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Brooklin is a distributed system for streaming data between various heterogeneous source and destination systems with high reliability and throughput at scale. It features an extensible API that enables writing extensions to support consuming/producing data from/to new systems.

Some of its common use cases are:

• Mirroring Kafka clusters
• Streaming database change events in Change Data Capture scenarios
• Moving data from between cloud and on-prem services in real time
• Making cold data from Apache Hadoop available as adjunct data for real-time stream processing