KNIME Analytics Platform
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- Branche: Informationstechnologie & -dienste
- Unternehmensgröße: 10.000+ Mitarbeiter
- Täglich für 6-12 Monate genutzt
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Quelle der Bewertung
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Well created open source for data analysis!
Vorteile
One of the pros is of course doesn't require license fee. It is also an open source that can connect to Python and R that is capable of customization. Need to mention also the good community support.
Nachteile
It took time to understand the functionalities and familiarize the user interface.
- Branche: Informationstechnologie & -dienste
- Unternehmensgröße: 5.001–10.000 Mitarbeiter
- Täglich für Mehr als 2 Jahre genutzt
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Quelle der Bewertung
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Data Science 101 Platform for non-IT people
It was the tool I learned the Data Science in the first place. So it is really good and intuitive with its graphical interface. For example you understand train-test split very well because you literally see the split as you work on it. As I progressed and needed more functions and more custom solutions, I started using Python scripts and solved it like that. So it gave me all these abilities.
Vorteile
- Its ease of use makes it possible for non-IT, non-developer, non-CS background people to make data manipulation, preprocessing, mining, visualization and modelling.
- It has a graphical interface with nodes and connections so that you don't need to know Python/R to make predictive models or association rules/recommendation systems.
- There's a vast library of functions
- Even more functions are created by the community so non-existing customized functions are created by the community, via existing functions.
- The visual flow of data makes it easy to understand and interpret it.
- It teaches the CRISP-DM methodology in an intuitive way thanks to its graphical user interface
- It can connect to SQL and similar servers so that the data can be read directly.
- It is possible to write own Python/R script for custom needs.
Nachteile
- Custom needs are hard to carry out.
- Functions have limited abilities and parameters
- Data visualization is weak and relatively primitive
- Model development is easy but deployment is hard
- It is very slow unfortunately and I think this is KNIME's most important drawback
- Branche: Informationstechnologie & -dienste
- Unternehmensgröße: 5.001–10.000 Mitarbeiter
- Wöchentlich für Mehr als 1 Jahr genutzt
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Using KNIME for reporting
Good and would recommend to non technical professionals as well
Vorteile
KNIME allowed me to pull data from large google sheets and manipulate them in a clear and easy way. The visual representation of each node makes it really easy to use and understand even for people without a background in data analytics. The KNIME website also provides a lot of resources on using the platform
Nachteile
Very large google sheets containing a lot of data cannot always be extracted due to the size.
