Google Dataflow
Google Dataflow is a fully managed, serverless service on Google Cloud Platform (GCP) that executes data processing pipelines, leveraging the Apache Beam programming model. It provides a unified platform for both batch and stream data processing, enabling developers to write a single pipeline…
Key facts
- First appeared
- 2014
- Category
- technology
- Problem solved
- Google Dataflow was created to eliminate the traditional dichotomy between batch and stream processing, allowing developers to build a single data pipeline capable of handling both bounded (batch) and unbounded (streaming) datasets with consistent logic and correctness. It abstracts away the operational complexities of distributed processing, automatic scaling, and infrastructure management.
- Platforms
- Google Cloud Platform
Related technologies
Notable users
- Global 2000 companies leveraging Google Cloud for analytics and data engineering
- IoT data processing
- Ad-tech companies
- Spotify (uses Apache Beam)
- Google (internal data pipelines)
- E-commerce platforms
- Twitter (uses Apache Beam, which Dataflow executes)
- Financial services