构建灵活混合 SQL、批量和流处理模型的平台
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Gazette makes it easy to build platforms that flexibly mix SQL, batch, and millisecond-latency streaming processing paradigms. It enables teams, applications, and analysts to work from a common catalog of data in the way that's most convenient to them. Gazette's core abstraction is a "journal" -- a streaming append log that's represented using regular files in a BLOB store (i.e., S3).
The magic of this representation is that journals are simultaneously a low-latency data stream and a collection of immutable, organized files in cloud storage (aka, a data lake) -- a collection which can be directly integrated into familiar processing tools and SQL engines.
Atop the journal broker service, Gazette offers a powerful consumers framework for building streaming applications in Go. Gazette has served production use cases for nearly five years, with deployments scaled to millions of streamed records per second.
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