Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
-
Updated
Dec 14, 2024 - Rust
Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
Python stream processing for Kafka
Self-contained distributed software platform for building stateful, massively real-time streaming applications in Rust.
This demo shows how to capture data changes from relational databases (Oracle and PostgreSQL) and stream them to Confluent Cloud, use ksqlDB for real-time stream processing, send enriched data to cloud data warehouses (Snowflake and Amazon Redshift).
This demo shows how to stream data to cloud databases with Confluent. It includes fully-managed connectors (Oracle CDC, RabbitMQ, MongoDB Atlas), ksqlDB/Flink SQL as stream processing engine.
Streaming data pipelines for real-time data warehousing. Includes fully managed connectors (PostgreSQL CDC, Snowflake).
Add a description, image, and links to the streaming-data-pipelines topic page so that developers can more easily learn about it.
To associate your repository with the streaming-data-pipelines topic, visit your repo's landing page and select "manage topics."