Warehouse-grade governance and transactions on cheap object storage, with no duplication. This guide lays out the architecture, the open table formats, the medallion pattern, the economics, and a clean migration path.
Run both, copy data between them, pay for storage and compute twice, and reconcile two versions of the truth.
Layer open table formats and a catalog over object storage so one governed copy serves every engine.
ACID transactions, schema evolution, and time travel on top of plain files in object storage.
A central catalog handles schema, permissions, discovery, and lineage across engines.
Cheap, durable, infinitely scalable storage that separates storage from compute.
For most enterprises, choose Iceberg for vendor neutrality and broad engine support across Snowflake, AWS, BigQuery, and Databricks. Decide once; it is the foundation everything else sits on.
Object storage plus the table format plus a governance catalog is the lakehouse core.
Bronze preserves raw, append-only source data as the system of record and replay point.
Move analytics onto the lakehouse use case by use case, stop copying data into a separate warehouse, then retire the redundant warehouse-plus-lake copies.
Drop your details and we'll send The Lakehouse Ends the Warehouse-vs-Lake Trade-Off straight to your inbox - no spam, unsubscribe anytime.
Talk through how this applies to your roadmap with our engineering leads - a working session, not a sales pitch.
Download White Paper