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7.7

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KNIME Analytics Platform - Business Intelligence Software

KNIME Analytics Platform Reviews in June 2025: User Ratings, Pros & Cons

Effortlessly create powerful data analysis workflows.

4.2

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KNIME Analytics Platform Reviews & Ratings

4.2

Very Good

Based on 116 ratings & 63 reviews

Rating Distribution

Excellent

(37)

Very Good

(23)

Good

(3)

Poor

(0)

Terible

(0)

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Showing 21-30 out of 63

DD

Dwayne D

12/17/21

4 out of 5

"Easy to use and understand"

What do you like best about KNIME Software? The drag and drop, which makes it easy to use. I also like the light system that tells you the status of each step. I also like the fact that it is very flexible and it is great to experiment without significant risk of messing up the process. What do you dislike about KNIME Software? The only thing I would say I disliked is the fact that once you have done your analysis, to share the analysis has some restrictions which you must then pay for. But ...

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NE

Nairoby E

10/11/21

4.5 out of 5

"Open Source Report and Analysis"

What do you like best about KNIME Software? Specific functions, statistics and specific calculations, automatic learning with Artificial Intelligence and integrated prediction algorithm. What do you dislike about KNIME Software? Running the system with different modules requires a lot of system resources, requires more program optimizations. Recommendations to others considering KNIME Software: Data analysis and tool for all functions in system interface. What problems is KNIME Software ...

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MF

Muhammad F

06/11/21

5 out of 5

"The powerful application for data analytic and machine learning"

What do you like best about KNIME Software? A lot of nodes ans extensions, easy to use and powerful. What do you dislike about KNIME Software? Heavy, need high spec memory to run this application. Recommendations to others considering KNIME Software: Use this application for machine learning, programming language not required such as R or Phyton What problems is KNIME Software solving and how is that benefiting you? Data analytic without programming language.

KM

Kshitij M

05/11/21

2.5 out of 5

"Outdated, but gets work done"

What do you like best about KNIME Software? Easy to use low code no code drag and drop feature What do you dislike about KNIME Software? No ready to use analytics workflow available Recommendations to others considering KNIME Software: Better options are available for data cleansing, but knime is good if you're used to using drag and drop feature What problems is KNIME Software solving and how is that benefiting you? Data cleansing and formatting. Best utilised to work multiple formats and ...

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JC

Juan Carlos P

11/23/20

5 out of 5

"The best tool for the integrated knowledge of the organization from start to finish"

What do you like best about KNIME Software? It is a tool from start to finish from file management, through statistics, machine learning, deep learning, selenium rpa, artificial intelligence, process automation, databases and ETL, integration with Python and R, advanced analysis, teamwork, parallelization, real big data; great What do you dislike about KNIME Software? nothing , is a good tool, the ability to process video in real time Recommendations to others considering KNIME ...

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AU

Anonymous User

11/06/20

5 out of 5

"Great tool for predictive analytics"

What do you like best about KNIME Software? Great tool for predictive analytics. The examples provided with the software are a great way to learn this tool by your self. What do you dislike about KNIME Software? It is really difficult to prepare and clean data. What problems is KNIME Software solving and how is that benefiting you? It is great for machine learning.

BE

Betty E

10/24/19

4.5 out of 5

"Literally, thousands of modules"

What do you like best about KNIME Software? The program offers workflow checks, statistical and mathematical functions, algorithms for machine learning and sophisticated prediction algorithms. KNIME is extremely helpful in evaluating big quantities of information with sophisticated algorithms and codes without programming, since it utilizes block modules to accomplish graphical jobs. It is able to put the data processing to which you want to link your data in a certain order with ...

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AU

Anonymous User

10/14/19

5 out of 5

"Great software to learn machine learning"

What do you like best about KNIME Software? Knime è un ottimo software per creare e testare modelli di machine learning utilizzando blocchi che contengono implementazioni di algoritmi utilizzati per i più disparati problemi come classificazione, regressione e clustering. What do you dislike about KNIME Software? There is nothing negative about this software. I found it very good to use it. What problems is KNIME Software solving and how is that benefiting you? I used knime to solve machine ...

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MS

Marina S

09/30/19

4.5 out of 5

"produce multivariated evaluations"

What do you like best about KNIME Software? KNIME's UI requires no programming skills, as you can just use the “drag and drop” without losing the flexibility in programming languages, since Python and R have nodes too. It also provides sturdy add-ons to promote integrations for data mining and time series analysis techniques. KNIME offers a wide variety of dynamic processes and supports several web reports. Also, the application for the desktop is open and free of charge. What do you ...

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DM

Daniela M

09/12/19

4.5 out of 5

"Data analysis right away"

What do you like best about KNIME Software? KNIME desktop is a powerful tool to create analytical workflows and is extremely helpful for the visual interface. It comes with multiple extensions which simplify text processing, which is a very hard to do on other similar platforms. To use this information in the IT department for manual processes, you do not need to be a data specialist. Also, in order to expand the features, you can purchase the KNIME server in the support community on ...

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Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].