Google Cloud Lakehouse (formerly BigLake) is an open, cross-cloud lakehouse platform that empowers customers to build high-performance, governed and managed lakehouses in an open and interoperable manner whiling connecting Apache Iceberg data to Google Cloud's powerful engines like BigQuery and Managed Service for Apache Spark. It provides:
BigLake (Lakehouse) tables perform automatic table storage optimization, including adaptive file sizing, automatic clustering, garbage collection, as well as BigQuery metadata (CMETA) generation and refresh to optimize query performance. Your compute usage for these background table management will be charged accordingly:
Pricing heading | Billing for | List price per DCU-hour* |
|---|---|---|
BigLake (Lakehouse) table management | Storage optimization CMETA generation and refresh | $0.12 / 1 hour |
*The list prices depend on the region.
BigLake metastore (Lakehouse runtime catalog)
BigLake metastore (Lakehouse runtime catalog) is a serverless and scalable runtime catalog that connects lakehouse data stored in Google Cloud to multiple runtimes, like Apache Spark and BigQuery. Configuration is done via the Iceberg REST catalog.
Pricing heading | Billing for | List price* |
|---|---|---|
BigLake (Lakehouse) Metadata Access (Class A Operation) | Metadata Access charges for writes, updates, list, create and config operations | 0 count to 5,001 count Free per 1 month / account 5,001 count and above $6.00 / 1,000,000 count, per 1 month / account |
BigLake (Lakehouse) Metadata Access (Class B Operation) | Metadata Access charges for reads, get and delete operations | 0 count to 50,001 count Free per 1 month / account 50,001 count and above $0.90 / 1,000,000 count, per 1 month / account |
* The list prices depend on the region.