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Ahmed Abdul Hamid edited this page Sep 3, 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. Designed for multitenancy, Brooklin can power hundreds of simultaneous data pipelines across different systems and can be easily extended to support new sources and destinations.
Some of its common use cases are:
- Mirroring Kafka clusters
- Streaming database change events in Change Data Capture scenarios
- Moving data between cloud and/or on-prem services in real time
- Home
- Brooklin Architecture
- Production Use Cases
- Developer Guide
- Documentation
- REST Endpoints
- Connectors
- Transport Providers
- Brooklin Configuration
- Test Driving Brooklin