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Ahmed Elbahtemy edited this page Apr 12, 2019
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Brooklin is a distributed system intended 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 new extensions (Connectors) to support consuming/producing data from/to new systems.
Some of its common use cases are:
- Streaming database change events in Change Data Capture scenarios
- Mirroring Kafka clusters
- 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
- Home
- Brooklin Architecture
- Production Use Cases
- Developer Guide
- Documentation
- REST Endpoints
- Connectors
- Transport Providers
- Brooklin Configuration
- Test Driving Brooklin