SingleStore + Confluent: From Stream to Outcomes, in an Instant.

Confluent moves data the moment it is created, but most analytical destinations slow it back down through staging layers and batch processing. This brief sets out the architecture that preserves that freshness: SingleStore as a live serving layer paired with Confluent, ingesting Kafka directly into distributed tables for sub-second queries across operational, analytical, and AI workloads, with native Iceberg export to the wider estate.