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.
"It has everything that one needs. Whatever you want to do with the data can be done with Alteryx."
"Alteryx has helped us spend more time identifying results instead of performing analysis manually. It has helped us in our loading process, including scrubbing data and identifying data elements that need to be corrected. It enables us to understand our data sets a lot better."
"The initial setup is easy."
"The tools are built-in. You just plug and play, drag and drop, once you understand how to use the tools, it is easy."
"It helps clean messy data and provides spatial analysis."
"The most valuable feature of Alteryx is the intelligence suite."
"The scheduling feature for the automation is excellent."
"It is efficient in optimizing our ability to get information."
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."
"I would rate the stability of KNIME a ten out of ten."
"It's a very powerful and simple tool to use."
"I've never had any problems with stability."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"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."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."
"Alteryx is just as complicated as coding, in my opinion."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"We are hoping that the NLP features will also support Chinese characters."
"The data integration component could most likely be improved to increase enterprise scalability."
"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."
"Alteryx could be improved in the area of analytics and central governance."
"The solution can be made more affordable."
"If they had a more structured training model it would be very helpful."
"Data visualization needs improvement."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"The ability to handle large amounts of data and performance in processing need to be improved."
"KNIME is not scalable."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"The documentation needs a proper rework. "
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.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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)