Real-Time Analytics on Live Postgres Data

Teams want to run analytics on fresh transactional data without building fragile ETL pipelines or maintaining fleets of read replicas. Lakebase addresses this by separating Postgres storage from compute. In this session, you'll see how the lakebase architecture takes this one step further, for powering low-latency operational analytics for use cases including fraud detection, real-time dashboards, all without duplicating data or slowing down production systems.