We performed a comparison between KNIME and Teradata Analytics [EOL] 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."
"The solution is good for teaching, since there is no need to code."
"KNIME is quite scalable, which is one of the most important features that we found."
"I've tried to utilize KNIME to the fullest extent possible to replace Excel."
"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."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"What I like most about KNIME is that it's user-friendly. It's a low-code, no-code tool, so students don't need coding knowledge. You can make use of different kinds of nodes. KNIME even has a good description of each node."
"Provides ease of formulating a solution based on SQL-like queries."
"It has been fantastic for running complete data sets (no sampling required)."
"nPath has made journey/path analysis much easier."
"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."
"The documentation needs a proper rework. "
"The documentation is lacking and it could be better."
"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."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"The data visualization part is the area most in need of improvement."
"The ability to handle large amounts of data and performance in processing need to be improved."
"We have struggled with uptime. Some of the features need to be updated."
"I would like to see more/better documentation. They also need to enhance analytic/data science algorithms."
"I have found some problems with the figures depicted on graphs and figures shown, like scores which could not be negative but which were depicted as such."
Earn 20 points
KNIME is ranked 1st in Data Mining with 50 reviews while Teradata Analytics [EOL] doesn't meet the minimum requirements to be ranked in Data Mining. KNIME is rated 8.2, while Teradata Analytics [EOL] is rated 7.0. 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 Teradata Analytics [EOL] writes "Streamlines formulating solutions based on SQL-like queries". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku Data Science Studio and Weka, whereas Teradata Analytics [EOL] is most compared with .
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.
