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https://github.com/gazette/core

Build platforms that flexibly mix SQL, batch, and stream processing paradigms
https://github.com/gazette/core

brokers event-sourcing golang stream-processing streaming-platforms

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Build platforms that flexibly mix SQL, batch, and stream processing paradigms

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README

        

.. image:: docs/_static/logo_with_text.svg
:alt: Gazette Logo

.. image:: https://github.com/gazette/core/workflows/Gazette%20Continuous%20Integration/badge.svg
:target: https://github.com/gazette/core/actions?query=workflow%3A%22Gazette+Continuous+Integration%22
:alt: Gazette Continuous Integration
.. image:: https://godoc.org/go.gazette.dev/core?status.svg
:target: https://godoc.org/go.gazette.dev/core
:alt: GoDoc
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:alt: Slack
.. image:: https://goreportcard.com/badge/github.com/gazette/core
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:alt: Go Report Card

Overview
=========

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.

Where to Start
===============

- Official documentation_, with tutorials and examples.
- API Godocs_.

.. _documentation: https://gazette.dev
.. _Godocs: https://godoc.org/go.gazette.dev/core