We performed a comparison between KNIME and Tableau based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."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."
"It is a stable solution...It is a scalable solution."
"The product is open-source and therefore free to use."
"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."
"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."
"The solution is good for teaching, since there is no need to code."
"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."
"Analysis is now more visual than in the past."
"It is a stable solution."
"The most important feature in Tableau is visual analytics."
"I love the customization skills that Tableau has, it is not restricted to what is built-in already."
"Show Me is a feature to help with knowing which chart is an appropriate one for the selected variables, and it makes helps in creating appropriate visuals."
"There are already connectors to almost every single major database and service that you can possibly think of."
"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."
"Compared to other products, visualization features are really good."
"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."
"KNIME's documentation is not strong."
"It could be easier to use."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."
"Though I can use KNIME in a 64-bit platform in the lab, it's missing some features. For example, from my laptop, I can use the image reader feature of KNIME. However, in the lab, the image reader node is missing."
"The documentation is lacking and it could be better."
"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."
"Licensing and pricing options could be made better so that more users would be able to use it."
"Whenever it comes to specialized visualization, Tableau is an absolute failure."
"The customization in the front end is a bit difficult."
"The data processing in Tableau is pathetic compared to Qlik."
"I would like them to include the Italian language, as I can see there are other foreign language in the product."
"The solution does have scalability issues."
"It should have more integration with different tools and technologies. Its licensing cost should also be improved."
"When we put more information on a single screen, it gets compressed and superimposed in many places while scrolling."
KNIME is ranked 1st in Data Mining with 50 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 293 reviews. KNIME is rated 8.2, while Tableau is rated 8.4. The top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". On the other hand, the top reviewer of Tableau writes "Provides fast data access with in-memory extracts, makes it easy to create visualizations, and saves time". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku Data Science Studio and H2O.ai, whereas Tableau is most compared with Microsoft Power BI, Amazon QuickSight, Domo, SAS Visual Analytics and Databricks.
We monitor all Data Mining 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.
