Draft:Streaming database
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Streaming database is a database system designed to ingest, store, and process continuous high-speed streams of data in real time, enabling incremental and low-latency analytics as new information arrives rather than only answering one-off queries over static datasets.[1]
Although closely related to the academic concept of a data stream management system (DSMS) — which primarily focused on query semantics and execution models— a streaming database extends this idea by incorporating full database capabilities such as persistent storage and general-purpose query interfaces. Streaming databases are also distinct from stream processing engines such as Apache Flink or Storm, which perform computations on data-in-motion but rely on external storage, a streaming database integrates a storage layer with a stream processing engine. It can both store incoming stream data and continually compute query results, offering a unified system for real-time analytics.[2] Streaming databases typically provide a SQL or SQL-like query interface so that users can define continuous queries (often as materialized views) using familiar relational syntax.[3] Once a continuous query is registered, the system evaluates it incrementally and perpetually, emitting updated results as new data arrives, rather than only returning a snapshot as in a traditional query. [2]
References
- ^ Arasu, Arvind; Babcock, Brian; Babu, Shivnath; Cieslewicz, John; Datar, Mayur; Ito, Keith; Motwani, Rajeev; Srivastava, Utkarsh; Widom, Jennifer (2016), "STREAM: The Stanford Data Stream Management System", in Garofalakis, Minos; Gehrke, Johannes; Rastogi, Rajeev (eds.), Data Stream Management: Processing High-Speed Data Streams, Berlin, Heidelberg: Springer, pp. 317–336, doi:10.1007/978-3-540-28608-0_16, ISBN 978-3-540-28608-0, retrieved 2026-02-13
- ^ a b Wang, Yanghao (2022). "A Sneak Peek at RisingWave: a Cloud-Native Streaming Database" (PDF). ACM International Conference on Distributed and Event-Based Systems (DEBS 2022).
- ^ Miller, Ron (2020-11-30). "Materialize scores $40 million investment for SQL streaming database". TechCrunch. Retrieved 2026-02-13.
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