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."It can handle an unlimited amount of data, which is the advantage of using Knime."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."
"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."
"KNIME is fast and the visualization provides a lot of clarity. It clarifies your thinking because you can see what's going on with your data."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"This solution is easy to use and it can be used to create any kind of model."
"Easy to create graphs and visualizations."
"We found Tableau has the quickest learning time out of the few other BI reporting tools that we have used."
"It's intuitive and highly mature"
"The most valuable features of the solution are the permission management and the user management."
"Self-service is most valuable. Users can pick up quickly and do the resolution. There are a lot of out-of-the-box features, and it satisfies most of the needs. If users are properly trained, they can deal with any situation."
"The most valuable feature is the drag and drop, then the simplicity to build dashboards which allows us to provide more usable data to our customers."
"Tableau is easy to use."
"Tableau will automatically show charts for the related data that I choose making it very easy to use."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"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."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
"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."
"There should be better documentation and the steps should be easier."
"It could be easier to use."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"The documentation needs a proper rework. "
"Users would like to be able to export an Excel file when they see a table or something like that. That's not an out-of-the-box feature for Tableau."
"Improvements can be made in template support. The workbook file structure is really hard to version control. If there was some sort of version control support offered particularly for workbooks, that would help big time."
"Bursting email is needed to deliver the reports to many people in their inboxes and this functionality is not provided by Tableau."
"I would like Tableau to handle geospatial data better in terms of multiple layers and shapefiles."
"The charts need to be improved. The drawings and the visualization need to be more accurate."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."
"I take a long time to process the hundreds of thousands or millions of records that must be processed every day."
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, 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.