Back to Catalog
Cloud
gcp
Dataflow
Serverless stream and batch data processing
Intent & Description
Dataflow is a fully managed serverless service for stream and batch data processing. It uses Apache Beam for unified programming, providing exactly-once processing semantics, automatic scaling, and integration with GCP data services. Ideal for ETL pipelines, real-time analytics, and data transformation.
Real-world Use Case
Use when building data pipelines, processing streaming data, or implementing ETL workflows with automatic scaling.
Source
Advantages
- Serverless processing
- Unified batch and streaming
- Exactly-once semantics
- Auto-scaling capabilities
Disadvantages
- Requires Apache Beam knowledge
- Cost for compute resources
- Debugging complexity
- Vendor lock-in considerations