AWS Glue vs Pachyderm: What are the differences?
What is AWS Glue? Fully managed extract, transform, and load (ETL) service. A fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
What is Pachyderm? MapReduce without Hadoop. Analyze massive datasets with Docker. Pachyderm is an open source MapReduce engine that uses Docker containers for distributed computations.
AWS Glue and Pachyderm can be primarily classified as "Big Data" tools.
Some of the features offered by AWS Glue are:
- Easy - AWS Glue automates much of the effort in building, maintaining, and running ETL jobs. AWS Glue crawls your data sources, identifies data formats, and suggests schemas and transformations. AWS Glue automatically generates the code to execute your data transformations and loading processes.
- Integrated - AWS Glue is integrated across a wide range of AWS services.
- Serverless - AWS Glue is serverless. There is no infrastructure to provision or manage. AWS Glue handles provisioning, configuration, and scaling of the resources required to run your ETL jobs on a fully managed, scale-out Apache Spark environment. You pay only for the resources used while your jobs are running.
On the other hand, Pachyderm provides the following key features:
- Git-like File System
- Dockerized MapReduce
- Microservice Architecture
Pachyderm is an open source tool with 3.81K GitHub stars and 369 GitHub forks. Here's a link to Pachyderm's open source repository on GitHub.