Dataflow
Unified stream and batch data processing that's serverless, fast, and cost-effective.
New customers get $300 in free credits to spend on Dataflow.
Real-time insights and activation with data streaming and machine learning
Fully managed data processing service
Automated provisioning and management of processing resources
Horizontal and vertical autoscaling of worker resources to maximize resource utilization
OSS community-driven innovation with Apache Beam SDK
Benefits
Streaming data analytics with speed
Dataflow enables fast, simplified streaming data pipeline development with lower data latency.
Simplify operations and management
Allow teams to focus on programming instead of managing server clusters as Dataflow’s serverless approach removes operational overhead from data engineering workloads.
Reduce total cost of ownership
Resource autoscaling paired with cost-optimized batch processing capabilities means Dataflow offers virtually limitless capacity to manage your seasonal and spiky workloads without overspending.
Key features
Key features
Ready-to-use real-time AI
Enabled through out-of-the box ML features including NVIDIA GPU and ready-to-use patterns, Dataflow’s real-time AI capabilities allow for real-time reactions with near-human intelligence to large torrents of events.
Customers can build intelligent solutions ranging from predictive analytics and anomaly detection to real-time personalization and other advanced analytics use cases.
Train, deploy, and manage complete machine learning (ML) pipelines, including local and remote inference with batch and streaming pipelines.
Autoscaling of resources and dynamic work rebalancing
Minimize pipeline latency, maximize resource utilization, and reduce processing cost per data record with data-aware resource autoscaling. Data inputs are partitioned automatically and constantly rebalanced to even out worker resource utilization and reduce the effect of “hot keys” on pipeline performance.
Monitoring and observability
Observe the data at each step of a Dataflow pipeline. Diagnose problems and troubleshoot effectively with samples of actual data. Compare different runs of the job to identify problems easily.
Customers
Learn from customers using Dataflow
Documentation