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KNIME pros and cons

Vendor: Knime
4.0 out of 5
Badge Ranked 1
2,812 followers
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Pros & Cons summary

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Prominent pros & cons

PROS

KNIME allows for automation of several functions, enabling quick integration of data sets to support analytics.
The platform's extensions speed up work, making prototyping much faster.
Numerous connectors available in KNIME facilitate data integration from various sources and databases.
KNIME supports advanced analytics and machine learning, offering features like decision trees and neural nets.
Scalability is one of the key features, making KNIME suitable for handling large datasets.

CONS

System resource usage is high; KNIME can occupy total system RAM, causing other applications to hang.
Data visualization capabilities are lacking, requiring users to create their own visualization tools.
Documentation is insufficient and needs improvement.
Handling large files or databases is problematic, and performance suffers with data over 1GB.
There is a need for more comprehensive training materials and resources, including examples and webinars.
 

KNIME Pros review quotes

reviewer1260093 - PeerSpot reviewer
Aug 10, 2023
It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.
reviewer1260093 - PeerSpot reviewer
Apr 10, 2024
The hardest part is keeping a tidy workspace because of the many nodes involved. When teaching, it would be helpful if there was more emphasis on how to group nodes effectively. For example, turning frequently used nodes into a single component can simplify things.
AP
Aug 4, 2023
Stability is excellent. I would give it a nine out of ten.
Learn what your peers think about KNIME. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,053 professionals have used our research since 2012.
reviewer1260093 - PeerSpot reviewer
Jan 10, 2023
It's a very powerful and simple tool to use.
AK
Dec 30, 2019
This open-source product can compete with category leaders in ELT software.
VS
Mar 11, 2020
The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes.
SS
Oct 31, 2020
The product is open-source and therefore free to use.
HA
Oct 30, 2020
From a user-friendliness perspective, it's a great tool.
AltanAtabarut - PeerSpot reviewer
Mar 21, 2024
Since KNIME is a no-code platform, it is easy to work with.
KV Subbaiah Setty - PeerSpot reviewer
Dec 19, 2022
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.
 

KNIME Cons review quotes

reviewer1260093 - PeerSpot reviewer
Aug 10, 2023
Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself.
reviewer1260093 - PeerSpot reviewer
Apr 10, 2024
It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data.
AP
Aug 4, 2023
One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well.
Learn what your peers think about KNIME. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,053 professionals have used our research since 2012.
reviewer1260093 - PeerSpot reviewer
Jan 10, 2023
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.
AK
Dec 30, 2019
The ability to handle large amounts of data and performance in processing need to be improved.
VS
Mar 11, 2020
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.
SS
Oct 31, 2020
They should look at other vendors like Alteryx that are more user friendly and modern.
HA
Oct 30, 2020
If they had a more structured training model it would be very helpful.
AltanAtabarut - PeerSpot reviewer
Mar 21, 2024
KNIME is not good at visualization.
KV Subbaiah Setty - PeerSpot reviewer
Dec 19, 2022
KNIME could improve when it comes to large data markets.