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| title: Introduction |
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| # What is Fluss? |
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| Fluss is a streaming storage built for real-time analytics which can serve as the real-time data layer for Lakehouse architectures. |
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| It bridges the gap between **streaming data** and the data **Lakehouse** by enabling low-latency, high-throughput data ingestion and processing while seamlessly integrating with popular compute engines like **Apache Flink**, with **Apache Spark** and **StarRocks** coming soon. |
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| Fluss supports `streaming reads` and `writes` with sub-second latency and stores data in a columnar format, enhancing query performance and reducing storage costs. |
| It offers flexible table types, including append-only **Log Tables** and updatable **PrimaryKey Tables**, to accommodate diverse real-time analytics and processing needs. |
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| With built-in replication for fault tolerance, horizontal scalability, and advanced features like high-QPS lookup joins and bulk read/write operations, Fluss is ideal for powering **real-time analytics**, **AI/ML pipelines**, and **streaming data warehouses**. |
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| **Fluss (German: river, pronounced `/flus/`)** enables streaming data continuously converging, distributing and flowing into lakes, like a river 🌊 |
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| ## Use Cases |
| The following is a list of (but not limited to) use-cases that Fluss shines ✨: |
| * **📊 Optimized Real-time analytics** |
| * **🔧 Feature Stores** |
| * **📈 Real-time Dashboards** |
| * **🧍 Real-time Customer 360** |
| * **📡 Real-time IoT Pipelines** |
| * **🚓 Real-time Fraud Detection** |
| * **🚨 Real-time Alerting Systems** |
| * **💫 Real-time ETL/Data Warehouses** |
| * **🌐 Real-time Geolocation Services** |
| * **🚚 Real-time Shipment Update Tracking** |
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| ## Where to go Next? |
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| - [QuickStart](quickstart/flink.md): Get started with Fluss in minutes. |
| - [Architecture](concepts/architecture.md): Learn about Fluss's architecture. |
| - [Table Design](table-design/overview.md): Explore Fluss's table types, partitions and buckets. |
| - [Lakehouse](streaming-lakehouse/overview.md): Integrate Fluss with your Lakehouse to bring low-latency data to your Lakehouse analytics. |
| - [Development](/community/dev/ide-setup): Set up your development environment and contribute to the community. |
