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一分鐘完成驗證Apache Fluss is a streaming storage built for real-time analytics.
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Apache Fluss is a streaming storage built for real-time analytics & AI which can serve as the real-time data layer for Lakehouse architectures.
It bridges the gap between data streaming and data Lakehouse by enabling low-latency, high-throughput data ingestion and processing while seamlessly integrating with popular compute engines like Apache Flink and
Apache Spark, with StarRocks coming soon.
Fluss (German: river, pronounced /flus/) enables streaming data continuously converging, distributing and flowing into lakes, like a river 🌊檢視完整 README ↗Apache Fluss is a streaming storage built for real-time analytics & AI which can serve as the real-time data layer for Lakehouse architectures.
It bridges the gap between data streaming and data Lakehouse by enabling low-latency, high-throughput data ingestion and processing while seamlessly integrating with popular compute engines like Apache Flink and Apache Spark, with StarRocks coming soon.
Fluss (German: river, pronounced /flus/) enables streaming data continuously converging, distributing and flowing into lakes, like a river 🌊
Prerequisites for building Apache Fluss:
git clone https://github.com/apache/fluss.git
cd fluss
./mvnw clean package -DskipTests
Apache Fluss is now installed in build-target. The build command uses Maven Wrapper (mvnw) which ensures the correct Maven version is used.
Apache Fluss is open-source, and we’d love your help to keep it growing! Join the discussions, open issues if you find a bug or request features, contribute code and documentation, or help us improve the project in any way. All contributions are welcome!
Apache Fluss project is licensed under the Apache License 2.0.