IT Central Station is now PeerSpot: Here's why

KNIME Valuable Features

LaurenceMoseley - PeerSpot reviewer
Professor of Health Services Research at a university with 1,001-5,000 employees

I used to be a Pascal programmer, and then I did a bit of Python. It does many of the things that I would've had to do in code without using code. I don't think it does everything, but it does most of what I need to do.

It can read many different file formats. It can very easily tidy up your data, deleting blank rows, and deleting rows where certain columns are missing. It allows you to make lots of changes internally, which you do using JavaScript to put in the conditional.

For example, I have one data set whereby all of the data is encoded and there was one variable called code or something like that and it had codes for what the topic was, which was being discussed, whether it was positive or negative, whether it was strongly worded or weakly worded, and so many other things like that.

I had to transfer those into columns, like sentiment, strength of sentiments, topic being discussed. I had to split it up into columns, and I could do that very easily, like simple JavaScript, in their column expressions.

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.

They are also very careful with things like lab variance and issued variance, because they have some labs that develop nodes, new chunks of code which are represented as an icon. They make it very clear that those lab ones are not fully tested, and they're very glad to get comments back if you have problems.

I haven't had that difficulty myself. They seem to be aware that they have the community there as their testing base, and they seem not to be embarrassed about that. They will tell you when they go wrong and try to put it right.

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SnehaaSelvakumaran - PeerSpot reviewer
BI Solutions Developer at a tech services company with 201-500 employees

The data analytics capabilities in KNIME are excellent. It's not just a statistical ETL tool. We can go deeper and do various types of tasks beyond straight analytics.

The product is open-source and therefore free to use.

The solution offers lots of different options.

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HA
Senior Vice President at a financial services firm with 10,001+ employees

From a user-friendliness perspective, it's a great tool.

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Buyer's Guide
KNIME
June 2022
Learn what your peers think about KNIME. Get advice and tips from experienced pros sharing their opinions. Updated: June 2022.
610,336 professionals have used our research since 2012.
Vivek Rane - PeerSpot reviewer
CEO at Alpha Analytics

We find KNIME useful and convenient for data preparation.

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Benedikt Schwaiger - PeerSpot reviewer
CEO at SMH - Schwaiger Management Holding GmbH

All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function.

Technical support has been extremely responsive so far.

The solution has a very strong and supportive community that shares information and helps each other troubleshoot.

The solution is very stable.

The initial setup is pretty simple and straightforward.

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Piotr Świątek - PeerSpot reviewer
Test Engineer at ProData Consult

What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.

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KS
Crystallization Lab Analyst at a pharma/biotech company with 10,001+ employees

Overall KNIME serves its purpose and does a good job.

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Sanyam Jangir - PeerSpot reviewer
Vice President Business Transformation at AJA

KNIME has a good set of features for data analytics.

The sampling features are some of the most important ones for us.

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Vivek Rane - PeerSpot reviewer
CEO at Alpha Analytics

Data preparation and data modeling are easy to do.

It is very fast to develop solutions.

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Lasse Seppänen - PeerSpot reviewer
Principal Lecturer at HAMK

I've been using some of the analytics and photo manipulation features. I'm a teacher, and I've been using KNIME in my university.

It's a huge tool with machine learning features as well.

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SN
Solutions Architect at a retailer with 10,001+ employees

The solution allows one to do many things, including data preparation. I was able to apply basic algorithms through just dragging and dropping. This in contrast to Python and other solutions, which involve much coding. 

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KH
Trainer at a government with 10,001+ employees

It can handle an unlimited amount of data, which is the advantage of using Knime.

It already has algorithms included.

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SG
Research Analyst at a university with 51-200 employees

The most valuable feature is the data wrangling, which is what I mainly use it for.

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AL
Professor at a university with 51-200 employees

The solution is good for teaching, since there is no need to code. When teaching, the work flow, the process, is easy to explain to students. They understand that there are four steps in data mining on the machine learning project. Data must be injected and cleaned, after which engineering features must be made. Finally, the model must be created and deployed. Both KNIME and RapidMiner have these capabilities.

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Gergely Tamás - PeerSpot reviewer
Director at Applied Logic Laboratory

It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript. 

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TL
Business Analyst - Asia Pacific at Richemont

We have found KNIME valuable when it comes to its visualization.

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Buyer's Guide
KNIME
June 2022
Learn what your peers think about KNIME. Get advice and tips from experienced pros sharing their opinions. Updated: June 2022.
610,336 professionals have used our research since 2012.