---
title: KNIME Reviews
meta_title: 'KNIME Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 115 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: 115
  scale: '5'
date_modified: '2026-08-20'
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:** 115  
**AI Verified:** At least 10 G2 reviewers have confirmed using this product&#39;s AI features and functionality.
## 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
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.

**What users like:**

- Users find KNIME&#39;s **ease of use** enhances productivity, enabling even non-technical individuals to build workflows effortlessly. (7 reviews)
- Users find KNIME&#39;s **coding ease** remarkable, enabling effortless workflows without requiring extensive technical skills. (4 reviews)
- Users find KNIME to be an **easy-to-learn platform** , enabling quick workflow creation without coding skills. (4 reviews)
- Users find KNIME easy to learn and start delivering results, thanks to its **intuitive visual workflow interface**. (4 reviews)
- Users love the **easy and intuitive data visualization** capabilities of KNIME, enhancing understanding and communication of data insights. (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 unfamiliar with data science concepts and visual programming. (3 reviews)
- Users face **memory usage issues** with KNIME, leading to slow performance, especially with larger files and operations. (3 reviews)
- Users report **storage limitations** with KNIME, leading to performance issues and difficulties with large datasets. (3 reviews)
- Users note that **data management issues** hinder their experience, especially with file handling and certain databases. (2 reviews)
- Users find the **lack of learning resources** for KNIME to be a significant barrier to effective usage. (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. Powerful, Free Data ETL with an Intuitive Drag-and-Drop Interface

**Rating:** 4.5/5.0 stars

**Reviewed by:** Jared W. | Director of Data &amp; Research, Small-Business (50 or fewer emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** August 11, 2026

**What do you like best about KNIME?**

KNIME is free to use and open source, available both on Mac & PC. It is able to handle large amounts of data from various sources. I'm a former Alteryx user who switched from corporate consulting (which could afford Alteryx) to a Mac OS based non-profit. KNIME allowed me to apply my skillset without costing the organization large fees or subscriptions to do data management, analysis, and visualization.

I was able to use KNIME to take data from Google Drive, local CSVs, and make API calls all using the simple drag & drop interface. The ability to visually see data flows, especially checking drops or duplications when doing joins, was incredibly helpful. Even more so, the visual component allowed me to walk through the data process with non-technical audiences to show how the data was being transformed and show in real time any data errors.

The KNIME AI feature is a nice to have, especially if you are learning. It helps troubleshoot quick syntax related issues or can help build simple workflows.

**What do you dislike about KNIME?**

A benefit yet also a con of KNIME is how prescriptive each of its nodes tend to be; for example in Alteryx you would have a "Select" tool that would allow you to rename a field, drop fields, and change field types all in one tool. In KNIME, each of those actions requires a different node (column renamer, column filter, string to number etc.) which while may be helpful for transparency, requires additional actions and longer workflows. 

KNIME has yet to implement in its modern UI an 'autosave' feature which was available in its classic version. The lack of autosave sometimes results in painful rework due rare, but occurring, instances of workflows freezing/ becoming unresponsive.

**What problems is KNIME solving and how is that benefiting you?**

KNIME is my go to tool for data transformation and simple analysis. The key benefits include how quickly it can ingest data from multiple sources and allow you to combine and manipulate quickly to either feed into modeling, visualization tools, or do simple analysis (e.g., mean comparisons, descriptive stats).

  ### 2. 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.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review.

**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.

  ### 3. 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.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review.

**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.

  ### 4. Workflows executed by business users with KNIME Business Hub’s Strong Functionality

**Rating:** 5.0/5.0 stars

**Reviewed by:** Adrian K. | CEE BI Systems &amp; Tools Manager, Enterprise (> 1000 emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review.

**Reviewed Date:** July 07, 2026

At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review.

**What do you like best about KNIME?**

I can't imagine better way to troubleshoot a workflow than what KNIME Business Hub provides. You literally see your workflow on KBH (in web browser) like in the desktop app where you've designed it - with errors and warnings generated during the execution. So easy!

**What do you dislike about KNIME?**

Variable Loop End has a kink that costed me some headache - order of flow variables is important apparently. But that's a minor thing only. 

**What problems is KNIME solving and how is that benefiting you?**

I created a standard model for external data processing in my company that business users can self-serve. The model was implemented about 15 times by now. Our KAMs upload their customers’ sell-out data into our database on their own, without complaints. This was possible thanks to Business Hub functionalities. As a result, it frees up my time and the BI team’s time for new projects and deeper business analysis.

  ### 5. 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.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 19, 2025

At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review.

**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.

  ### 6. Revolutionized Our Data Workflows, Needs Better German Compliance Tools

**Rating:** 4.5/5.0 stars

**Reviewed by:** Orsjeer T. | Senior IT Infrastructure &amp; Cloud Solutions Manager, Information Technology and Services, Mid-Market (51-1000 emp.)

**Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team

**Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review.

**Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.

**Reviewed Date:** August 07, 2026

**What do you like best about KNIME?**

I value KNIME Software's flexible no-code visual workflow builder, which allows our Hamburg IT team to build complex data pipelines without needing advanced coding skills. This feature lowers the barrier for our infrastructure engineers to process monitoring data independently. Additionally, KNIME significantly cuts down on the heavy scripting and manual data-processing workload, making it easier to assemble visual workflows and aggregate multi-cloud monitoring data without deep Python expertise. The transition from custom scripts was worth it because of KNIME’s drag-and-drop visual workflows.

**What do you dislike about KNIME?**

KNIME falls short on native German regulatory support for our IT compliance tasks. It lacks pre-configured nodes aligned with BSI IT-Grundschutz and GDPR audit requirements. For example, generating immutable compliance logs for client cloud environments requires heavy manual workflow tweaks. Enterprise-grade SSO integration can also feel clunky to configure.

**What problems is KNIME solving and how is that benefiting you?**

I use KNIME to build no-code data workflows, reducing manual scripting and processing infrastructure logs to generate GDPR-compliant reports. It allows assembling workflows for monitoring data without deep Python expertise, significantly cutting down scripting work.

  ### 7. Powerful Low Code Analytics Platform with Excellent Automation and AI Capabilities

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sattwik M. | Review Freelancer(Specialist), Mid-Market (51-1000 emp.)

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review.

**Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.

**Reviewed Date:** August 01, 2026

**What do you like best about KNIME?**

KNIME stands out for its intuitive visual interface that makes building data workflows straightforward, even for users with limited coding experience. The drag and drop UI is clean, well organised, and easy to navigate, which reduces the learning curve while still supporting advanced users through Python, R, SQL, and other integrations.

The platform performs reliably when handling large datasets and complex workflows, and its automation capabilities save significant time on repetitive tasks. I also appreciate the growing AI and machine learning features, which make it easier to build predictive models and integrate intelligent data processing into workflows.

From a value perspective, KNIME offers an excellent return on investment, especially considering the capabilities available in its free version and the scalability of its enterprise offerings. The documentation, tutorials, and community resources make onboarding smooth, while the support ecosystem helps users quickly resolve issues and learn best practices. Overall, KNIME is a flexible, powerful, and cost effective platform for data analytics, automation, and AI driven workflows.

**What do you dislike about KNIME?**

While KNIME is a powerful platform, the interface can feel overwhelming for new users because of the large number of available nodes and configuration options. Some complex workflows may also become difficult to manage visually as they grow in size.

Performance can slow down when processing very large datasets or highly complex workflows, especially on systems with limited resources. Although the platform integrates well with many tools, configuring certain enterprise or third party integrations can require additional technical knowledge.

I would also like to see more AI assisted workflow creation, smarter recommendations during workflow development, and a more modern interface in some areas. Improving these aspects would make the platform even more accessible and efficient for both beginners and experienced users.

**What problems is KNIME solving and how is that benefiting you?**

KNIME helps solve the challenge of preparing, analysing, and automating data workflows without relying heavily on manual processes or extensive coding. Instead of using multiple tools for data cleaning, transformation, analysis, and reporting, everything can be managed within a single workflow, which improves consistency and reduces errors.

Its automation capabilities save time on repetitive tasks, while integrations with Python, R, SQL, and AI tools provide the flexibility to handle more advanced use cases when needed. The visual workflow design also makes it easier to understand, review, and maintain complex processes, improving collaboration across teams. Overall, KNIME increases productivity, streamlines data driven decision making, and allows more time to focus on analysis rather than repetitive manual work.

  ### 8. Strong  No-code Analytics Tool that grows with you

**Rating:** 4.5/5.0 stars

**Reviewed by:** Karan S. | Enterprise (> 1000 emp.)

**Validated Reviewer:** This review contains authentic analysis and has been reviewed by our team

**Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review.

**Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.

**Reviewed Date:** July 07, 2026

**What do you like best about KNIME?**

I use KNIME Software to build visual, low-code data workflows, which makes data cleaning, analysis, and machine learning tasks much easier. It's great for RPA-style automation because I can chain repetitive tasks and avoid manual work. I like that I can create reusable workflows with KNIME that keep everything consistent and help reduce manual mistakes. The visual workflow builder is fantastic because it's easy to see exactly what's happening at each step, and I don't have to rewrite an entire script if I need to update something—I just modify the workflow. It really simplifies understanding and troubleshooting my process, allowing me to quickly identify what needs to be changed without sifting through long scripts.

**What do you dislike about KNIME?**

The interface can feel overwhelming at first because there are so many nodes and configuration options. It takes some time to understand the best way to structure workflows, especially if you are new to the platform. The onboarding experience could be improved with more guided tutorials, sample end-to-end workflows, and more interactive walkthroughs. This would make it much easier to get comfortable with the platform without having to rely on external tutorials heavily. The main challenge was understanding how different nodes work and how to design efficient workflows.

**What problems is KNIME solving and how is that benefiting you?**

I use KNIME Software to build visual, low-code workflows for data cleaning, analysis, and automation, reducing manual work and errors by creating reusable workflows. It helps me avoid repeating tasks across projects, keeping everything consistent.

  ### 9. 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.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.

**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.

  ### 10. Intuitive Drag-and-Drop Data Flows with Transparent Open-Source Trust

**Rating:** 4.5/5.0 stars

**Reviewed by:** Richard L. | Software Developer, Mid-Market (51-1000 emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** August 11, 2026

**What do you like best about KNIME?**

I love the drag and drop interface,  and the ability to inspect data anywhere throughout the flow. I love that it is open source, leading to transparency and trust

**What do you dislike about KNIME?**

Because I have some large datasets, I notice that Knime is rather slow even on a fast PC.

**What problems is KNIME solving and how is that benefiting you?**

As a workforce development agency for a large US City, and more than 280k persons we have served, we have been able to discern what services we offer citizens offer the most return on investment for us, and impact to their lives. Very helpful.

  ### 11. Versatile Nodes and Easy Workflow Automation for Excel Migrants

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** August 18, 2026

**What do you like best about KNIME?**

I appreciate the variety of nodes for data science, analytics, and business processing. I also value the low barrier to entry for new users migrating from Excel. Lastly, the ability to automate work flows makes simple tasks easier than scripting.

**What do you dislike about KNIME?**

While the application is stable under almost all conditions it consumes large amounts of RAM when workflows get very large and the amount of data is great. Not all nodes have migrated to the new interface standard.

**What problems is KNIME solving and how is that benefiting you?**

I find it works well for testing results of different SQL queries and comparing results and performance. I can also test several different machine learning models easily on the same data. I also find it automates several data processing tasks easy and reusing workflows is efficient.

  ### 12. 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.)

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review.

**Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.

**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.

  ### 13. Easy, Intuitive Workflows with a Strong Open-Source Node Library

**Rating:** 4.5/5.0 stars

**Reviewed by:** Kirk S. | Principal, Small-Business (50 or fewer emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** August 11, 2026

**What do you like best about KNIME?**

KNIME is quite easy to work with.  There are a number of open-source KNIME nodes available to perform basic statistic and chemistry processes

**What do you dislike about KNIME?**

I have no issues with KNIME.  The workflows are intuitive, current nodes self-define their set up so all is easy to use.

**What problems is KNIME solving and how is that benefiting you?**

I have used KNIME to set up cheminformatic workflows that allow me to automate the generation of reports for my client and to do so in short order with existing chemistry oriented nodes.

  ### 14. Platform for Data Analytics

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Validated Reviewer:** Validated through LinkedIn

**Source: Organic Review from User Profile:** Invitation from G2. This reviewer was not provided any incentive by G2 for completing this review.

**Reviewed Date:** August 06, 2026

**What do you like best about KNIME?**

What I like best about KNIME is its easy drag-and-drop interface, which makes data analysis and workflow automation simple without writing much code. It integrates well with Python, Excel, databases, and other data sources, so working with different types of data is easy. The performance is good for most analytics tasks, and the documentation and community support help when learning new features. Being open source, it provides excellent value, especially for developers, students, and teams working on data science projects.

**What do you dislike about KNIME?**

The interface is easy to use, but some advanced workflows can become complex and difficult to manage. Large workflows may take time to load and can affect performance on systems with limited resources. Some integrations need extra configuration, which can be confusing for new users. The community support is good, but more detailed tutorials for advanced features would make the onboarding experience better.

**What problems is KNIME solving and how is that benefiting you?**

KNIME solves the problem of preparing, cleaning, and analyzing data without writing a lot of code. It brings data integration, transformation, and analytics into one platform, which saves time and reduces manual work. For me, it makes it easier to build data workflows, test ideas quickly, and automate repetitive tasks, so I can focus more on analysis and development.

  ### 15. Easy Collaboration & Helpful Community

**Rating:** 5.0/5.0 stars

**Reviewed by:** Emily C. | Small-Business (50 or fewer emp.)

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** August 18, 2026

**What do you like best about KNIME?**

I love that no coding language knowledge is necessarily needed with KNIME Software, which makes it easy to use and get started. It allows me to work collaboratively with my team and troubleshoot errors easily. I also love the community, especially the KNIME Hub and the 'Just KNIME It' challenges.

**What do you dislike about KNIME?**

I like the old interface better than the new interface. The error log is more visible in the old view.

**What problems is KNIME solving and how is that benefiting you?**

I like that KNIME Software doesn't require coding knowledge to get started, it lets me collaborate easily with my team, and simplifies error troubleshooting and makes it very clear where an error is happening.

  ### 16. Fairly Intuitive Interface for Visual Data Prep Pros

**Rating:** 4.0/5.0 stars

**Reviewed by:** Torian F. | Data Manager (Sr. Data Analyst), Mid-Market (51-1000 emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** August 11, 2026

**What do you like best about KNIME?**

The interface seems fairly intuitive if you already have experience with visual data preparation tools

**What do you dislike about KNIME?**

Not enough time with the tool to really indicate dislikes.

**What problems is KNIME solving and how is that benefiting you?**

KNIME provides a visual way to prepare, transform, and analyze data while also allowing more complex workflows to be automated. Coming from Tableau Prep, I can see the potential benefit of having more advanced data preparation, analytics, and automation capabilities within the same workflow.

  ### 17. Flexible and Efficient Workflow Builder with Minor Performance Issues

**Rating:** 4.0/5.0 stars

**Reviewed by:** Erik D. | Ass.Prof., Research, Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 09, 2026

**What do you like best about KNIME?**

I really like how flexible KNIME Software is for building workflows. There's a lot of libraries and plugins available which makes it easy to compose complex behaviors without needing to code if you don't want to. It's adaptable to people with different levels of experience, allowing both beginners and more experienced users to contribute effectively. The software makes it easy to perform complex analysis tasks and have different variants of standard workflows, which is great for collaborative work and for building experience.

**What do you dislike about KNIME?**

Using it on Windows, sometimes it is a bit sluggish.

**What problems is KNIME solving and how is that benefiting you?**

KNIME Software lets me build reproducible and standard workflows for computational biology, ensuring consistent and reliable results. I can share these workflows with colleagues, fostering collaboration and maintaining high-quality outcomes.

  ### 18. Intuitive and Cost-Effective, But Resource-Heavy

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 16, 2026

**What do you like best about KNIME?**

I use KNIME Software as an open-source, low-code platform to build visual drag-and-drop data pipelines, allowing us to automate complex data preparation and modeling workflows without needing to write code, while still giving us the flexibility to script in Python or R for custom logic. I really like how it bridges the technical gap by letting business analysts visually construct complex data and machine learning pipelines without writing SQL or Python code. The node-based layout acts as a self-documenting flowchart, making it easy to audit, debug, and explain workflows to stakeholders. I love KNIME's massive open-source library of pre-built nodes, which makes blending different tools like Python, SQL, and Excel on a single canvas seamless. The intuitive traffic-light node status indicators make testing and debugging visual workflows easy and eliminate the guesswork by providing instant, node-by-node feedback on pipeline issues. Additionally, the library acts as an app store for data, allowing us to connect legacy files to modern AI models with just a drag-and-drop node instead of writing custom API integration code. The initial setup was easy and friction-free.

**What do you dislike about KNIME?**

I find KNIME Software to be an absolute memory hog, frequently crashing on large datasets due to its aggressive step-by-step caching. Configuring its clunky Python integrations is notoriously painful. Additionally, complex business logic quickly transforms workflows into a chaotic spaghetti of nodes that are highly disorienting to navigate and organize.

**What problems is KNIME solving and how is that benefiting you?**

I find that KNIME Software bridges the technical gap by allowing us to build data pipelines without code. Its self-documenting feature makes auditing and explaining workflows easy for us. We appreciate its open-source library and traffic-light node status which simplify our debugging and integration with tools like Python and SQL.

  ### 19. The Ultimate Time-Saver for Complex Data Pipelines

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.)

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**Reviewed Date:** July 09, 2026

**What do you like best about KNIME?**

What I love most about KNIME is its intuitive, drag-and-drop visual workflow interface. It allows me to build complex data cleaning pipelines and machine learning models without needing to write extensive code, which saves me hours of manual work every week.

**What do you dislike about KNIME?**

While the visual workflow is great, large and complex pipelines can quickly become messy and difficult to navigate. The user interface, while functional, feels a bit dated compared to modern web-based data tools, and it can sometimes take too many clicks to find specific configuration settings within a node.

**What problems is KNIME solving and how is that benefiting you?**

Problem Solved: We struggled with manual, repetitive data preparation tasks that involved stitching together multiple massive Excel spreadsheets every week. It was highly error-prone and consumed hours of engineering time.

Benefit: KNIME allows us to completely automate these ETL pipelines. What used to take a full day of manual data cleansing now runs in minutes at the click of a button, drastically reducing human error and freeing up our team to focus on actual data analysis rather than data wrestling.

  ### 20. AI and Data Science Powerhouse - Nothing Else Comes Close in Value

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tosin A. | Business Analyst - Implementations and Conversions, Small-Business (50 or fewer emp.)

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**Reviewed Date:** July 13, 2026

**What do you like best about KNIME?**

The desktop software is free making it accessible and compliant with many environments which restrict cloud access. The community and company are very supportive for knowledge sharing, and the cloud services and plans provide tremendous value.

**What do you dislike about KNIME?**

It is actually hard to find anything to dislike! There could be tiny UI/UX enhancements and features, such as wireless node connectors.

**What problems is KNIME solving and how is that benefiting you?**

Data automating and integrating AI in workflows saves me countless hours

  ### 21. Flexible, Educational Node-Based UI That’s Easy to Use

**Rating:** 4.5/5.0 stars

**Reviewed by:** Daniel Conor S. | Web &amp; Technical Consultant, Small-Business (50 or fewer emp.)

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**Reviewed Date:** August 18, 2026

**What do you like best about KNIME?**

Flexible and educational to use, the node based UI is easy to interact with.

**What do you dislike about KNIME?**

I have had some inconsistencies with the AI assistant in previous versions.

**What problems is KNIME solving and how is that benefiting you?**

I had previously planned work which involved large volumes of local data being analyzed and I am learning more about data analytics as I progress.

  ### 22. Intuitive Interface, Ideal for Educational Projects

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jason B. | Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 09, 2026

**What do you like best about KNIME?**

I mainly use KNIME Software for school projects, and I love its ease of use and the ability to point and click for everything we used. The tools available by clicking nodes and exploring different ways to analyze data are amazing. The initial setup was very easy with a fast install. I rate it a 10 out of 10 because I loved it.

**What do you dislike about KNIME?**

The software was easy to use but takes a bit of a learning curve to get used to.

**What problems is KNIME solving and how is that benefiting you?**

I use KNIME Software for school projects. It helps analyze complex data like car crash data easily. The point-and-click interface and node tools make data exploration straightforward.

  ### 23. Flexible, AI-Integrated Toolset—But Occasionally Node Guidance Can Be Hard to Find

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.)

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**Reviewed Date:** August 11, 2026

**What do you like best about KNIME?**

It's an environment that removes the tedium from many tasks, is flexible enough to allow Python, SQL and other code where necessary, offers a deep library of tools and is AI-integrated.

**What do you dislike about KNIME?**

Occasionally I get stuck on how a node should work, or I just can't get it to work, and I can't find sufficient help. It's gotten better over time since I started using Knime.

**What problems is KNIME solving and how is that benefiting you?**

More than anything, it's automating a recurring workflow. Relatedly, as I work through unfamiliar data, it helps me explore and refine my understanding of the dataset.

  ### 24. KNIME Makes Building Algorithms Easy

**Rating:** 5.0/5.0 stars

**Reviewed by:** Mehrdad B. | Project Manager, Data Engineer, Small-Business (50 or fewer emp.)

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**Reviewed Date:** July 15, 2026

**What do you like best about KNIME?**

If you have an idea or program algorithm in your mind, Knime is the easiest way to build it.
Because it’s module‑based, debugging is easy, and it provides the ability to use various tools and programming languages such as Python, Java, and others.

**What do you dislike about KNIME?**

It doesn't work with GPU
You have to pay to access the some features

**What problems is KNIME solving and how is that benefiting you?**

It's data analytics platform.

  ### 25. KNIME’s No-Code Workflows Make Data Analytics Accessible

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Research | Enterprise (> 1000 emp.)

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**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

  ### 26. Empowers Users with Intuitive Workflow Creation

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User | Small-Business (50 or fewer emp.)

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**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.

  ### 27. Great Documentation and an Easy Way to Learn KNIME

**Rating:** 5.0/5.0 stars

**Reviewed by:** Bruno F. | Aprendiz, Enterprise (> 1000 emp.)

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**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.

  ### 28. Quick Access to Data Sources for Fast, Actionable Insights

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Consulting | Enterprise (> 1000 emp.)

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**Reviewed Date:** August 19, 2026

**What do you like best about KNIME?**

How quickly I can use it to tap into a variety of data sources and start generating insights.

**What do you dislike about KNIME?**

In my experience, the modern UI still has a way to go to match all the functionality of the classic UI.  Documentation on the new Expression nodes could be better.

**What problems is KNIME solving and how is that benefiting you?**

I've used it for system migrations, reporting, and quickly aggregating data from disparate sources.

  ### 29. Easy-to-Use Data Analytics with Great Visualization

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sadaf S. | Senior Manager, Small-Business (50 or fewer emp.)

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**Reviewed Date:** July 07, 2026

**What do you like best about KNIME?**

I like that KNIME Software is easy to use and can intake any type of data, which makes it versatile for analyzing trends and tracking client retention. I also appreciate the great visualization of data that KNIME Software provides.

**What do you dislike about KNIME?**

Nothing

**What problems is KNIME solving and how is that benefiting you?**

KNIME Software helped us analyze data to identify trends and client retention. Its ease of use, ability to intake any type of data, and great data visualization made it easier to target clients for upselling and retention strategies.

  ### 30. 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.)

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**AI Translated:** This review has been translated from Spanish; Castilian using AI.

**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.

  ### 31. Effortless Big Data Management with KNIME

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sebastian  S. | Small-Business (50 or fewer emp.)

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**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.

  ### 32. Great Visualization with Flexible Python, Java, and R Scripting

**Rating:** 5.0/5.0 stars

**Reviewed by:** Felix M. | Team Lead E-Commerce &amp; digital Channels, Mid-Market (51-1000 emp.)

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**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.

  ### 33. Easy Integration for Offering Packages Across Many Fields—Still Learning

**Rating:** 3.5/5.0 stars

**Reviewed by:** David M. | Independent Expert, Research &amp; Innovation, Small-Business (50 or fewer emp.)

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**Reviewed Date:** July 21, 2026

**What do you like best about KNIME?**

Not an expert for now, but happy that I can integrate and offer my packages to be used in many different fields of activities.

**What do you dislike about KNIME?**

Easy integration and process automation.

**What problems is KNIME solving and how is that benefiting you?**

As a solution provider, I can reach many more customers.

  ### 34. Clear, Scalable Processes with Strong Visual Traceability

**Rating:** 5.0/5.0 stars

**Reviewed by:** Bill R. | President, Small-Business (50 or fewer emp.)

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**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.

  ### 35. 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.)

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**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

  ### 36. One of the best analysis tools

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.)

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**AI Translated:** This review has been translated from German using AI.

**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.

  ### 37. 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.)

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**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.

  ### 38. 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.)

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**AI Translated:** This review has been translated from Italian using AI.

**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.

  ### 39. Open Platform with Great Agentic AI Integration

**Rating:** 4.0/5.0 stars

**Reviewed by:** fabio c. | Head of Secure Data&amp;AI, Small-Business (50 or fewer emp.)

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**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.

  ### 40. 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.)

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**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”

  ### 41. Time-Saving and Insightful Tool

**Rating:** 4.0/5.0 stars

**Reviewed by:** Carolina S. | Senior Financial Analyst, Mid-Market (51-1000 emp.)

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**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

  ### 42. 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.)

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**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

  ### 43. 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.)

**Validated Reviewer:** Validated through LinkedIn

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**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

  ### 44. 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.)

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**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.

  ### 45. Flexible, Comprehensive Analytics Platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Education Management | Enterprise (> 1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Validated Reviewer:** Validated through Google One Tap using a business email account

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was not provided any incentive by G2 for completing this review.

**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

  ### 46. 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.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Validated Reviewer:** Validated through LinkedIn

**Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.

**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

  ### 47. 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.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a business email account

**Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.

**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

  ### 48. Innovation

**Rating:** 5.0/5.0 stars

**Reviewed by:** سلامه . | محلل حركة مرور DE, Small-Business (50 or fewer emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review.

**Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.

**AI Translated:** This review has been translated from Arabic using AI.

**Reviewed Date:** March 28, 2023

At G2, we prefer fresh reviews and we like to follow up with reviewers. They may not have updated their review text, but have updated their review.

**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

  ### 49. 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.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Source: Organic:** Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.

**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

  ### 50. Great for Data Analysis

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Accounting | Enterprise (> 1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal gift card as thank you for completing this review.

**Source: G2 invite:** Invitation from G2. This reviewer was offered a nominal gift card as thank you for completing this review.

**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


## 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?section=pricing&secure%5Bexpires_at%5D=2026-08-23+13%3A06%3A08+-0500&secure%5Bsession_id%5D=d86dd6a9-1e1b-41a0-8f87-3bcb9b0946ce&secure%5Btoken%5D=9a6bd84bb0825ddafc429f1412c54ad37099af5f95c1f90074e2a9cf794fb649&format=llm_user)
## KNIME Integrations
  - [Amazon Athena](https://www.g2.com/products/amazon-athena/reviews)
  - [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews)
  - [APACHE](https://www.g2.com/products/apache/reviews)
  - [Box](https://www.g2.com/products/box/reviews)
  - [Claude](https://www.g2.com/products/claude-2025-12-11/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Deepseek](https://www.g2.com/products/deepseek/reviews)
  - [Gemini](https://www.g2.com/products/zen-healthcare-it-gemini/reviews)
  - [Google Analytics](https://www.g2.com/products/google-analytics/reviews)
  - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)
  - [IBM watsonx.ai](https://www.g2.com/products/ibm-watsonx-ai/reviews)
  - [Microsoft 365](https://www.g2.com/products/microsoft365/reviews)
  - [Microsoft Access](https://www.g2.com/products/microsoft-access/reviews)
  - [Microsoft Fabric](https://www.g2.com/products/microsoft-fabric/reviews)
  - [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)
  - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [MongoDB](https://www.g2.com/products/mongodb/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [Neo4j Graph Data Science](https://www.g2.com/products/neo4j-graph-data-science/reviews)
  - [Ollama](https://www.g2.com/products/ollama/reviews)
  - [Openai](https://www.g2.com/products/openai/reviews)
  - [OpenStreetMap](https://www.g2.com/products/openstreetmap/reviews)
  - [OrientDB](https://www.g2.com/products/orientdb/reviews)
  - [pgAdmin](https://www.g2.com/products/pgadmin/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Python](https://www.g2.com/products/python/reviews)
  - [SAP BW/4HANA](https://www.g2.com/products/sap-bw-4hana/reviews)
  - [SAP Cloud ERP (SAP S/4HANA Cloud)](https://www.g2.com/products/sap-cloud-erp-sap-s-4hana-cloud/reviews)
  - [SAP ECC](https://www.g2.com/products/sap-ecc/reviews)
  - [Shopware](https://www.g2.com/products/shopware/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Tableau](https://www.g2.com/products/tableau/reviews)
  - [Yandex Maps API](https://www.g2.com/products/yandex-maps-api/reviews)

## KNIME Features
**Reports**
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards
- Customizable Reports
- Marketing Reports
- Sales Reports
- Activity Dashboard
- Interactive Reports
- Customizable Reports
- Customizable Reports
- Activity Dashboard
- Customizable Dashboard

**Additional Functionality**
- Tagging
- Natural Language Processing
- Data Extraction
- Multi-Language
- Predictive Analytics
- Drag & Drop
- Speech Recognition
- Reporting/Analytics
- Data Storage Management
- Virtual Personal Assistant (VPA)
- AI Copilot
- Customer Segmentation
- Collaboration Tools
- Data Import/Export
- Generative AI
- For eCommerce
- Role-Based Permissions
- Customizable Branding
- Search/Filter
- Monitoring
- Document Management
- API
- Data Visualization
- Trend Analysis
- Machine Learning
- Access Controls/Permissions
- Alerts/Escalation
- Performance Metrics
- Real-Time Data
- Third-Party Integrations
- Mobile App
- Multiple Data Sources
- For Sales Teams/Organizations
- Sentiment Analysis
- Activity Dashboard
- Chatbot
- Workflow Automation

**Data Source Access**
- Breadth of Data Sources
- Ease of Data Connectivity
- API Connectivity

**Administration**
- Quality Control
- Data Sampling
- Collaboration
- Multiple Data Sources
- Real-Time Data
- Statistical Process Control

**Management**
- Reporting
- Auditing

**System**
- Data Ingestion & Wrangling
- Real-Time Data

**Data Preparation**
- Connectors
- Data Governance

**Responses**
- Personalization
- Route To Human
- Natural Language Understanding (NLU)
- Multi-Language

**Automation - AI Agents**
- Sales Follow-Up
- Customer Interaction Automation
- Lead Generation
- Document Processing
- Feedback Collection
- Natural Language Processing
- Simulation and Scenario Generation

**Customization - AI Agent Builders**
- Natural Language Configuration
- Tone Customization
- Security Guardrails
- API Security
- Data Security
- Authentication

**Data Ingestion & Preparation - Low-Code Machine Learning Platforms**
- Automatic Data Profiling & Quality Assessment
- Multi‑Source Connector Support
- Schema Drift / Change Detection

**Data Connectivity and Prep - Agentic Analytics**
- Data Source Connectivity
- Automated Data Preparation

**Statistical Tool**
- Scripting
- Data Mining
- Algorithms

**Model Development**
- Language Support
- Drag and Drop
- Pre-Built Algorithms
- Model Training
- Database Support
- Multi-Language

**Data Interaction**
- Profiling and Classification
- Metadata Management
- Data Modeling
- Data Joining
- Data Blending
- Data Quality and Cleansing
- Data Sharing
- Data Governance

**Capabilities**
- Data Visualization
- Survival Analysis
- Risk Data Attributes
- Cost Analysis
- Multivariate Analysis
- What-if Analysis
- Statistical Analysis
- Bayesian Analysis
- Trend Analysis
- Regression Analysis

**Functionality**
- Extraction
- Transformation
- Loading
- Automation
- Scalability
- Non-Relational Transformations
- Data Extraction

**Model Development**
- Feature Engineering

**Data Modeling and Blending**
- Data Querying
- Data Filtering
- Data Blending
- Data Capture and Transfer

**Platform**
- Conversation Editor
- Integration
- Human-In-The-Loop
- Drag & Drop Editor
- Human-in-the-loop (HITL)

**Autonomy -  AI Agents**
- Independent Decision Making
- Adaptive Responses
- Task Execution
- Problem Solving

**Functionality - AI Agent Builders**
- Omni-channel Support
- Agent Branding
- Proactive Response Capabilities
- Seamless Human Escalation
- Multimedia Support
- Multi-Modal Input Support

**Model Construction & Automation - Low-Code Machine Learning Platforms**
- Guided Algorithm & Hyperparameter Recommendation
- Code Extensibility
- Automated Feature Engineering

**Autonomous Insight Generation - Agentic Analytics**
- Continuous Pattern Detection
- Multi‑Step Reasoning
- Predictive & Prescriptive Analytics

**Additional Functionality**
- Data Mapping
- Monitoring
- Charting
- Integration Management
- Reporting/Analytics
- Ad hoc Analysis
- Access Controls/Permissions
- API
- Match & Merge
- Real-Time Monitoring
- Metadata Management
- Pipeline Management
- Job Scheduling
- Dashboard Creation
- Data Storage Management
- Multiple Data Sources
- Data Import/Export
- Generative AI
- Data Quality Control
- Data Connectors
- Customizable Reports
- Single Sign On
- Version Control
- Visual Analytics
- Accounting Integration
- Real-Time Data
- eCommerce Management
- AI Copilot
- CRM
- Data Visualization
- SSL Security
- Search/Filter
- Real-Time Analytics
- Data Capture and Transfer
- Collaboration Tools
- Performance Management
- Data Synchronization
- Drag & Drop
- Data Replication
- Activity Dashboard
- Database Support
- Workflow Management
- Alerts/Notifications
- Predictive Analytics
- Data Migration
- Third-Party Integrations
- Reporting & Statistics
- Data Analysis Tools

**Data Analysis**
- Analysis
- Data Interaction
- Time Series Analysis
- Trend Analysis

**Machine/Deep Learning Services**
- Computer Vision
- Natural Language Processing
- Natural Language Generation
- Artificial Neural Networks

**Data Exporting**
- Breadth of Integrations
- Ease of Integrations
- Data Workflows

**Methodology**
- ANOVA Support
- Regression
- Time Series Analysis

**Machine/Deep Learning Services**
- Natural Language Understanding
- Deep Learning

**Generative AI**
- AI Text Generation
- AI Text Summarization
- Generative AI

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Data and Analytics - AI Agent Builders**
- Analytics & Reporting
- Contextual Awareness
- Data Privacy Compliance

**Agentic AI - AI Agents**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Interaction and Workflow - Agentic Analytics**
- Natural Language Query and Conversational Analytics
- Action Triggering & Workflow Orchestration
- Explainability & Audit Trails

**Additional Functionality**
- Agent Collaboration
- Data Governance
- Prompt Engineering
- Feedback Management
- For No-Code Development
- Version Control
- Role-Based Permissions
- Dynamic Modeling
- API
- Memory Management
- Monitoring
- Scalability
- Cost Management
- Scheduling
- Natural Language Interface
- Access Controls/Permissions
- Multiple LLM Models
- Integration Management
- Customizable Frameworks
- Pre-built Templates
- Analytics
- Intent Recognition
- Contextual Guidance
- Rules-Based Workflow
- Attended Automation
- Drag & Drop
- For Sales/Marketing
- Generative AI
- Business Process Automation
- AI Copilot
- Third-Party Integrations
- Multi-Channel Communication
- Sentiment Analysis
- Deep Learning
- Code-free Development
- Compliance Management
- Automated Responses
- Knowledge Management
- Transfers/Routing
- Personalization
- Activity Dashboard
- Customer Experience Management
- Virtual Personal Assistant (VPA)
- Chatbot
- Speech Recognition
- Reporting/Analytics
- Task Management
- Customer Engagement
- AI/Machine Learning
- Configurable Workflow
- Unattended Automation
- Conversation Intelligence
- Workflow Automation
- Proactive Error Detection

**Decision Making**
- Modeling
- Data Visualizations
- Report Generation
- Data Unification
- Customizable Reports

**Deployment**
- Managed Service
- Application
- Scalability

**Generative AI**
- AI Text Generation
- AI Text Summarization
- Generative AI

**Generative AI**
- AI Text Generation
- Generative AI

**Integration - AI Agent Builders**
- Workflow Automation
- API Usage
- Platform Interoperability
- CRM Data Integration
- Third-Party Integrations

**Agentic AI - Analytics Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making
- Third-Party Integrations

**AI Agent Management - Agentic Analytics**
- Agent Configuration & Goals
- Continuous Learning & Feedback

**Additional Functionality**
- Customizable Reports
- Collaboration Tools
- Data Extraction
- Semantic Search
- Data Storage Management
- Ad hoc Reporting
- Reporting/Analytics
- Predictive Analytics
- Activity Dashboard
- Access Controls/Permissions
- Visual Analytics
- Data Mapping
- Data Synchronization
- Statistical Analysis
- Categorization/Grouping
- Trend Analysis
- Data Profiling
- Linked Data Management
- Data Visualization
- API
- Multiple Data Sources
- Sentiment Analysis
- Search/Filter
- Data Import/Export
- Data Capture and Transfer
- AI Copilot
- Monitoring
- Data Connectors
- Ad hoc Analysis
- Text Mining
- Reporting & Statistics
- Predictive Modeling
- Real-Time Analytics
- Configurable Workflow
- Tagging
- Endpoint Management
- No-Code
- Data Preparation
- Auditing
- Big Data Analytics
- ML Algorithm Library
- Data Management
- Activity Tracking
- Data Security
- Workflow Management

**Additional Functionality**
- Data Analysis Tools
- AI/Machine Learning
- Data Extraction
- Reporting/Analytics
- AI Copilot
- Data Mapping
- ETL
- Big Data Analytics
- Data Quality Control

**Additional Functionality**
- Compliance Tracking
- Real-Time Reporting
- Statistical Simulation
- Forecasting
- Neural Network Modeling
- Visual Analytics
- Access Controls/Permissions
- Data Connectors
- Customizable Reports
- Drag & Drop
- Self Service Data Preparation
- Performance Metrics
- Data Transformation
- Activity Dashboard
- Data Extraction
- Reporting/Analytics
- Predictive Analytics
- API
- AI Copilot
- Association Discovery
- Ad hoc Reporting
- Reporting & Statistics
- Third-Party Integrations
- Customization
- Search/Filter
- Monitoring
- Data Clustering
- Data Import/Export
- SSL Security
- File Storage
- Decision Tree
- Multiple Scoring Models

**Additional Functionality**
- Version Control
- Scalability
- Personalization
- Data Extraction
- Webhooks
- API
- Natural Language Processing
- Fallback Handling
- Drag & Drop
- Multiple LLM Models
- Built-in AI Assistant
- Automated Testing
- Data Governance
- Collaboration Tools
- Pre-built Templates
- Agent Design Tools
- Deep Learning
- Model Training
- Analytics
- Single Sign On
- Debugging
- Deployment Management
- Proactive Error Detection

**Self Service **
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling
- Natural Language Search
- Visual Discovery
- Data Blending
- Data Blending

**Generative AI**
- AI Text Generation
- AI Text Summarization
- Generative AI

**Generative AI**
- AI Text Generation
- AI Text Summarization
- AI Text-to-Image
- Generative AI

**Deployment & Integration - Analytics Platforms**
- No-code Dashboard Builder
- Report Scheduling and Automation
- Embedded Analytics and White-labeling
- Data Source Connectivity
- Multiple Data Sources
- Query Builder

**Additional Functionality**
- Demand Forecasting
- AI/Machine Learning
- Drag & Drop
- For Healthcare
- Forecasting
- Data Extraction
- Third-Party Integrations
- Decision Support
- Modeling & Simulation
- Alerts/Notifications
- Reporting/Analytics
- Multiple Data Sources
- For Retail
- For Education
- Data Discovery
- Graphical Workflow Editor
- Performance Metrics
- Business Rules Management
- AI Copilot
- Natural Language Processing
- Data Transformation
- Data Clustering
- API
- Data Blending
- Data Classification
- Workflow Management
- Workflow Automation

**Advanced Analytics**
- Predictive Analytics
- Data Visualization
- Big Data Services
- Real-Time Analytics
- Reporting/Analytics
- Real-Time Analytics
- Reporting/Analytics
- Visual Analytics

**Agentic AI - Data Science and Machine Learning Platforms**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making
- Third-Party Integrations

**Performance & Scalability - Analytics Platforms**
- Large data handling and Query Speed
- Concurrent User Support
- Database Support

**Advanced Analytics & Modeling - Analytics Platforms**
- Data Modeling and Governance
- Notebook and Script Integration
- Built-in Predictive and Statistical Models

**Agentic AI Capabilities - Analytics Platforms**
- Auto-generated Insights and Narratives
- Natural Language Queries
- Proactive KPI Monitoring and Alerts
- AI Agents for Analytical Follow-ups

**Personalized Intelligence - Analytics Platforms**
- Behavioral Learning for Contextual Query Refinement
- Role-based Insight Personalization
- Conversational and Prompt-based Analytics
- Ad hoc Query
- Visual Analytics

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs
- Real-Time Data
- Real-Time Data
- Third-Party Integrations
- Third-Party Integrations

**Additional Functionality**
- Drag & Drop
- Secure Data Storage
- Data Import/Export
- Customizable Branding
- Dashboard Creation
- Access Controls/Permissions
- Real-Time Reporting
- Metadata Management
- Forecasting
- Data Storage Management
- Ad hoc Analysis
- Ad hoc Reporting
- Data Migration
- AI Copilot
- Self Service Data Preparation
- Search/Filter
- Data Mapping
- Monitoring
- Sentiment Analysis
- User Management
- Sales Trend Analysis
- Charting
- Reporting & Statistics
- Performance Metrics
- Alerts/Notifications
- Data Extraction
- Widgets
- Storytelling
- Trend Analysis
- Collaboration Tools
- Financing Management
- Self-service Analytics
- KPI Monitoring
- Dashboard
- API
- Data Integration
- Scorecards
- Data Management
- Task Management
- Progress Tracking
- Data Connectors
- Data Visualization
- Profitability Analysis
- Project Tracking
- Strategic Planning
- Goal Setting/Tracking
- Publishing/Sharing
- Predictive Analytics
- Real-Time Monitoring
- Templates
- Mobile Access
- Customizable Templates
- Workflow Management
- Financial Reporting
- Audit Management
- OLAP
- Single Sign On
- Data Synchronization

## Top KNIME Alternatives
  - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (863 reviews)
  - [Dataiku](https://www.g2.com/products/dataiku/reviews) - 4.4/5.0 (214 reviews)
  - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,685 reviews)

