How It Works
Stream ingestion
Bringing data in continuously, event by event, as it happens — clicks, payments, sensor readings. It powers live dashboards and fraud alerts, at the cost of more complex, always-on infrastructure.
Origin · no single documented coiner
Popularized in the 2010s by open-source tools such as Apache Kafka (created at LinkedIn, open-sourced in 2011) and later stream processors like Apache Flink. The idea of processing data streams is older and has no single coiner.
No single primary source link for this term.