Database Streams
Database Streams is a concept and technology that enables real-time data processing by capturing and propagating changes (inserts, updates, deletes) from a database as a continuous stream of events. It allows applications to react to data changes immediately, supporting use cases like data replication, event-driven architectures, and real-time analytics. This is often implemented through features like change data capture (CDC) in databases such as Oracle, PostgreSQL, or via streaming platforms like Apache Kafka.
Developers should learn Database Streams when building systems that require low-latency data synchronization, such as microservices architectures where services need to stay updated with database changes without polling. It's essential for real-time applications like financial trading platforms, IoT data processing, or live dashboards that rely on up-to-the-second data. Using Database Streams improves scalability and responsiveness by decoupling data producers from consumers.