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 provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"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."
"This solution is easy to use and especially good at data preparation and wrapping."
"It's a very powerful and simple tool to use."
"It is very fast to develop solutions."
"We can deploy the solution in a cluster as well."
"Easy to use, stable, and powerful."
"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."
"When compared to Power BI, Tableau has more readily available resources."
"I work for clients. That is my business model. Business people really like to see Tableau. They love Tableau because it is very user-friendly. The platform provides an easy to use interface, which is what most people like about it."
"The solution allows for the possibility for end-users to do their own reporting."
"This solution has transformed us from an Excel reporting environment to one of visual exploration."
"The most valuable feature is the aggregation function."
"Our customers love the visual capabilities on top of it and the ability to explain and get the required data. There is no other product like Tableau in the business intelligence and analytics space."
"Tableau has many good features. It is user-friendly, has a simple-to-use interface, and has a customizable dashboard."
"There should be better documentation and the steps should be easier."
"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."
"The ability to handle large amounts of data and performance in processing need to be improved."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"The documentation needs a proper rework. "
"It's pretty straightforward to understand. So, if you understand what the pipeline is, you can use the drag-and-drop functionality without much training. Doing the same thing in Python requires so much more training. That's why I use KNIME."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"I would prefer to have more connectivity."
"It needs a little bit more advanced modeling. I would like to see functionality like Cognos has in the Framework Manager."
"The development part should be better. We are putting a lot of effort in during development, so if we face any struggles, we have to find workaround solutions on the internet."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"Overall, the only major frustration that I have had so far is with Tableau Public. I first used Tableau Public when I was building capacity, and when there was a later release to download and you wanted to upgrade, all your work would have to be manually re-entered."
"It needs more ETL capabilities, to be able to address the end-to-end BI need."
"If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes."
"We have products like Tableau, Power BI, Cognos, and QlikView in the data visualization segment. Compared to those, Tableau is quite costly."
"Areas for improvement would be visualization and augmented analytics. In the next release, I would like to see automated insights from the data added to the dashboard."
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.