Announcing Onehouse LakeBase™: database speeds finally on the lakehouse

Onehouse LakeBase™ introduces a low-latency serving layer designed to address the challenges faced by AI agents, which require rapid data retrieval for high-cardinality lookups directly from lakehouse tables like Apache Hudi™ and Apache Iceberg™. Unlike traditional lakehouse architectures optimized for analytical scans, LakeBase provides database-speed access through a Postgres-compatible endpoint, enabling seamless integration with existing tools and eliminating the need for data duplication into specialized systems. This solution addresses the increasing demands for real-time data access by AI agents, who operate in tight reasoning loops with high concurrency, often overwhelming conventional lakehouse engines and operational databases. LakeBase's architecture is built on adaptive columnar caching, transactional consistency, distributed caching, and innovative indexing techniques, allowing it to support both narrow point lookups and wide analytical queries efficiently. By transforming the lakehouse into a first-class serving layer, LakeBase aims to reduce operational complexity and enhance data access for both human BI and machine-driven AI workloads, while maintaining data governance and security within the lakehouse infrastructure.