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data-streaming
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Apache Kafka® running on Kubernetes
Memphis.dev is a highly scalable and effortless data streaming platform
Apache InLong - a one-stop, full-scenario integration framework for massive data
An extensible distributed system for reliable nearline data streaming at scale
Low-code tool for automating actions on real time data | Stream processing for the users.
Http Connector for Apache Flink. Provides sources and sinks for Datastream , Table and SQL APIs.
DagsHub client libraries
Adapter for dbt that executes dbt pipelines on Apache Flink
A Python library for machine-learning and feedback loops on streaming data
Sample Applications for Pravega.
Sample code that shows the important aspects of developing custom connectors for Kafka Connect. It provides the resources for building, deploying, and running the code on-premises using Docker, as well as running the code in the cloud.
Apache Flink (Pyflink) and Related Projects
High-performance and efficient Framework and Agent for creating data pipelines. The core of pipeline descriptions is based on the Configuration As Code concept and the Pkl configuration language by Apple.
Apache Kafka and Related Projects
Docker Compose environments for demonstrating modern data platform architectures using Kafka, Flink, Spark, Iceberg, Pinot + Kpow & Flex by Factor House
Udacity Data Streaming Nanodegree Program
A library for data streaming and augmentation
Kafka Connector for Apache Doris
Developer-friendly MCP server bridging Kafka and Pulsar protocols—built with ❤️ by StreamNative for an agentic, streaming-first future.