Singer
Open SourceFundedOpen source, composable ETL for seamless data extraction and loading.
About Singer
Singer is an open-source ETL framework designed to facilitate data extraction and consolidation across diverse organizational tools. It standardizes communication between data extraction scripts called "taps" and data loading scripts called "targets," enabling flexible combinations to move data from any source to any destination. This approach supports data transfer between databases, web APIs, files, queues, and more, making it highly adaptable for complex enterprise environments.
Targeted at enterprises seeking a customizable and efficient data integration solution, Singer emphasizes simplicity and composability without the need for daemons or complex plugins. Its JSON-based communication and support for JSON Schema allow for rich data typing and structured data handling. Additionally, Singer supports incremental extraction by maintaining state between runs, optimizing performance for ongoing data synchronization tasks. The framework is supported by an active community and sponsored by Stitch, which offers managed services for scheduling and monitoring Singer taps.
Key Capabilities
- ✓Composable ETL with reusable taps and targets
- ✓JSON-based data communication and schema support
- ✓Incremental data extraction with state management
- ✓Wide range of pre-built integrations for data sources
- ✓Open-source framework with active community support
Integrations
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