Embulk

About Embulk

An open-source bulk data loader that helps transfer data between various databases, storages, file formats, and cloud services. Embulk supports parallel processing and plugin-based architecture for extensible data transfer pipelines.

Key Features

• 1Parallel bulk data loader designed for moving data between heterogeneous systems
• 2Plugin ecosystem covers 100+ sources and destinations
• 3Column-level type conversion and filtering during load
• 4Retry and error handling built into the load process
• 5Liquid template language for parameterized configuration files

How Python Data Engineers Use Embulk

Python data engineers invoke Embulk from Python subprocess calls or Airflow BashOperator tasks — generating the YAML config file programmatically from a Python template, then running `embulk run config.yml`. Embulk's parallel file loading is used for bulk data migrations from legacy systems to modern warehouses where Python-native libraries are too slow.