Unlocking Real-Time Insights: Apache Doris in Stream and Lakehouse Integration
Mingyu Chen
Kevin Shen

Apache Doris is redefining real-time analytics in the lakehouse era. In this session, discover how Apache Doris powers high-performance analytical workloads across both its native storage and popular open lake formats like Apache Iceberg, Apache Hudi, and Delta Lake.

You’ll learn the technical architecture behind Doris’s lakehouse integration and see a live demonstration combining Ursa Engine, AWS S3 Tables, and Apache Doris to build a real-time lakehouse system. This powerful combination enables users to ingest, query, and analyze streaming data instantly — delivering actionable insights without delay.

Whether you’re a data architect, engineer, or analytics practitioner, this talk will show you how to:

  • Build real-time data exploration pipelines with Apache Doris
  • Integrate streaming and lakehouse systems for unified analytics
  • Leverage open formats for flexible, cost-efficient data processing

Discover how Apache Doris bridges the gap between streaming and lakehouse architectures, empowering real-time intelligence at scale.

Mingyu Chen
Tech VP@ VeloDB Inc, VeloDB

Apache Doris PMC Chair and Tech VP at VeloDB Inc. 10 years of experience in distributed system, focusing on distributed scalable analytical databases.

Kevin Shen
Senior Product Manager, VeloDB

Kevin Shen serves as the Senior Product Manager at VeloDB.

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