BigLake is a storage engine that empowers customers to build high-performance, governed and managed lakehouses in an open and interoperable manner. It provides:
BigLake tables for Apache Iceberg in BigQuery 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 Table Management | Storage optimization CMETA generation and refresh | US$0.12 / 1 hour |
*The list prices depend on the region.
BigLake metastore
BigLake metastore is a unified, managed, serverless, and scalable metastore that connects lakehouse data stored in Google Cloud to multiple runtimes, including open source engines like Apache Spark and native engines like BigQuery. Configuration is done via the Iceberg REST catalog or a custom Iceberg catalog for BigQuery.
Your usage for metadata storage and metadata access will be charged accordingly:
Pricing Heading | Billing for | List Price* |
|---|---|---|
BigLake 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 US$6.00 / 1,000,000 count, per 1 month / account |
BigLake 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 US$0.90 / 1,000,000 count, per 1 month / account |
* The list prices depend on the region.
