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."I was able to apply basic algorithms through just dragging and dropping."
"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."
"KNIME is quite scalable, which is one of the most important features that we found."
"It's a very powerful and simple tool to use."
"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 is a stable solution...It is a scalable solution."
"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."
"Tableau is easy to use and it has great predictive features."
"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."
"The use of a storyboard helps the flow of the data visualisation."
"It's very easy to visualize data with this product. The visualization maps of and frames that we have been able to cross-reference has been excellent."
"The feature that is currently most valuable is the import feature where I can link to an Excel data source. I'm not using it with any other data source, such as SQL Server. I directly link it to an Excel sheet, and if I change anything in that Excel sheet, the changed data immediately gets reflected in the virtualization. This is something that is very convenient for me as of now."
"I believe one of the most valuable features of the solution is trend analysis."
"The number one thing was just the ease of getting something up quickly. The other thing that was good about it was that it was fairly fast for decent-sized data sets in terms of performance and run time."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."
"KNIME's documentation is not strong."
"There should be better documentation and the steps should be easier."
"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."
"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."
"The data visualization part is the area most in need of improvement."
"The most difficult part of the solution revolves around its areas concerning machine learning and deep learning."
"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."
"Lacks customization in some areas."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"Improvements in schema security and row/column security need to be made."
"The charting is overly complex in comparison with Power BI's"
"More integration with Python or something related to machine learning would be a good improvement."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"There are not enough language options. It needs to be offered in more than just English."
"In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI."
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.