Doris Summit 2026Day 1 · Operating the Real-Time Data Foundation

AutoMQ: Rethinking Kafka for Real-Time Analytics

Kaiming Wan · AutoMQ

About this session

Kafka powers many real-time analytics pipelines, but operating it at scale often involves high storage costs, slow scaling, and complex cluster management. This session introduces AutoMQ, a cloud-native streaming platform that reimplements Kafka’s storage layer on object storage while preserving compatibility with existing Kafka applications and tools. We’ll explain how AutoMQ makes Kafka more cost-effective, elastic, and easier to operate.

Speaker

Kaiming Wan

Director of Solutions · AutoMQ

Kaiming Wan is Director of Solutions at AutoMQ, with over a decade of experience in data infrastructure, data integration, and streaming systems. At Alibaba Cloud, he developed an enterprise data integration platform serving hundreds of Alibaba business lines and managing clusters with thousands of nodes. A serial entrepreneur with a strong technical background, Kaiming now helps organizations adopt AutoMQ to reduce Kafka costs, improve scalability, and simplify operations.

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