Unified real-time analytics across Alibaba Group
Alibaba uses Fluss as a shared ingestion and serving layer for behavioral analytics across Taobao, Tmall, Ele.me, Amap, and Alibaba Pictures.
Read storyFrom real-time analytics to AI-powered applications.
Discover what teams are building with Apache Fluss.
Real-world applications, shared by the teams building them.
Alibaba uses Fluss as a shared ingestion and serving layer for behavioral analytics across Taobao, Tmall, Ele.me, Amap, and Alibaba Pictures.
Read storyiQIYI combines primary-key lookups, streaming feature backfills, and lake tiering to serve its machine-learning data pipelines.
Read storyFresha runs Fluss on Amazon EKS, uses Delta Join to denormalize commerce data, and contributes Kubernetes and multi-language client support.
Read storyrednote uses column pruning and tiered storage to reduce read amplification and isolate historical index builds from online workloads.
Read storyAlipay uses partial updates and columnar streaming to bring marketing events together and serve fresh data across its marketing platform.
Read storyJD combines Fluss and Apache Hudi to produce recommendation-ranking samples for online serving and near-real-time and offline model training.
Read storyCisco Webex’s streaming Lakehouse architecture combines Fluss, Flink, and Iceberg for event ingestion, primary-key lookups, and simpler data lifecycle management.
Read storyPlatforms that help organizations deploy and operate Apache Fluss.
Alibaba Cloud provides managed Fluss instances with visual table management, access controls, monitoring, and hot and cold data tiering.
Read storyVerverica integrates Fluss into its platform with cluster management, database and table operations, scaling, and lake tiering.
Read storyProjects bringing Fluss data into the wider data ecosystem.