While modern lakehouse architectures and open-table formats provide flexibility, they are often challenging to manage. Data layouts, clustering, and small files need to be managed for efficiency. Qbeast’s platform-independent patented muti-column indexing optimizes lakehouse data layout, accelerates queries, and sharply reduces compute cost — without disrupting existing architectures. Qbeast also handles high-cardinality clustering and supports incremental updates. Join us to explore how Qbeast enables efficient, scalable, AI-ready data infrastructure — reducing compute costs independent of data platform and compute engine.