Mara vs Pachyderm: What are the differences?
Developers describe Mara as "A lightweight ETL framework". A lightweight ETL framework with a focus on transparency and complexity reduction. On the other hand, Pachyderm is detailed as "MapReduce without Hadoop. Analyze massive datasets with Docker". Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
Mara and Pachyderm can be primarily classified as "Big Data" tools.
Some of the features offered by Mara are:
- Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code.
- PostgreSQL as a data processing engine.
- Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines.
On the other hand, Pachyderm provides the following key features:
- Git-like File System
- Dockerized MapReduce
- Microservice Architecture
Mara and Pachyderm are both open source tools. Pachyderm with 3.81K GitHub stars and 369 forks on GitHub appears to be more popular than Mara with 1.24K GitHub stars and 51 GitHub forks.