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."We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders."
"KNIME is easy to learn."
"From a user-friendliness perspective, it's a great tool."
"It is a stable solution...It is a scalable solution."
"This solution is easy to use and especially good at data preparation and wrapping."
"Overall KNIME serves its purpose and does a good job."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"Tableau is a fantastic tool that provides impressive dashboards and customized reports."
"Tableau's most valuable features are its ability to summarize data, provide dynamic controls for navigating different charts, and showcase historical data trends. I appreciate the option to colour-code different charts for improved customer experience."
"Its performance is pretty good, and the development time is very low."
"The ability of filtering and segmentation of the data makes it very flexible compared to other tools."
"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."
"It is an excellent tool for data capture, processing, and visualization."
"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."
"I believe one of the most valuable features of the solution is trend analysis."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"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."
"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."
"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 program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"The predefined workflows could use a bit of improvement."
"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."
"The forecasting feature in Tableau in my view is too limited because it must have dates but I should be able to predict the outcome of an event without having a date as part of the input."
"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."
"I would like to have the product be more flexible in terms of creating online shared dashboards."
"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."
"Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."
"With performance tuning, it generates a pretty complex query when it is not required."
"I would like Tableau Prep to be integrated with Tableau Desktop. I would also like more customizations for tables."
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.