Real-Time Streaming ETL with Apache Flink
Managed Apache Flink streaming pipelines: sub-second event processing, exactly-once semantics, windowed aggregations, joins across Kafka/Pulsar/Kinesis sources,
Key Features
- Sub-second event processing with Flink
- Exactly-once guarantees, windowed aggregations
- Kafka/Pulsar/Kinesis/S3 connectors
- Stateful stream processing (CEP, session windows)
- Managed deployment on K8s or serverless
Benefits
- Reduce costs with real-time streaming etl with apache flink
- Improve operational efficiency
- Scale without complexity
- Enterprise-grade reliability