Lakehouse, Finally at Database Speeds: Introducing Onehouse LakeBase™ for the AI Era

AI agents are pushing lakehouse query patterns to a new extreme: 10× higher QPS and concurrency than human-driven analytics, where traditional engines and architectures start to break down. In this launch webinar, we’re introducing LakeBase, the lakehouse serving layer built to deliver database-like responsiveness without copying data into a warehouse or running parallel systems.

You’ll see how LakeBase serves high-QPS, low-latency SQL directly from Apache Iceberg and Apache Hudi tables through a highly available, autoscaling, Postgres™-compatible endpoint, using automatic indexing and multi-tier caching for everything from high-cardinality filters to millisecond point-lookups. We’ll also cover the core innovations like columnar + transactional caching, hot-data caching for repeated patterns, and vertical/horizontal autoscaling and walk through how to get started: connect tables, enable an endpoint, and query safely from agents.

Who it’s for: data platform teams, analytics engineering, and AI/agent builders who want fast interactive exploration and production-safe agent querying while keeping data in the lakehouse.