Stream analytics

Ingest, process, and analyze millions of events in real time, from anywhere in the world. Learn more about this solution.

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Cloud Dataflow

Take a hands-off approach to data operations with Cloud Dataflow. Cloud Dataflow is a fully managed service for transforming and enriching data in stream (real time) and batch (historical) modes without complex workarounds or compromises. It supports fast, simplified pipeline development via expressive Java and Python APIs in the Apache Beam SDK and seamlessly integrates with GCP services for streaming events ingestion (Cloud Pub/Sub), data warehousing (BigQuery), machine learning (Cloud Machine Learning Engine), and more.

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Cloud Pub/Sub

Cloud Pub/Sub is a simple, reliable, scalable foundation for stream analytics and event-driven computing systems. As part of Google Cloud’s stream analytics solution, the service ingests event streams and delivers them to Cloud Dataflow for processing and BigQuery for analysis as a data warehousing solution. Relying on the Cloud Pub/Sub service for delivery of event data frees you to focus on transforming your business and data systems.

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Managed Apache Kafka (Confluent Cloud service)

Apache Kafka is the open source ecosystem’s leading platform for event streaming and is increasingly a primary messaging platform for event-driven organizations. Google Cloud’s partnership with Confluent delivers a managed Apache Kafka experience that matches the ease of use of Google's data analytics products, simplifying how users replicate or extend on-premise streaming architectures that include Kafka.

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