Materialize: Streaming SQL on Timely Data with Arjun Narayan and Frank McSherry Distributed stream processing frameworks are used to rapidly ingest and aggregate large volumes of incoming data. These frameworks often require the application developer to write imperative logic describing how that data should be processed. For example, a high volume of clickstream data that is getting buffered to Ka
