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 makes it easy for the end customer to see clean data in a structured form."
"I like that I can merge data from different sources into one place."
"One-stop shop for data preparation, blending, prediction, and optimization in a single workflow."
"The cloud deployment ensures it scales easily."
"Technical support is very helpful."
"The most valuable feature of Alteryx is user-friendliness."
"Alteryx is so advanced. It's just drag and drop."
"Good data transformation."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"Easy to use, stable, and powerful."
"It's a coding-less opportunity to use AI. This is the major value for me."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"There are a lot of connectors available in KNIME."
"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."
"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."
"The server is too expensive for what you get and it really a designer desktop on a server."
"The next feature release should include easier reporting."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"They should make the solution user-friendly for nontechnical people by giving specific names to the options."
"The solution can be made more affordable."
"The data visualization part is the area most in need of improvement."
"If they had a more structured training model it would be very helpful."
"The pricing needs improvement."
"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."
"The documentation is lacking and it could be better."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"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."
"Compared to the other data tools on the market, the user interface can be improved."
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)