Goldsky Mirror’s primary function is to simplify the ingestion of blockchain data into your data warehouse for querying and analytics, providing the data as-is. Extensions enhance Mirror’s capabilities beyond this core use case, enabling new destinations for your data and the ability to transform it.

Types of Extensions:

  • Channels: Intermediate storage layers that facilitate further integration into your data stack. They handle high-throughput data streams and enable flexible data processing.
  • Transforms: Tools for filtering and aggregating data in-stream, allowing you to shape the data to meet your specific needs.

By leveraging Extensions, you can customize and extend your Mirror pipelines to better fit your unique data workflows and integration requirements.

For more details on Extensions, visit our Channels documentation and Transforms documentation.