum — from basic descriptive analytics to advanced and agentic AI, all within a single tool. That means there's only one platform to learn, and it's both easy to pick up and COMPLETELY FREE, which lowers the barrier to entry enormously for individuals and organizations alike. **What do you dislike about KNIME?** Building visually polished data apps isn't very intuitive — it takes more effort than it should. **What problems is KNIME solving and how is that benefiting you?** KNIME solves the problem of making analytics accessible across skill levels and industries. Because no coding is required, I can use it to teach both technical and non-technical audiences, regardless of their background or sector. This benefits me directly as a trainer: I have one tool that adapts to any audience, which simplifies my curriculum design and makes analytics concepts approachable for people who might otherwise be intimidated by code-based tools. ### 2. KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals **Rating:** 5.0/5.0 stars **Reviewed by:** Charm M. | Group Audit Manager, Oil & Energy, Mid-Market (51-1000 emp.) **Reviewed Date:** June 18, 2026 **What do you like best about KNIME?** As an experienced Internal Audit Manager, regional data analytics community contributor, and data analytics trainer, I confidently consider KNIME one of the best tools for Auditing, Accounting & Finance, Risk, and Compliance (AAFRC) professionals. The most helpful feature is its visual workflow approach, which provides a clear end-to-end view of the entire analytical process. This makes analyses transparent, easy to review, and highly auditable. Key upsides include the ability to efficiently analyze multiple subgroups using looping nodes and identify anomalies using outlier detection techniques. KNIME also requires little to no coding to get started, allowing professionals to focus on insights rather than programming. In my experience, KNIME has significantly improved the efficiency and effectiveness of my audit projects, enabling broader testing, better risk identification, and higher productivity. **What do you dislike about KNIME?** No significant downsides from my experience. KNIME provides strong value through its visual workflows, automation, flexibility, and ability to improve analytical efficiency. **What problems is KNIME solving and how is that benefiting you?** KNIME helps me solve key business problems in audit analytics and data analysis: Large data volume management – Analyze large datasets beyond Excel limitations efficiently. Workflow automation – Build repeatable workflows to reduce manual effort and improve consistency. Advanced analytics & Machine Learning – Apply ML techniques for deeper analysis, pattern discovery, and risk identification beyond traditional spreadsheet capabilities. Lower sampling risk – Enable broader or full-population analysis for stronger audit coverage. Multi-group analysis & segmentation – Handle complex segmentation across branches, business units, or risk groups, which is critical in audit analytics. Anomaly detection & risk assessment – Identify unusual patterns, potential risks, and support data-driven decisions. Overall, KNIME improves audit efficiency, coverage, and the quality of insights. ### 3. A Powerful, Intuitive, and Scalable Platform for Data Science and AI **Rating:** 5.0/5.0 stars **Reviewed by:** Arief R. | Founder, Non-Profit Organization Management, Small-Business (50 or fewer emp.) **Reviewed Date:** June 19, 2025 **What do you like best about KNIME?** KNIME stands out as a truly versatile open-source platform that empowers users to perform complex data analysis and develop AI solutions without writing code. Its visual workflow interface significantly lowers the barrier for non-programmers while still providing advanced extensibility for experts. KNIME integrates well with Python, R, and popular machine learning libraries, enabling seamless end-to-end development from data preparation to model deployment. The platform’s community, extensible ecosystem, and commitment to openness make it an invaluable tool for data professionals across industries **What do you dislike about KNIME?** While KNIME provides powerful functionality, the initial learning curve can be challenging for users unfamiliar with data science concepts or visual programming. Some integrations, especially with external APIs or cloud services, may require additional configuration or third-party extensions. Nonetheless, the documentation and community support largely mitigate these limitations. **What problems is KNIME solving and how is that benefiting you?** KNIME Software addresses the critical gap between data and actionable insights by providing a low-code/no-code environment that allows users of all skill levels to perform advanced data analytics, machine learning, and AI-driven workflows. It solves the challenge of accessibility in data science—empowering business analysts, educators, and researchers to analyze, visualize, and automate data processes without the need for complex programming. Personally, KNIME has enabled me to democratize data and AI in various domains, including education, government, and industry. I have used KNIME to build solutions for customer segmentation, churn prediction, marketing automation, and text/image analytics—helping organizations make data-driven decisions faster and more efficiently. Its intuitive interface, scalability, and strong integration with open-source tools have made it a cornerstone in my daily work as a data professional. ### 4. KNIME Automates Workflows for Major Time Savings and Accuracy **Rating:** 5.0/5.0 stars **Reviewed by:** Brandon H. | Data Quality Analyst II / Automation Developer, Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about KNIME?** What I find most helpful about KNIME is that it lets me automate workflows and cut down on manual work. It’s a solid way to replace EUCs and reduce the chance of human error. Overall, the biggest upside for me is the time savings, along with better accuracy. It also makes my processes more efficient and, importantly, more reliable. **What do you dislike about KNIME?** The least helpful part of KNIME is that some workflows can become complex and, over time, harder to maintain. Another downside is the initial learning curve, especially when you’re just getting started. I’ve also noticed that performance can slow down when working with very large datasets or more complex processes. **What problems is KNIME solving and how is that benefiting you?** KNIME helps solve the problem of manual, error-prone processes and an overreliance on EUCs. It enables me to automate workflows and standardize recurring tasks. As a result, I see fewer errors, save time, and get processes that are more consistent and efficient overall. ### 5. A lifesaver for blending hardcore coding with visual, accessible workflows **Rating:** 5.0/5.0 stars **Reviewed by:** Lokesh S. | Senior Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 08, 2026 **What do you like best about KNIME?** I work as a Senior Data Scientist at a mid-sized company, and we use KNIME primarily as a bridge between our data science team and the business intelligence analysts. We use it to rapidly prototype machine learning models, automate messy data extraction pipelines, and blend data from our internal databases with third-party vendor files. It serves as our central hub for building data workflows that non-coders can actually understand and execute.The absolute biggest advantage of KNIME is how it perfectly balances visual drag-and-drop simplicity with deep technical flexibility. As a data scientist, I hate being locked into rigid GUI tools, but KNIME allows me to drop custom Python, R, or SQL snippets right into the middle of a visual pipeline whenever I need to do something highly specific. The platform is completely open-source, which made it incredibly easy to pilot and adopt within our medium-sized organization without fighting for massive budget approvals. I also genuinely appreciate the massive repository of pre-built nodes. Whether we are doing basic data joining, complex text mining, or connecting to AWS, there is almost always a node ready to handle the heavy lifting, which drastically speeds up our prototyping phase. **What do you dislike about KNIME?** Despite its underlying power, the user interface feels incredibly dated and clunky, reminding me of software from a decade ago. While it is a visual tool, the learning curve is surprisingly steep for new hires because the sheer volume of available nodes can be completely overwhelming to navigate. My biggest frustration, however, is how KNIME handles memory management on local machines. When processing datasets with millions of rows, the software acts as a massive memory hog. If you do not dive into the backend configuration files to manually adjust the RAM allocation, the platform frequently slows to an agonizing crawl or outright freezes during heavy transformations, which has led to lost work on more than one occasion. **What problems is KNIME solving and how is that benefiting you?** KNIME completely eliminated a major bottleneck we had with routine data preparation. Previously, my team was spending hours every week writing custom scripts just to pull CRM data, clean up messy marketing CSVs, and merge them for the reporting team. We built a KNIME workflow that automates this entire data blending process, saving us countless hours. Another huge win was deploying a customer churn prediction model. Instead of building a black-box Python script that our marketing managers were intimidated by, we built the scoring pipeline visually in KNIME. The marketing team can now look at the workflow, understand the logical steps, and run the churn scores themselves every week without ever needing to submit a support ticket to the data science team. ### 6. KNIME’s No-Code Workflows Make Data Analytics Accessible **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.) **Reviewed Date:** July 01, 2026 **What do you like best about KNIME?** The most helpful feature of KNIME for me is its no-code/low-code approach. This enables me to create compelx workflows without scripting. The entry hurdle for 'citizen data science/analytics' is very low **What do you dislike about KNIME?** Sometimes it is just this one specific functionality you miss, as there is not a node available. Also, being a life scientist by training, the original science base seems to be dwindling away, with more finance use cases being in focus **What problems is KNIME solving and how is that benefiting you?** We are using KNIME for small scale automisation of repetitive tasks for colleagues, the main use case for me however is explorative data analysis as well as data normalization/ETL tasks ### 7. Empowers Users with Intuitive Workflow Creation **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) **Reviewed Date:** June 18, 2026 **What do you like best about KNIME?** I really appreciate the ability to use KNIME Software, which empowers users by allowing them to understand and confidently leverage the software. The prototyping capabilities and the way it enables users to create workflows and explore data are great. The setup was quite easy, which is always a plus. I also give it a high recommendation, rating it a 10 out of 10 for recommending it to others. **What do you dislike about KNIME?** I find that enabling business users who are not technology savvy to build what is required and to get insights from data could be improved. It seems centered around business intelligence, which might not be ideal for everyone. **What problems is KNIME solving and how is that benefiting you?** I use KNIME Software mainly for ETL tasks, helping users discover data. It integrates with large language models, empowering business and financial users to gain insights without deep technical savvy. ### 8. Great Documentation and an Easy Way to Learn KNIME **Rating:** 5.0/5.0 stars **Reviewed by:** Bruno F. | Aprendiz, Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about KNIME?** Documentation, the way that KNIME is easy and related to help people develop and understand about the use. **What do you dislike about KNIME?** For not have an approach of new updates to our community, if a node change community did not participate in this process **What problems is KNIME solving and how is that benefiting you?** Easy replication, helping with conciliation and manual activities, I have some use cases with a lot of KNIME use cases. ### 9. Versatility and Efficiency in One Place **Rating:** 5.0/5.0 stars **Reviewed by:** Jhon Alexander C. | Analista Outbound, Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2026 **What do you like best about KNIME?** I find it useful for creating workflows, it's like using draw.io and Excel. Its versatility in sources is remarkable; I'm just starting to use it, but the nodes I've used are quite interesting. The aspect of cleaning and grouping subprocesses is great. The initial setup was easy. **What do you dislike about KNIME?** Well, I have had a problem if I change PCs to view the streams. **What problems is KNIME solving and how is that benefiting you?** KNIME Software allows me to use just one tool for documentation and execution of processes, instead of several. ### 10. Effortless Big Data Management with KNIME **Rating:** 4.5/5.0 stars **Reviewed by:** Sebastian S. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** I find KNIME Software easy to use and learn. I also appreciate how it allows for the easy handling of big data. It helps me find quick solutions, which I find particularly valuable. Additionally, the initial setup was very easy for me, which made adopting KNIME Software a hassle-free experience. **What do you dislike about KNIME?** I think KNIME Software could perform faster on slow systems. **What problems is KNIME solving and how is that benefiting you?** I use KNIME Software for error management by analyzing data. It solves the problem of handling Big Data easily and is simple to learn and use, allowing me to find quick solutions. ### 11. Great Visualization with Flexible Python, Java, and R Scripting **Rating:** 5.0/5.0 stars **Reviewed by:** Felix M. | Team Lead E-Commerce & digital Channels, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** Good visualization features, with openness to Python, Java, and R scripts. The workflows are a process documentation **What do you dislike about KNIME?** I’m a big fan overall. That said, only event-based triggers would be useful for my needs. **What problems is KNIME solving and how is that benefiting you?** Business automation and analysis with agentic workflows. ### 12. Clear, Scalable Processes with Strong Visual Traceability **Rating:** 5.0/5.0 stars **Reviewed by:** Bill R. | President, Small-Business (50 or fewer emp.) **Reviewed Date:** June 18, 2026 **What do you like best about KNIME?** The scalability of the processes and the visual traceability are strong. Everything is clear and easy to follow. **What do you dislike about KNIME?** It feels too IT-inclined, which makes it difficult for knowledge workers to get started. **What problems is KNIME solving and how is that benefiting you?** It changed the conversation from “can we trust the data?” to “what actions can we take?” It was really impactful. ### 13. KNIME Makes No-Code Workflows Easy to Build and Onboard **Rating:** 5.0/5.0 stars **Reviewed by:** Nithin T. | Software Engineering Intern, Enterprise (> 1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** Knime is a No code / low code platform and easy on boarding **What do you dislike about KNIME?** Machine to machine communication is not working as expected **What problems is KNIME solving and how is that benefiting you?** Data understanding and data cleaning ### 14. One of the best analysis tools **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.) **Reviewed Date:** June 17, 2026 **What do you like best about KNIME?** Very structured and modularly built. One finds a solution for every purpose. **What do you dislike about KNIME?** The UI is somewhat slower than in the old versions. Also, the settings are a bit more nested than before. **What problems is KNIME solving and how is that benefiting you?** Data analysis of target/actual comparisons in the HR environment. Data reconciliation for error management in HR. ### 15. Driving AI, Automation, and Data Innovation with KNIME **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** What I like best about KNIME is its ability to make complex data and AI workflows accessible in a very visual and intuitive way. It allows both technical and non-technical users to collaborate easily, automate processes, and integrate different technologies without needing to write a lot of code. **What do you dislike about KNIME?** One aspect that could be improved is the user experience when workflows become very large and complex, as they can sometimes be difficult to navigate and maintain. **What problems is KNIME solving and how is that benefiting you?** KNIME helps simplify data integration, automation, and analytics by allowing us to connect different data sources and build workflows in a visual way. ### 16. Intuitive and Facilitating, but User Attentive to Graphics **Rating:** 5.0/5.0 stars **Reviewed by:** giorgia f. | Account Life Cycle, Mid-Market (51-1000 emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** I like the simplicity of KNIME Software and the fact that it is user-friendly, as it can be used by everyone. Moreover, it was really easy to set up at the beginning, which is a great advantage. **What do you dislike about KNIME?** Difficult graphic formatting **What problems is KNIME solving and how is that benefiting you?** KNIME Software helps me with data extraction and manipulation, saving time and reducing manual effort. ### 17. 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. ### 18. Explainable Data Workflows and Effortless Human-in-the-Loop Automation **Rating:** 5.0/5.0 stars **Reviewed by:** Ahmad V. | Data Science Software Engineer - NLP and Algorithms, Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** Explainability of data processes and how easy it is to have human-in-the-loop pauses in automation **What do you dislike about KNIME?** The new modern UI. Slow boot-up Slow communications and partner management at KNIME **What problems is KNIME solving and how is that benefiting you?** Showing our customer the start, the end, and “The how” ### 19. 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 ### 20. Smooth, Easy-to-Use Experience from Development to Production **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Chemicals | Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** How easy to use really smooth from development into production **What do you dislike about KNIME?** It can become messy when the workflow gets bigger and very hungry on memory **What problems is KNIME solving and how is that benefiting you?** Supports Plant optimization and troubleshooting ### 21. 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 ### 22. Transparent, FAIR-Integrated Platform with Virtually Nothing to Dislike **Rating:** 5.0/5.0 stars **Reviewed by:** marko j. | Assoc. Prof., Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** Transparency, FAIR integrated in the platform **What do you dislike about KNIME?** There is virtually no aspect to dislike about knime **What problems is KNIME solving and how is that benefiting you?** Sharable and complex big data analysis pipeline design. Domain adaptability. ### 23. Flexible, Comprehensive Analytics Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.) **Reviewed Date:** June 16, 2026 **What do you like best about KNIME?** Flexibility and a very comprehensive analytical platform **What do you dislike about KNIME?** I Can't really think of any. It's been able to meet all my data need **What problems is KNIME solving and how is that benefiting you?** All sorts of data analysis for process improvements ### 24. No-Code, Highly Visual Workflows That Are Easy to Explain **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Management Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** May 12, 2026 **What do you like best about KNIME?** The ability to build highly visual and explainable workflows without code **What do you dislike about KNIME?** No real downsides that I have noticed so far **What problems is KNIME solving and how is that benefiting you?** Data manipulation and extraction ### 25. Feature-Rich Open Source, But Online Help Needs Improvement **Rating:** 5.0/5.0 stars **Reviewed by:** Andrea P. | Proposal Manager, Small-Business (50 or fewer emp.) **Reviewed Date:** October 29, 2025 **What do you like best about KNIME?** Open Source with a lot of connectivity and manipulation features **What do you dislike about KNIME?** Online help could be better. File management could be improved. **What problems is KNIME solving and how is that benefiting you?** Data wrapping, Analytics, AI ### 26. Innovation **Rating:** 5.0/5.0 stars **Reviewed by:** سلامه . | محلل حركة مرور DE, Small-Business (50 or fewer emp.) **Reviewed Date:** March 28, 2023 **What do you like best about KNIME?** The great benefit that the cooperation between the two countries had in the world in order to achieve strategic goals that work on developing joint cooperation between the countries of the world. **What do you dislike about KNIME?** There was nothing to indicate the existence of some countries that still live in the field. **What problems is KNIME solving and how is that benefiting you?** Knowledge ### 27. I think best software ever for data analytics and machine learning **Rating:** 5.0/5.0 stars **Reviewed by:** Francesco A. | Team Leader, Enterprise (> 1000 emp.) **Reviewed Date:** October 02, 2024 **What do you like best about KNIME?** Besides the great ease of use, what I appreciate most is the community of professionals, enthusiasts, and people at KNIME. You can always find someone to give you a suggestion, help, or share their workflows, allowing you to save hours and hours of work **What do you dislike about KNIME?** At the moment, I have found only advantages, no drawbacks **What problems is KNIME solving and how is that benefiting you?** I have used it extensively in teaching, with the aim of disseminating the most common data analysis and machine learning techniques. At work, I use it more often for ETL activities and, recently, to make some predictions based on data that evolves over time ### 28. 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 ### 29. Knime is The Future : Data Engineers Pay attention **Rating:** 5.0/5.0 stars **Reviewed by:** Rupesh A. | Researcher (W.O.C.), Enterprise (> 1000 emp.) **Reviewed Date:** April 15, 2024 **What do you like best about KNIME?** I am unsure where to start, because the agility of the platform is such that it's like learning a bicycle and not riding it for a while, Yet as soon as you open the interface, you know that it's as easy as riding a bicycle. As I am attending the Knime conference and finishing up the first (L1) workshop, the session is ending and yet it is seems like I can continue to hear the instructor what is here, what is going to happen and what shall happen. I can use it for simple task to replace excel, or run large AI models. I completed my dissertation work with KNIME about 4 years ago; Knime helped me then, and it continues to help me now. I use it for developing and running models, or to teach business intelligence. Sometimes I just use it showoff :). I know the question is what I like best about the software, yet I could not hold my excitement to write above. I like the point and click workflow, the plethora of nodes, nodes that connect with other languages, and yes if you are data wrangler, I would say Knime is the best data engineering platform. And Yes now, checkout their Visual nodes, report generator, and if you are still shy of getting on AI bandwagon, try the GEN AI tools; Just search on Knime.com. **What do you dislike about KNIME?** I am unsure what to dislike. I just appreciate that team has build an open source platform that's perfect. **What problems is KNIME solving and how is that benefiting you?** Teaching, Data Cleaning, and Developing large analytical models, and now visualization. ### 30. Easy to understand, Variety of Nodes **Rating:** 5.0/5.0 stars **Reviewed by:** Muhammad S. | Research Assistant, Small-Business (50 or fewer emp.) **Reviewed Date:** August 20, 2024 **What do you like best about KNIME?** The fact that their is a node for almost everything and you can check for errors at every stage. **What do you dislike about KNIME?** It can be little difficult to get data from databases **What problems is KNIME solving and how is that benefiting you?** I am using KNIME for Time Series Forecasting, It is very convenient and easy to use as compared to R or python as it does not involve any codes ### 31. KNIME is the best software to automate accounting processes **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** June 20, 2024 **What do you like best about KNIME?** Intuitive UI, the desktop version is completely free and open source, the great community which helps a lot with different uses cases. New nodes are added on each version and keep up with the trends like LLM. Is the best alternative to Alteryx. **What do you dislike about KNIME?** Python integration can be improved when it comes to memory management and including more libraries by default (like Polars). **What problems is KNIME solving and how is that benefiting you?** Worklfows automation in the Finance Department. Customer analytics with out repeating process and using API's and databases to blend data from different systems. ### 32. It is a powerful and user-friendly. **Rating:** 5.0/5.0 stars **Reviewed by:** Aarushi A. | Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** March 22, 2023 **What do you like best about KNIME?** It is a user-friendly and versatile data analytics tool that offers a wide range of data analysis and visualization capabilities. It has an extensive collection of pre-built nodes that can be customized and connected to create complex workflows **What do you dislike about KNIME?** It provides various visualization tools, but sometimes available options are limited compared to other data analytics platforms. Sometimes it s challenging to work with unstructured data, such as text or image data. **What problems is KNIME solving and how is that benefiting you?** It allows the integration of data from various sources and formats, such as databases, spreadsheets, and cloud storage, which can save time and effort and help to streamline data processing workflows. It also provides various machine learning and data analytics tools that can help to build predictive models, perform statistical analysis, and gain insights from their data. ### 33. One of the best Data harmonisation Tool **Rating:** 4.5/5.0 stars **Reviewed by:** Harshad S. | Consultant (Grade 9), Enterprise (> 1000 emp.) **Reviewed Date:** April 02, 2023 **What do you like best about KNIME?** Knime helps to harmonise the most complex data with ease. Its an Open source, supports wide range of data sources, has Drag and Drop interface and is extensible. **What do you dislike about KNIME?** Platform can be challenging to learn and Navigate particularly for the beginners. And Knime sometime do crash when the processing of the nodes are high. It has some glitch too **What problems is KNIME solving and how is that benefiting you?** It solves all the Data Harmonisation Problems. It helps me in Data intergation, Data cleaning and Processing,Predictive analytics, Reporting and Visualisation and Collaboration. ### 34. 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. ### 35. No code, easy to use and easy to innovate **Rating:** 5.0/5.0 stars **Reviewed by:** Gowtham Raj B. | Senior Engineer | Data & Automation, Enterprise (> 1000 emp.) **Reviewed Date:** May 10, 2023 **What do you like best about KNIME?** Quick to production ML models. Easy to learn and start delivering. Great integration with powerful programming languages (Python, Java) . One stop shop for production ready Data Engineering/Data Analytics and Data Science solutions. **What do you dislike about KNIME?** Inbuilt Version control can be a great addition. Compatibility check for workflows between Client and Server versions can be great for development. A bit spacious UI for the client application would be appreciated. **What problems is KNIME solving and how is that benefiting you?** ML model deployments (easy and quick) . No code ETL process (easy to learn) . Cheaper solution compared to alternatives. One stop analytical application for integrating ETL, modelling and reporting. ### 36. Workflows for Everything! **Rating:** 4.5/5.0 stars **Reviewed by:** Mayank V. | Senior Technical Consultant, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** March 09, 2023 **What do you like best about KNIME?** The vast number of nodes available in Knime offers excellent flexibility and coverage for almost all types of business challenges. It also provides excellent connectivity and integration with different platforms, a value addition. **What do you dislike about KNIME?** Knime requires a lot of configuration for even the most simple excel tasks that are pretty challenging for new users to understand and work with. Apart from this, everything works well. **What problems is KNIME solving and how is that benefiting you?** It's solving our needs of creating workflows with integration to Appian, helping a remediate lot of manual work to automated workflows. Also, It helps our program's cost-effectiveness. ### 37. KNIME Analytics Platform Review **Rating:** 4.5/5.0 stars **Reviewed by:** Yogita K. | Accountant, Mid-Market (51-1000 emp.) **Reviewed Date:** March 28, 2023 **What do you like best about KNIME?** It provides a great platform for data cleaning without extra hassle, is very easy to use, and data clarity and workflows are very well created. Data can be pulled directly from excel and extracted to excel. **What do you dislike about KNIME?** KNIME can also be explored further for extra analytical tools and more manuals can be introduced. Otherwise vast visuals are available which a beginner can also use in their work **What problems is KNIME solving and how is that benefiting you?** It helps in analysing a large set of data for producing meaningful reports for management, that too is reliable and helpful in decision making. ### 38. Outstanding platform for simple ETL pipelines **Rating:** 5.0/5.0 stars **Reviewed by:** Gabriel D. | Support and integrations analyst, Enterprise (> 1000 emp.) **Reviewed Date:** March 09, 2023 **What do you like best about KNIME?** Everything. ETL development is straightforward with Knime. The learning curve is fast, and we can deliver results to the stakeholders in a few hours. **What do you dislike about KNIME?** Without the Knime Server, it's hard to schedule ETLs pipelines. We need to do some workarounds with bash to execute the pipelines properly. **What problems is KNIME solving and how is that benefiting you?** Data migration, extract, transform and load data from one point to another. (sheets, CSV, databases) ### 39. Easy to Learn for non-code Users **Rating:** 4.5/5.0 stars **Reviewed by:** Yogesh T. | Senior Applied Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** March 07, 2023 **What do you like best about KNIME?** It's effortless to use for anyone with a business analysis background or minimal code experience. We can create visual workflows which are easy to understand/explain to others. Only advanced excel knowledge or logical/analytical skills are needed. **What do you dislike about KNIME?** The user interface can be improved; it's not very beginner friendly. It lags sometimes and becomes very slow when working with large files. It takes up a lot of memory just to start the software. **What problems is KNIME solving and how is that benefiting you?** It's straightforward to onboard excel heavy users on automating tasks. We can make users self reliant on doing basic data pre-processing, making quick visuals and automating tasks. ### 40. Best platform to access, blend, analyze, and visualize data, without any coding. **Rating:** 4.5/5.0 stars **Reviewed by:** Vaibhav W. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 10, 2023 **What do you like best about KNIME?** It helps analyze, and visualize data without coding, So any novice user can use it to do data analytics. Useful for non-technical people. **What do you dislike about KNIME?** User interface can be improved · Nodes repository has large number of functions but are difficult to locate and are sometimes confusing. **What problems is KNIME solving and how is that benefiting you?** All needs related to data analysis and visualization. Helping in making data-driven decisions. ### 41. Knime analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Likitha B. | Senior Business Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** March 13, 2023 **What do you like best about KNIME?** Easy low/no-code platform Open source Easy to use for beginners **What do you dislike about KNIME?** Lack of learning resources Consumes a lot of memory UI interface is not very navigable **What problems is KNIME solving and how is that benefiting you?** -Good Tool for solving data cleaning issues -No license fee -reduction in manual data wrangling due to ease of automation ### 42. 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. ### 43. 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 ### 44. 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. ### 45. 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 ### 46. 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 ### 47. 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. ### 48. 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 ### 49. 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. ### 50. 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. ## 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?qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-07-02+20%3A12%3A43+-0500&secure%5Bsession_id%5D=06c8339c-75ff-437c-946c-557886cb5050&secure%5Btoken%5D=7e158e92b5730badecdb9ff3c79fa74562b83783d0494c6354c5910d5c68429d&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 (830 reviews) - [Dataiku](https://www.g2.com/products/dataiku/reviews) - 4.4/5.0 (208 reviews) - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,626 reviews)