Near-real-time data integration processes events from sources like Kafka, Kinesis, or CDC feeds as they occur, balancing reliable event processing with keeping pipelines healthy as schemas, volumes, and destinations change.

Nexla supports event stream processing and CDC natively, including a Confluent integration for Kafka, while an agentic layer monitors freshness and schema drift and escalates issues outside policy. Streamed data lands as governed Nexsets, so the same feed serves analytics, operational systems, and AI agents through MCP.