Wendelin Architecture Wendelin architecture is based on 5 layers: Analytics layer: Wendelin leverages a wide variety of Numpy based analytics libraries such as scikit-learn, Pandas, NLTK, OpenCV-python, etc Storage layer: Wendelin stores native python objects on NEO distributed storage and thus eliminates format conversion steps found in other NoSQL technologies. Elasticity layer: Wendelin distributes data processing scripts on a cluster thanks to ERP5 active python object technology. Scripts are stored on NEO and can be modified in real time without any system restart. Deployment layer: Wendelin deployment is automated thanks to SlapOS mesh computing operating system. Analytics libraries are optimized automatically by SlapOS based on the targert CPU. Infrastructure Layer: Wendelin can be deployed on commodity hardware, private cloud or public cloud. Key Features Python based Native code compiler for key algorithms GPU compiler for key algorithms Native storage of low level matrix data structure Best machine learning algorithms Wide scientific community thanks to Numpy Support 30+ years of FORTRAN optimizations Distributed multi-index Orthogonal index/storage topology for high throughput and fast access Wendelin architecture provides key features not found in other platforms.