It's a streaming-based data platform which means "data stream" is a fundamental first-class citizen similar to how the table is on the relational database. The key benefit is that data can be move without doing polling (or writing job scheduler) with is how done in the traditional batch-based ETL. Compared with the legacy streaming platforms, Fluvio fits better in a cloud-native environment, with less resource required in terms of memory and CPU load usages which means it is significantly cheaper. With our WASM inline programmable engine, you can perform data computation near storage, eliminate unnecessary data movement, reduce network transmission costs and delays, and eliminate security risks. We will start to publish our performance and other stats. Our SPU (Streaming Processing Unit) runs in 1/10 of memory as a Kafka broker (which requires a min of 1G memory) on a simple benchmark.