"SQL queries on a traditional database (e.g. Postgres) are bounded queries, operating over the finite set of data within the database. The bounded data includes whatever was present at the point in time of the query's execution. Any modifications to the data set occurring after the query execution are not included in the final results. Instead, you would need to issue another query to include that new data."
"In contrast, a streaming SQL query operates on an unbounded data set-most commonly one or more event streams. In this model, the streaming SQL engine consumes events from the stream(s) one at a time, ordering them according to timestamps and offsets. The streaming SQL query also runs indefinitely, processing events as they arrive at the inputs, updating state stores, computing results, and even outputting events to downstream streams."
Traditional SQL queries on databases are bounded and operate over a finite dataset captured at query time. Streaming SQL operates on unbounded event streams, consuming events incrementally, ordering by timestamps and offsets, and running indefinitely. Streaming SQL continuously updates state stores, computes results, and can emit events to downstream systems. Built-in functions, user-defined functions, materialized results, and integrations with machine learning and AI models enable complex, stateful, real-time processing and inference. Layered streaming frameworks provide low-level primitives, APIs for streams and tables, and top-level streaming SQL interfaces for simplified development.
Read at InfoWorld
Unable to calculate read time
Collection
[
|
...
]