Make the most of real-time data
Generate real value from real-time insights
Ingest, process, and analyze real-time event streams
and take business impacting action on high-value,
Ingest, process, and analyze real-time event streams and take business impacting action on high-value, perishable insights.
Remove operational complexity
Leverage an auto-scaling and fully managed streaming
infrastructure that solves for variable data volumes,
performance tuning, and resource provisioning.
Leverage an auto-scaling and fully managed streaming infrastructure that solves for variable data volumes, performance tuning, and resource provisioning.
Real-time made real easy
Adopt simple ingestion for complex events
Ingest and analyze hundreds of millions of events per second from applications or devices virtually anywhere on the globe with Pub/Sub. Or directly stream millions of events per second into your data warehouse for SQL-based analysis with BigQuery's streaming API.
Unify stream and batch processing without lock-in
Unify streaming and batch data analysis with equal ease and build cohesive data pipelines with Dataflow. Dataflow ensures exactly-once processing, making your streaming pipelines more reliable and consistent for mission-critical applications. Data engineers can reuse code through Dataflow’s open source SDK, Apache Beam, which provides pipeline portability for hybrid or multi-cloud environments.
Keep your current tools while exploring next-generation AI
Bridge, migrate, or extend on-premises Apache Kafka- and Apache Spark-based solutions through Confluent Cloud and Dataproc. Combined with Data Fusion’s GUI, data analysts and engineers can build streaming pipelines in a few clicks. Embed Google’s advanced AI Platform solutions in your stream analytics pipeline for real-time personalization, anomaly detection, and predictive maintenance scenarios.
See how these customers are using our stream analytics solutions
AirAsia goes “data first” to serve customers, refine pricing, and grow revenue.
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