We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"The product's Macros probably are one of the most useful aspects."
"The connectors are a very good feature."
"The solution has been stable."
"The design portion of this tool is easy to use without code, which his something that something we can appreciate."
"Good data transformation."
"Alteryx is so advanced. It's just drag and drop."
"It is very fast to develop solutions."
"I was able to apply basic algorithms through just dragging and dropping."
"The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes."
"This solution is easy to use and especially good at data preparation and wrapping."
"It's a coding-less opportunity to use AI. This is the major value for me."
"This solution is easy to use and it can be used to create any kind of model."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"I honestly can't think of anything that needs to be improved."
"It would be great if Alteryx could take third party tools and incorporate them."
"The solution can be quite complex in some aspects."
"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."
"The solution just lacks in terms of data visualization. That is why we use Tableau and Qlik in our organization. They help to pick up the slack. If data visualization was added, Alteryx would be a very good tool, and much more complete."
"The server is too expensive for what you get and it really a designer desktop on a server."
"Alteryx is just as complicated as coding, in my opinion."
"They can provide some pre-built tools for predictive analytics instead of us having to build all the tools. It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently."
"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."
"There should be better documentation and the steps should be easier."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"From the point of view of the interface, they can do a little bit better."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"If they had a more structured training model it would be very helpful."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"There is a license required for this solution."
"I don't know much about the licensing, but there are some additional costs for certain features."
"In order to have designers, and, if you want to collaborate, you have to buy a server. If the designer is $5,000, and if you want a server, you have to pay $80,000."
"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
"Its price should be lower. The key thing that we see is that talking about ROI is an important element at the time of purchase. Cost becomes a factor in every discussion. Justifying the ROI for these kinds of workflows is always a challenge, and the only way to counter the challenge is by addressing the pricing."
"The pricing is $5000 per year per production license."
"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."
"There are some implementation services and internal effort costs at the beginning but there is nothing else."
"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."
"This is an open-source solution that is free to use."
"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
"There is a Community Edition and paid versions available."
"KNIME assets are stand alone, as the solution is open source."
"It's an open-source solution."
"The price for Knime is okay."
"At this time, I am using the free version of Knime."
Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.
Alteryx is ranked 1st in Data Science Platforms with 29 reviews while KNIME is ranked 3rd in Data Science Platforms with 15 reviews. Alteryx is rated 8.2, while KNIME is rated 8.2. The top reviewer of Alteryx writes "Does a good job of end-to-end integration as well as accessing data from multiple sources or email modes". On the other hand, the top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". Alteryx is most compared with Dataiku Data Science Studio, Databricks, SAS Enterprise Guide, RapidMiner and Microsoft BI, whereas KNIME is most compared with RapidMiner, Databricks, Weka, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio. See our Alteryx vs. KNIME report.
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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.