Overall Satisfaction with KNIME Analytics Platform
We use KNIME across the whole organization. It is used to solve a wide range of business problems, from ETL and data integration, to advanced analytics and customer segmentation.
- Connect to different data sources (uses JDBC)
- Process large quantities of data
- Integrate different machine learning frameworks and techniques
- Use and integrate with cloud and big data environments
- Does not have integration with Jupyter Notebooks
- The tools for script writing and development are not easy to use or don't have many features
- Memory usage is problematic some of the time
- It is very positive, being open source and available for many users.
I selected KNIME mainly for two reasons: it does have a very good free version and it has the community contributions that expand its capabilities.