Sponsored by: Onehouse | Open By Default, Fast By Design: One Lakehouse That Scales From BI to AI
Overview
| Experience | In Person |
|---|---|
| Type | Lightning Talk |
| Track | Data Lakehouse Architecture and Implementation |
| Industry | Media and Entertainment, Retail and CPG - Food, Financial Services |
| Technologies | Apache Spark, AI/BI, Apache Iceberg |
| Skill Level | Intermediate |
You already see the value of the lakehouse. But are you truly maximizing its potential across all workloads, from BI to AI? In this session, Onehouse unveils how our open lakehouse architecture unifies your entire stack, enabling true interoperability across formats, catalogs, and engines. From lightning-fast ingestion at scale to cost-efficient processing and multi-catalog sync, Onehouse helps you go beyond trade-offs. Discover how Apache XTable (Incubating) enables cross-table-format compatibility, how OpenEngines puts your data in front of the best engine for the job, and how OneSync keeps data consistent across Snowflake, Athena, Redshift, BigQuery, and more. Meanwhile, our purpose-built lakehouse runtime slashes ingest and ETL costs. Whether you’re delivering BI, scaling AI, or building the next big thing, you need a lakehouse that’s open and powerful. Onehouse opens everything—so your data can power anything.