1. BigDL：
BigDL是用于Apache Spark的分布式深度学习库框架。在这里，用户可以将其深度学习应用程序编写为标准Spark程序。为了简化构建Spark和BigDL应用程序的过程，提供了一个高级Analytics Zoo，用于端到端分析+ AI管道。它是由Intel的Jason Dai创建的，并托管在GitHub上。它为深度学习提供全面支持，并在每个Spark任务中使用Intel MKL和多线程编程。
2. Caffe：
Caffe代表用于快速特征嵌入的卷积体系结构。它是一个深度学习框架，由加利福尼亚大学伯克利分校的伯克利视觉与学习中心开发。它是BSD许可下的开放源代码。它是用C++在Python接口中编写的。它是一种广泛使用的机器视觉库，可将Matlab最快的卷积网络实现移植到C和C++。它不适用于其他深度学习应用程序，例如文本，声音或时间序列数据。
BigDL和Caffe之间的区别：
| 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. |