Which service in OCI is designed for real-time data ingestion?

The OCI Streaming service is specifically designed for real-time data ingestion, making it the correct choice for this question. This service allows you to ingest, process, and analyze streaming data in real time, providing an essential tool for applications that require immediate insights or actions based on live data flows. It is fully managed and integrates well with other Oracle Cloud services, enabling you to create scalable and robust data processing pipelines.

Being capable of handling large volumes of data in real time means that applications can respond to events as they happen, making the OCI Streaming service ideal for use cases like log analysis, fraud detection, and real-time analytics.

In contrast, while OCI Object Storage is excellent for storing large amounts of data, it is not tailored for real-time data ingestion. OCI Data Flow is a managed Apache Spark service primarily focused on batch processing and complex data transformations. OCI Data Science, on the other hand, is designed for building and deploying machine learning models rather than for live data ingestion. Thus, the emphasis on real-time capabilities distinctly positions the OCI Streaming service as the perfect fit for this scenario.