KNIME Analytics Platform
von KNIME.COM4.5 / 5 9 Bewertungen
Durchschnittliche Bewertung9 Bewertungen
- Gesamt 4.5 / 5
- Benutzerfreundlichkeit 4.5 / 5
- Kundenservice 5 / 5
- Funktionen 5 / 5
- Preis-Leistungs-Verhältnis 5 / 5
Installiert - Mac
Installiert - Windows
Angaben zum Hersteller
Über KNIME Analytics Platform
Mathematische und statistische Funktionen, Workflow-Steuerung, erweiterte Prognose, maschinelle Lernalgorithmen und weitere Funktionen für Datenwissenschaftler.
KNIME Analytics Platform Funktionen
- AI / Maschinelles Lernen
- Data Mining
- Für die Bildung
- Modellierung & Simulation
- für das Gesundheitswesen
Die hilfreichsten Reviews für KNIME Analytics Platform
Bewertet am 1.7.2019
KNIME is very easy to learn and use for anybody
Kommentare: KNIME is a very good Data Analytics software overall. If the team can handle the slowness issue, it's great for both computer science associates and other employees.
There are multiple features that is great about KNIME.
- Since it's a visual UI that you work on, it's possible to track down what's going on, similar to an ETL tool. That's something that does not exist on programming.
- Community continuously develops Nodes so its like an organism that grows.
Its upsides come with downsides:
- Since it's high level (so to speak in CS manner) software. It is far from computer language, and that makes it very slow. It gets even slower more nodes and extensions are installed which was again, an upside.
- Nodes have customization and parameter management but they are not as customizable as Python/R libraries, though for that Python/R node can be used.
Bewertet am 2.3.2018
KNIME is a powerhouse for all types of analysis, including machine learning.
Kommentare: We were able to build a reproducible workflow for analyzing our data and creating actionable insights.
Vorteile: KNIME desktop is a powerful tool for building analytical workflows. The visual interface is extremely helpful. They also have extensions to integrate other tools like R and Python into the workflows. Best of all you can share your workflows with others - great for reproducible research. There are built in tools for many types of supervised and unsupervised machine learning. The desktop application is free and open source. The support community on the KNIME website is very active and responsive. To extend the features you can purchase KNIME server.
Nachteile: Like any new tool there is a learning curve. However, they have lots of videos, examples and an active support community. There are some features that are not intuitive, such as how to use flow variables. In general I have found that I use R much less now and do most of my analysis in KNIME. KNIME is primary drag and drop and requires little to no coding.
Bewertet am 4.8.2019
A Suitable software for Engineering Undergraduates
Kommentare: This is a good software which helps to solve statistical ptoblems,mathematical problems and also algorithm problems.so in Engineering there have lots of problems belongs to aforesaid kind of problems.so this can be useful for pre- Engineers.
Vorteile: This software gives most accurate answers and it has more sensitivity & most of values have precision.
Nachteile: sometimes error messages displaying while works are in progress
Bewertet am 3.3.2019
Knime to process data
Kommentare: Knime has turned manual tasks in easy and fast ones just pressing a button to run multiple commands on a excel file for example. Very useful tool to automate and reduce task time.
Vorteile: Knime is very useful to analyze large data quantities with advanced algorithms and code without the need to program because you use block modules that do a specific task and you put program graphically the data processing you want to do connecting this blocks to other in a specific order. You don't need to be a data scientist or engineer to use it is useful in HR and Finance sector to automate manual processes. You can directly input an excel file or database. The software is free but you may purchase a server license to have a process run automatically with large amounts of data from many sources. You can also program if needed and add external blocks to the software.
Nachteile: You actually need more help than provided by block description if you want to do complex data analysys tasks, if you want advanced data analysis and classification you do need to have software engineering knowledge, you can only run a workflow if you have it in the knime folder not any other location of your computer. Knime can take time to initialize if you have many modules installed so install only the ones you need if not it may take 5 minutes or more to open in a regular computer.
Bewertet am 15.2.2019
Data pipeline automation
Vorteile: Good graphical module and highly automated
Nachteile: Individual module is not very customizable