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Data Cloud can ingest data in real-time using your existing Ingestion API integrations. To do so for an Ingestion API Data Lake Object (DLO), make sure that the Data Model Object (DMO) the DLO is mapped to, is a member of a real-time data graph.
After ingestion, the data is available in the real-time layer instantly so that it can power real-time identity resolution, real-time calculated insights, real-time segmentation, and real-time actions.
If you don't want to ingest data in real-time, navigate to the Real-Time Consumption Limits page in the New Data Graph window and toggle Real-Time Data Ingestion to Off. When you turn off real-time ingestion, data is synced through the standard Data Cloud pipeline.
Imagine you work for an auto manufacturer. Your objective is to create a service where you can identify when a vehicle has broken down, and proactively reach out to the customer who owns the vehicle, and send roadside assistance. Using Real-Time Ingestion API, you can ingest the vehicle telemetry data in real-time into Data Cloud. With this data, you can identify a break-down in real-time and create a support case in Service Cloud to send assistance.