Stetl, Streaming ETL, is a lightweight geospatial processing and ETL framework written in Python.
Extensible streaming ingestion pipeline on top of Apache Spark
Collecting highlights from the Quix community and social media in the form of interesting questions, comments, challenges, solutions and insights
Production-grade flight data ETL streaming pipeline using Apache Spark and Databricks. Demonstrates medallion architecture, real-time processing, and data quality frameworks.
Collecting highlights from the Quix community and social media in the form of interesting questions, comments, challenges, solutions and insights
Estuary — independent third-party profile of a public API surface, by API Evangelist. Estuary builds Estuary Flow, a real-time data movement platform for streaming ETL and change data capture (CDC). Flow captures data from databases, warehouses, and SaaS systems into durable collections and materializes those collections back out to destinations.
🌊 Cascade — real-time streaming ETL reference architecture: Kafka → Apache Flink → PostgreSQL/Redshift (Java 17, Docker).
Verifiable performance, runtime-parity and integration evidence for Flowplane’s governed transformation engine.
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