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.
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"The value add of Alteryx is the agility for making changes, and speed of deployment."
"The most valuable feature of this solution is data preparation."
"It is a stable and scalable solution."
"Technical support is very helpful."
"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."
"It allows for manipulation and automation, which has greatly reduced the amount of time required per project."
"This solution is easy to use and it can be used to create any kind of model."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"The product is open-source and therefore free to use."
"There are a lot of connectors available in KNIME."
"KNIME is quite scalable, which is one of the most important features that we found."
"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."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"There are a few imputation techniques which they really need to include."
"It would be great if Alteryx could take third party tools and incorporate them."
"There could be a bit of improvement related to performance. Sometimes it demands a lot of resources for running it, like memory and search."
"Alteryx's predictive data models are pretty average and can be improved."
"Alteryx is just as complicated as coding, in my opinion."
"I think they should really work on integrating or have a capacity to integrate some algorithmic code. I think that's one of the most important things they need to be doing."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"KNIME is not scalable."
"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."
"The ability to handle large amounts of data and performance in processing need to be improved."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
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 Databricks, Dataiku Data Science Studio, RapidMiner, Microsoft Power BI and Qlik Sense, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Weka, Dataiku Data Science Studio and IBM SPSS Modeler. 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)