Anaconda vs PySpark: What are the differences?
Anaconda: The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders. A free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system conda; PySpark: The Python API for Spark. It is the collaboration of Apache Spark and Python. it is a Python API for Spark that lets you harness the simplicity of Python and the power of Apache Spark in order to tame Big Data.
Anaconda and PySpark can be primarily classified as "Data Science" tools.
According to the StackShare community, Anaconda has a broader approval, being mentioned in 6 company stacks & 33 developers stacks; compared to PySpark, which is listed in 8 company stacks and 6 developer stacks.