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Data Streaming at the Edge
Stream, process, connect and govern data in edge locations, and replicate data across hybrid cloud architectures to power a range of operational and analytical use cases.
Unlock Data Streaming at the Edge with Confluent
Data streaming at the edge allows applications to handle large volumes of heterogeneous data in environments with unreliable network connectivity. This unlocks a range of operational and analytical use cases, from predictive maintenance in IIoT settings to on-board (e.g., ship or train) booking systems.
Confluent empowers organizations to easily deploy and manage data streaming in edge locations, enabling them to:
Deliver real-time use cases in remote locations
Elastically scale streaming data pipelines
Create a bridge to a unified hybrid edge architecture
Build with Confluent
This use case leverages the following building blocks in Confluent:
Reference Architecture
Data is ingested to Confluent Platform via connectors, Kafka producers, or directly from event-driven applications
Data is processed on the edge device with Apache Flink® or the Kafka Streams API for Confluent Platform, before being synced (if necessary) to Confluent Cloud via cluster linking.
Confluent Health+ provides intelligent alerts and monitoring, and enables proactive support to ensure cluster health and minimize business disruptions.