KNIME Analytics Platform Reviews

What do you like best about KNIME?.I have learnt the actual motive of tool why it was madeWhat do you dislike about KNIME?Nothing much as there was nothing to dislikeWhat problems is KNIME solving and how is that benefiting you?Well it’s makes my

What do you like best about KNIME?Visual, low-code workflows make SAP-to-BigQuery pipelines easy to build and maintain. With KNIME Business Hub we schedule and share them centrally.What do you dislike about KNIME?Self-hosting Business Hub takes real admin effort (TLS, VM recovery). Large workflows can get memory-heavy and slow.What problems is KNIME solving and how is that benefiting you?KNIME automates our SAP data extraction into BigQuery. Manual exports are gone, and our BI portal gets fresh, consistent data for sales, production and controlling.

What do you like best about KNIME?KNIME can help improve the way I work in many ways, such as automating tasks, reducing workload, and more.What do you dislike about KNIME?I don’t like that I have to upload the workflow to the hub every time I make a change.What problems is KNIME solving and how is that benefiting you?Automation for manufacturing analytics.

What do you like best about KNIME?I like KNIME Software’s easy-to-use, maintainable UI and low-code experience. I also like its cross-platform connectivity and integration options, including connecting different data sources and triggering workflows using APIs. Getting started was easy.What do you dislike about KNIME?I find that the modern UI sometimes lacks features compared with the classic UI, like “run as on server.” The classic UI also had a better view of workflows, while in the modern UI I sometimes find it difficult to remember them.What problems is KNIME solving and how is that benefiting you?I use KNIME Software to automate data pipelines and create custom forms to collect data.

What do you like best about KNIME?It’s user-friendly, and it doesn’t require any coding or prior technical knowledge.What do you dislike about KNIME?It requires a little additional manual effort compared to Claude and other AI tools.What problems is KNIME solving and how is that benefiting you?I regularly analyze manual Excel stuff. The time I invested earlier is saving me a lot of time now.

What do you like best about KNIME?I like KNIME’s visual, node-based workflow design and its flexibility to integrate Python and Java when custom logic is needed. It makes complex data processing and automation workflows easier to build, understand, debug, and maintain.What do you dislike about KNIME?I feel there should be a node to write your own logs to track the WF from knime hubWhat problems is KNIME solving and how is that benefiting you?KNIME helps automate complex data processing, transformation, and validation tasks. It reduces manual effort and provides a flexible way to build, troubleshoot, and maintain workflows.

What do you like best about KNIME?I like KNIME Software's visual workflow builder, K-AI assistance, and the ease of automating complex tasks. The introduction of AI-powered features and workflows is impressive, as it simplifies complex tasks and reduces the initial learning curve, allowing more focus on solving business problems. The browser-based experience in the Business Hub is another highlight since it avoids installation hassles. Its integration with Python and enterprise data sources is particularly valuable for managing complex workflows efficiently.What do you dislike about KNIME?One improvement would be more ready-to-use templates and real-world use cases for common enterprise scenarios such as automated reporting, database migration, and system monitoring. Better documentation with practical examples would help users implement solutions faster. Enhanced version control and workflow comparison features would also make collaboration and maintenance easier. A centralized dashboard for tracking workflow performance, failures, and most importantly, resource usage would make troubleshooting easier and help administrators manage large-scale KNIME environments more efficiently. Additionally, better integration with monitoring tools, CI/CD pipelines, and automatic version control systems would further improve deployment, troubleshooting, and maintenance.What problems is KNIME solving and how is that benefiting you?KNIME Software automates repetitive tasks, integrates data from multiple sources, and simplifies complex data processing with visual workflows. K-AI speeds up development, and KNIME Business Hub minimizes configuration efforts, helping us focus more on business solutions and saving time while reducing manual errors.

What do you like best about KNIME?I really like KNIME Software for the capabilities it offers. It's great for basic tasks like data extraction, ETL, and automation, and recently I've been exploring its AI capabilities. Another thing I appreciate is how easy it is to learn the tool since it's a no-code-low-code tool, which has helped me quickly adopt advanced features. KNIME makes it easy to automate tasks, like finding outliers or anomalies and triggering emails for quick action. The initial setup was very easy, with support from the KNIME team in setting up the business hub, and downloading the desktop client is straightforward. I certainly recommend KNIME Software and have already encouraged friends and colleagues to explore the opportunities it offers.What do you dislike about KNIME?I found that KNIME struggles with large datasets. Recently, I worked on a 7 million record dataset, and my Python script failed due to a memory issue in the node.What problems is KNIME solving and how is that benefiting you?I use KNIME Software to automate daily tasks and data ingestion, improving our Power BI performance by handling data transformations efficiently. It also helps find anomalies in datasets, enhancing quick response capabilities.

What do you like best about KNIME?The workflow operation with the ability to create meta-nodes and comment within the workflow. Everything is in one place, allowing complexity to be hidden while remaining accessible. True no-code/low-code with no limits. Perfectly integrates with Big Data tools or industrial models (Kafka, RabbitMQ). Very quick to learn and implement. The integrated AI is a good support, and the available nodes allow for developing powerful models step by step. Completely free with no limitations other than deployment. Quite efficient to replace R or Python scripts, Excel macros. The ability to just copy-paste branches or start a new one from anywhere allows for working along the lines of creativity.What do you dislike about KNIME?Not enough graphical nodes (typically plotly graphs) natively yet. It wouldn't be complicated to add and would bring a lot for data mining. Fortunately, you can create a Python component once and then reuse it as a classic node (so without coding) and share it with colleagues.What problems is KNIME solving and how is that benefiting you?Allows for automating file mining, facilitating script construction. Makes complex models readable and thus maintainable.

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.