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."The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."
"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."
"I've never had any problems with stability."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"We can deploy the solution in a cluster as well."
"This open-source product can compete with category leaders in ELT software."
"It is very fast to develop solutions."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"Data Interpreter: Which can identify issues or potential errors with your imported data."
"It is easy to use, and it can handle a large amount of data."
"Tableau is an advanced specialized tool. One of the best features I've seen is the lack of an intermediate semantic layer. I think that's an advantage compared to any other tool like BusinessObjects or Power BI, which are Tableau's biggest competitors."
"I like the calculation feature. I would not say it's such a good feature in Tableau, but if you have the knowledge, you can make that feature visible to everyone. It's not a feature that we can drag and drop and get the information. But whatever the data, whatever the calculation, I'm able to do. It's basically the knowledge base. Whatever knowledge I have, I can make that information public and publish it for management."
"Tableau has comprehensive, insightful charts, which allow you to build stunning dashboards and enrich your support decision-making."
"It is a stable solution."
"It's very easy to use and users don't need any IT support to access it as the information is right there."
"The most valuable feature is that we can integrate with our own database, and it will displays the KPIs. This is highly required from the business side."
"In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations."
"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"I've had some problems integrating KNIME with other solutions."
"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 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."
"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."
"There should be better documentation and the steps should be easier."
"What is happening, with so many tools coming up in the market, is that people have to continuously get educated in order to use some of the more advanced features."
"The customization in the front end is a bit difficult."
"The product needs to allow for better ways to drill down more effectively on the information at hand."
"The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough."
"The charting is overly complex in comparison with Power BI's"
"The extraction, transformation and loading of data in Tableau takes a lot of time and we do not have confidence that Tableau is showing all the data we need."
"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."
"There could be improvements on the mobile application, it is lacking features."
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 Data Science Studio 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.
