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."From a user-friendliness perspective, it's a great tool."
"This solution is easy to use and especially good at data preparation and wrapping."
"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."
"I was able to apply basic algorithms through just dragging and dropping."
"We have found KNIME valuable when it comes to its visualization."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"It's a huge tool with machine learning features as well."
"We can deploy the solution in a cluster as well."
"The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it."
"The solution is configurable and flexible. We can customize the dashboards and configure the interface the way that we want. The data can be manipulated and arranged in different ways, such as columns."
"Its dashboarding is the most valuable. It is easy to create visualizations and dashboards and import Excel sheets and ESP files in Tableau as compared to other tools."
"I have found Tableau easy to use and the features are superb."
"The Web Editing capabilities allow us to grant end users enough capabilities for them to do self-serve discovery without the added cost of needing to get everyone desktop licenses."
"I believe one of the most valuable features of the solution is trend analysis."
"Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis."
"The most valuable features are data discovery and fine visualizations."
"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."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"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."
"The ability to handle large amounts of data and performance in processing need to be improved."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"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."
"At the organizational level, increasing the servers' capabilities to support us as an enterprise tool."
"What is happening, with so many tools coming up in the market, is that people have to continuously get educated in order to use some of the more advanced features."
"Its price should be improved. Its price is much higher than Power BI and QlikView. Programming is not easy on Tableau. For programming, you have to have a separate model. They should include programming directly on the web portion of the Tableau desktop so that people can write Python or JavaScript code for customizations instead of using a different model. Currently, Tableau Data Prep is a separate application that you have to purchase. It would be helpful if they can include Tableau Data Prep and programming languages such as R, Python in the next version. Tableau Public, which is a community version, doesn't allow you to save your work on your desktop. They should allow it. Currently, you can only upload it in the community."
"The data preparation could integrate better with Tableau."
"The interface can be improved, in part because there is no indication that something is running or that it's processing."
"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."
"The charting is overly complex in comparison with Power BI's"
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
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 and H2O.ai, whereas Tableau is most compared with Microsoft Power BI, Domo, Amazon QuickSight, 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.