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."Stability is excellent. I would give it a nine out of ten."
"Key features include: very easy-to-use visual interface; Help functions and clear explanations of the functionalities and the used algorithms; Data Wrangling and data manipulation functionalities are certainly sufficient, as well as the looping possibilities which help you to automate parts of the analysis."
"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."
"It's a huge tool with machine learning features as well."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"It is a stable solution...It is a scalable solution."
"I've never had any problems with stability."
"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"It's easy to use."
"It provides business users with a tool, so they are not dependent on IT."
"Tableau's most valuable features are user-friendliness and have a connection between multiple source systems. You can publish a report by using Tableau Public and there you can make your data online, not only batches of data, you can use it as an online analytical tool."
"I like the solution's web version, more so than Power BI's web version. It just makes it easier to drag and drop things and to blend data on the backend. It simplifies the process."
"The most important feature is the tool is very easy to use. This makes it simple to introduce it to CxOs. After a rapid demo, they are usual impressed by the results shown, because it has such a rare simplicity."
"The best part about Tableau is the visualization."
"Tableau is very flexible and easy to learn. It has drag-and-drop function analytics, and its design is very good. It is a very good tool, and it basically brings life into data with good design. We have been creating a lot of interactive visualizations and dashboards. It has a public version. There are public communities from where you can get a lot of examples for practice."
"It gives us a new dimension to the way that we analyse our data."
"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."
"The documentation is lacking and it could be better."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"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."
"Data visualization needs improvement."
"There are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"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 could improve when it comes to large data markets."
"When there are millions of records, scaling up is quite difficult."
"The charting is overly complex in comparison with Power BI's"
"I think Tableau could be improved with cheaper or more flexible licensing, though this is a generic improvement and applies for any product. It would be better if they had more flexible payment and licensing plans so that they could suit small- and mid-sized organizations."
"The price of Tableau is too high."
"Its price is a concern. It is more expensive than Power BI. The other thing that I never liked about Tableau is its ability to handle large sets of data. To present the data in the dashboards, we have to stage it up exactly like it is going to come into the dashboard. We use another tool called Alteryx that does that for us. So, we manipulate the data, get it staged, and then push it into Tableau. Tableau is terrible at handling large data sets, and we knew right away that we couldn't use Tableau to do data manipulation."
"With Tableau, when you're dealing with very large datasets, it can be slow so the performance is an area that can be improved."
"The charts need to be improved. The drawings and the visualization need to be more accurate."
"We have products like Tableau, Power BI, Cognos, and QlikView in the data visualization segment. Compared to those, Tableau is quite costly."
KNIME is ranked 1st in Data Mining with 50 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 292 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.
