Streaming Data Pipelines

Streaming data pipelines enable continuous data ingestion, processing, and movement from its source(s) into its destination as soon as the data is generated in real time. Similarly known as streaming ETL and real-time dataflow, this technology is used across countless industries to turn databases into live feeds for streaming ingest and processing to accelerate data delivery, real-time insights, and analytics.

Created by the founders of Apache Kafka, Confluent's data streaming platform automates real-time data pipelines with 120+ pre-built integrations, security, governance, and countless use cases.