KNIME Platform

(13)
4.3 out of 5 stars

KNIME® is an open source data analytics, reporting and integration platform.

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KNIME review by <span>Bob M.</span>
Bob M.
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Powerful & Easy to Use

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What do you like best?

KNIME offers a delightful blend of power and ease-of-use. It uses a workflow (flowchart) interface. It offers you a collection of icons that represent steps in your analysis. You position each icon in a diagram and connect them with arrows that represent the flow of data or models from step to step. Double-clicking on an icon will open a dialog box allowing you to set the parameters of how that step should run.

You can document the workflow by clearly labeling each step, and by color coding entire sections of the diagram. As a result, you can look at another person's analysis and quickly get the big picture of what was done. If a diagram gets too complex, you can select a whole section of it and collapse it into a "metanode" so that one icon then represents all the steps. It's also easy to rerun an analysis on new data by simply changing the node(s) that read in data. Note that KNIME does not have a scripting language, nor does it need one.

I particularly like the company's view of open source software. The full desktop version of KNIME is free and open source, regardless of how much data you have. Its closest competitor price-wise is RapidMiner, which is free only if you have fewer than 10,000 cases. KNIME also offers excellent integration with a wide range of other open source software such as: Python, R, Spark, and even ImageJ for image analysis.

The server version of KNIME has a commercial license, i.e. not free. The company also sells software to let work groups share node libraries. For example, if I develop a new node in, say, R, and email it to everyone, then when I improve it, I'll have to email it again. Everyone using it would have to edit their work flows, but at least that's a free solution. However, if we purchase the collaboration extensions, I would make a change to the shared node, and everyone's work would be updated automatically. I appreciate having so much control over what to spend on a KNIME solution.

What do you dislike?

For data mining or machine learning tasks, it's quite comprehensive, very similar to what RapidMiner, SAS Enterprise Miner, or SPSS Modeler can do. However, compared to a full statistics package such as R, SAS, SPSS, or Stata, it's lacking quite a few statistical methods.

You would have to lean on R or Python if you need statistical analysis rather than data mining. Each new version of KNIME adds more statistics, but it looks like it will be quite a while before they can offer full statistical capabilities. Unfortunately, no one tool offers comprehensive data mining, statistical modeling, and ease-of-use. In the ratings section, I'm giving it full marks as a data mining / machine learning tool.

Recommendations to others considering the product

Make sure it has all the methods of analysis you need. If you're into data mining or machine learning, it's probably sufficient. If you're looking for advanced stat methods such as mixed effects linear models, you'll need to run that through an R node.

What business problems are you solving with the product? What benefits have you realized?

You can use KNIME to solve most any data mining or machine learning problem.

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KNIME review by <span>Chang-I W.</span>
Chang-I W.
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Tools for data science analyis

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What do you like best?

It has a simple interface and not hard to learn it with very clear block diagram design for each block By the way, it's easy to debug and has very direct set for each block. You can also set up for the block diagram the way you like and rearrange it anytime you want.

What do you dislike?

hard to import new function if want to add a new block. and it will become very slow when the database coming over 10 thousand

Recommendations to others considering the product

it's easy to learn and have lots powerful toolkit in it. very recommend

What business problems are you solving with the product? What benefits have you realized?

data science and data analysis. can use the different algorithm to calculate and predicted the result from the database.

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KNIME review by <span>Michael B.</span>
Michael B.
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What do you like best?

The ease of learning the software. for anyone who knows an intermediate amount of MS excel it can revolutionize the way you handle and work with your data.

What do you dislike?

the difficulty to write a concatenation string. Sure, there are js queries and sql that can do that for me, and i could write a function in to create a concatenation, but it seems like a basic function to have a simple node to concatenate text and numerical values.

Recommendations to others considering the product

if you have any complications with marginally big data management, knime is a free product that will allow you to breeze through complicated data issues without having to have experience or knowledge of any programming languages.

What business problems are you solving with the product? What benefits have you realized?

data integration from multiple sources. I use it for SEO and PPC, and often the data sources are varied and obscure, and often improperly formatted. Knime allows me to wade through that with ease.

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KNIME review by <span>ALI S.</span>
ALI S.
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KNIME PLATFORM REVIEW

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What do you like best?

In Knime, each node stores its results permanently and thus work flow execution can easily be stopped at any node and resumed later on.

What do you dislike?

Even though the knime software is very promising and really helps us with alot of things and we love it but the preliminary results are not available quickly if the real pipeling were used.

Recommendations to others considering the product

For our company, purchasing knime was a very positive decision. We love the product and the results it gives. For people who are considering purchasing it, i would highly recommend to go for it.

What business problems are you solving with the product? What benefits have you realized?

knime is a data analytics platform and it allows to perform sophisticated statistics and data mining on your data to analyze trends and predict potential results

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KNIME review by <span>Raul G.</span>
Raul G.
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Fast model prototyping

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What do you like best?

The graphical user interface is quite intuitive, allowing you to visualize your model graphically and see the flow of data/information

What do you dislike?

It may not be as flexible as other platforms such as tensorflow, but this is compensated by KNME's range of options.

What business problems are you solving with the product? What benefits have you realized?

Analysis of large sets of data with banking customer information in order to spot profiles, product usage trends and so on. The ease of visualization makes this a great platform to share insights with non-experts.

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KNIME review by <span>Shannon C.</span>
Shannon C.
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KNIME MIME

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What do you like best?

I like that it allows me to create data flows visually and very selectively run steps to throughout interactive models.

What do you dislike?

Knime doesn’t really have to much of a background knowledge on how to use it so it can be very tricky at first

Recommendations to others considering the product

Very tricky to use without looking it up

What business problems are you solving with the product? What benefits have you realized?

We are using knime with java script to run interactive models in a team setting

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