We performed a comparison between Alteryx and KNIME based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Although KNIME’s open-source version is flexible and cost-effective and their service is top-notch, Alteryx offers an extremely intuitive intelligence suite and overall the solution is very robust and modern and the GUI is very user friendly. Ultimately, Alteryx finishes ahead of KNIME on most occasions.
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"The product's Macros probably are one of the most useful aspects."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"The most valuable feature of this solution is data preparation."
"Data processing is most valuable. It is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx."
"It helps clean messy data and provides spatial analysis."
"It saves time on a lot projects. "
"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."
"The most useful features are the readily available extensions that speed up the work."
"KNIME is easy to learn."
"KNIME is quite scalable, which is one of the most important features that we found."
"We have been able to appreciate the considerable reduction in prototyping time."
"Easy to use, stable, and powerful."
"I was able to apply basic algorithms through just dragging and dropping."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"The only weakness I would say is on the visualization side of having that dynamic incapability."
"Configuration is very low."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"There is currently no cloud solution and this would be valuable for many clients."
"Alteryx's predictive data models are pretty average and can be improved."
"Alteryx can improve the model management and deployment processing of large workloads."
"When a process completes there is a notification, but the notification does not include the process's name."
"I honestly can't think of anything that needs to be improved."
"The pricing needs improvement."
"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
"KNIME is not good at visualization."
"I'd like something that would make it easier to connect/parse websites, although I will fully admit that I'm not as proficient in KNIME as I would like to be, so it could be I'm just missing something."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Alteryx is rated 8.4, while KNIME is rated 8.2. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". Alteryx is most compared with Dataiku, Databricks, RapidMiner, Tableau and Microsoft Power BI, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Dataiku, Weka and Microsoft Azure Machine Learning Studio. See our Alteryx vs. KNIME report.
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Of those three you should consider alteryx, it saves time in ETL a lot, Alteryx is better at handling large data sets tan Knime and RapidMiner. But please also consider Dataiku... Up to 3 users it's free ;o)