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's a coding-less opportunity to use AI. This is the major value for me."
"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."
"The most valuable feature is the data wrangling, which is what I mainly use it for."
"Overall KNIME serves its purpose and does a good job."
"We have found KNIME valuable when it comes to its visualization."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"From a user-friendliness perspective, it's a great tool."
"Easy to use, stable, and powerful."
"The geospatial maps representation and the visualizations are nice."
"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 solution deployment was straightforward."
"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."
"It is easy to use, and it can handle a large amount of data."
"The solution allows for the possibility for end-users to do their own reporting."
"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."
"The ability of filtering and segmentation of the data makes it very flexible compared to other tools."
"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."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"The ability to handle large amounts of data and performance in processing need to be improved."
"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."
"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"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."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."
"Tableau's data modeling, mining, and AI library features need improvement."
"Lacks customization in some areas."
"When you create new fields in Tableau and you enter the formulas, there is a new small window that is there in the interface. You can enter the calculated fields, it could be more user-friendly. At this time it is limited and hard to understand at the beginning. The fields should be easier to use, such as in Microsoft Excel. You can have a difficult time understanding what to do in the fields, you end up doing trial and error to figure it out."
"It should offer better features for customization."
"The only issue with the solution is with its prices at a regional level."
"People are migrating to Microsoft BI due to the speed, which is quite slow to load, and the lack of visualization options."
"If they could add global filters in the stories, more chart types, and default colours, it would help."
"The pricing is a bit higher than the competition. They'll need to lower it to stay competitive."
KNIME is ranked 1st in Data Mining with 50 reviews while Tableau is ranked 2nd in BI (Business Intelligence) Tools with 290 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, Weka 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.
