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."Overall KNIME serves its purpose and does a good job."
"I would rate the stability of KNIME a ten out of ten."
"KNIME is easy to learn."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"We are able to automate several functions which were done manually. I can integrate several data sets quickly and easily, to support analytics."
"The ETL which helps me to collect, reformat, and load the data from multiple sources into one destination, a storage database."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"This open-source product can compete with category leaders in ELT software."
"Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis."
"The stability seems to be very reliable."
"Compared to other products, visualization features are really good."
"This service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases)."
"Show Me is a feature to help with knowing which chart is an appropriate one for the selected variables, and it makes helps in creating appropriate visuals."
"Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."
"You can create attractive dashboards that inform users using Tableau."
"Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis."
"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."
"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."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"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 dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."
"From the point of view of the interface, they can do a little bit better."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"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."
"A strict security measure is needed. I believe it is weak in terms of security."
"We did have issues with Tableau 10.1 server with the brokers failing on heavy load but since moving to 10.2, then to 10.3, this issue seems to have been resolved and the environment is now quite stable."
"The process of embedding the dashboards on external portals and websites could be improved."
"It should have more integration with different tools and technologies. Its licensing cost should also be improved."
"If they could add global filters in the stories, more chart types, and default colours, it would help."
"The cost of owning the solutions from Tableau is much higher compared to any other analytical solutions."
"The integration with other program languages, like Python, needs to be better."
"There are not enough language options. It needs to be offered in more than just English."
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.
