Apache Gobblin
Apache Gobblin is a versatile distributed data integration framework designed to streamline data ingestion, replication, organization, and lifecycle management across both streaming and batch environments. It operates seamlessly in standalone, embedded, or clustered modes, ensuring high availability on both bare metal and public cloud infrastructures, while supporting multiple Hadoop versions and job scheduling with Azkaban.
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Top Apache Gobblin Features
- Distributed data integration framework
- Simplifies data ingestion processes
- Supports batch and streaming data
- High availability with redundancy
- Standalone and embedded modes
- Multi-version Hadoop compatibility
- MapReduce job launching support
- Elastic cluster capability on cloud
- Primary and worker node architecture
- Lifecycle management for data
- Data replication functionalities
- Job configuration flexibility
- Scheduler integration with Azkaban
- Bare metal deployment options
- Efficient data organization tools
- Scalable architecture for large data
- User-friendly job execution interface
- Support for diverse data sources
- Real-time data processing capabilities
- Robust error handling mechanisms
