SIMBA
SIMBA: Open-Source ETL Tool
An open-source ETL tool for loading data into BigQuery with a simple interface for defining extraction, transformation, and loading operations.
What is SIMBA?
SIMBA is an open-source ETL (extract, transform, load) tool specifically designed for populating Google BigQuery tables. It allows users to define data extraction and transformation pipelines in Python and then orchestrates running these pipelines to efficiently load processed data into BigQuery.
Some key features of SIMBA include:
- Configuration-based approach for defining ETL pipelines in Python
- Support for parallel data extraction and transformation for performance
- Automated schema management in BigQuery
- Integration with Cloud Storage for staging extracted data
- Comprehensive logging and monitoring
- Intuitive abstractions for multiprocessing and batching loads into BigQuery
SIMBA makes it easy for developers and data engineers to build reusable ETL workflows for moving both batch and streaming data into BigQuery. Its simple yet flexible architecture facilitates custom data processing and transformation logic while handling complex operations like large-scale parallel data loads behind the scenes.
SIMBA Features
Features
- Extract data from various sources like databases, APIs, files
- Transform and cleanse data using Python code
- Load data into BigQuery tables
- Schedule and orchestrate data pipelines
- Monitoring and logging of ETL jobs
- Integration with Airflow workflow scheduler
Pricing
- Open Source
Pros
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