Difference between BigDL and Caffe

1. BigDL :
BigDL is a distributed deep learning library framework for Apache Spark. Here, user can write his deep learning applications as standard Spark programs. In order to make it easy to build Spark and BigDL applications, a high-level Analytics Zoo is provided for end-to-end analytics + AI pipelines. It is created by Jason Dai at Intel and hosted at GitHub. It provides comprehensive support for deep learning and uses Intel MKL and multi-threaded programming in each Spark task.

2. Caffe :
Caffe is stands for Convolutional Architecture for Fast Feature Embedding. It is a deep learning framework and was developed by Berkeley Vision and Learning Center at the University of California, Berkeley. It is open-source, under a BSD license. It is written in C++ within a Python interface. It is a widely used machine-vision library that ported Matlab’s implementation of fastest convolutional nets to C and C++. It is not intended for other deep-learning applications such as text, sound or time series data.

Difference between BigDL and Caffe :

S.No.	BigDL	Caffe
1.	It was created by Jason Dai.	It was created by Berkeley Vision and Learning Center.
2.	It was launched in 2016.	It was launched in 2013.
3.	It is written in Scala language.	It is written in C++ language.
4.	Server operating systems for BigDL is Apache Spark.	Server operating systems for Caffe are Linux, macOS and Windows.
5.	Its software license is Apache 2.0 .	Its software license is BSD.
6.	It does not support Compute Unified Device Architecture.	It supports Compute Unified Device Architecture.
7.	It is compatible with Scala and Python interface.	It is compatible with MATLAB, C++ and Python interface.