Lantern is a real-time data transformation engine that enables data engineers to build, run, and monitor streaming data pipelines with SQL. It’s designed to process events in motion, offering low-latency stream transformations, aggregations, and enrichment in a declarative way. Lantern is especially suited for modern data infrastructure and analytics platforms.

Features

  • Stream processing with SQL-based pipeline definitions
  • Low-latency transformations and joins on real-time data
  • Supports multiple streaming sources like Kafka and Kinesis
  • Schema evolution and type enforcement
  • Web-based UI for pipeline monitoring and debugging
  • Scales horizontally for large data volumes

Project Samples

Lantern Database Screenshot 1

Project Activity

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