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 value add of Alteryx is the agility for making changes, and speed of deployment."
"I like the fact that you can easily blend data from different platforms."
"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 is a stable and scalable solution."
"The three data signs and data engineering are great features."
"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful."
"The support is very good."
"The connectors are a very good feature."
"It's a coding-less opportunity to use AI. This is the major value for me."
"The most useful features are the readily available extensions that speed up the work."
"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."
"Overall KNIME serves its purpose and does a good job."
"From a user-friendliness perspective, it's a great tool."
"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."
"Easy to use, stable, and powerful."
"I've never had any problems with stability."
"More statistics tools: We can use to compare SPSS statistics with some automated advisory."
"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change."
"The solution can be quite complex in some aspects."
"From a commercial standpoint, more options should be available for pricing. The licensing model needs to be specific."
"The solution could work on the BI side of the tool to make it a bit better."
"There is currently no cloud solution and this would be valuable for many clients."
"If there is any way to make the learning curve less steep, that would be ideal."
"KNIME is not good at visualization."
"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"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."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"The pricing needs improvement."
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)