+1 It looks great!
Just two comments: - I think this discussion should be moved to the dev@ mailing list, as I don't see anything here that needs to remain private. - On a personal note, I plan to be more active in Fluss and am happy to work with you all on these topics. Regards, JB On Mon, Jan 12, 2026 at 2:26 PM Giannis Polyzos <[email protected]> wrote: > Hi everyone, > > Over the last year, Fluss has grown a lot, and I think it's a good time to > update our core message on the website to reflect that. > > I would like to propose the following. > > Promote Fluss as: Streaming Storage For Real-Time Data & AI > another alternative Streaming Storage For Real-Time Data & Intelligent > Systems > > and update our 6 core capabilities: > > *1. Sub-Second Data Freshness: *Continuous ingestion and immediate > availability of data enable low-latency analytics and real-time > decision-making at scale. > *2.* *Streaming & Lakehouse Unification:* Streaming-native storage with > low-latency access on top of the lakehouse, using tables as a single > abstraction to unify real-time and historical data across engines. > *3. Columnar Streaming:* Based on *Apache Arrow *it allows database > primitives on data streams and techniques like column pruning and predicate > pushdown. This ensures engines read only the data they need, minimizing I/O > and network costs. > *4. Compute–Storage Separation:* Stream processors focus on pure > computation while Fluss manages state and storage, with features like > deduplication, partial updates, delta joins, and aggregation merge engines. > *5. ML & AI–Ready Storage:* A unified storage layer supporting row-based, > columnar, vector, and multi-modal data, enabling real-time feature stores > and a centralized data repository for ML and AI systems. > *6. Changelogs & Decision Tracking:* Built-in changelog generation > provides an append-only history of state and decision evolution, enabling > auditing, reproducibility, and deep system observability. > > Any suggestions and thoughts to revisit or frame the above are highly > welcomed. > > Best, > Giannis >
