Jurisdictional exposure
Sub-services (3)
Lakehouse for Apache Iceberg tables
Managed Iceberg tables on Cloud Storage written and optimised by BigQuery
Lakehouse runtime catalog
Shared metastore exposing an Iceberg REST interface to Spark and other engines
External Iceberg tables
Read-only access to Iceberg tables managed by other engines
Compliance & Certifications
This service is attested for the following frameworks. Always verify with the provider before relying on a specific compliance posture.
Where this runs
Sovereign regions (1)
- T-Systems Sovereign Cloud · FrankfurtT-Systems Sovereign Cloud powered by Google Cloud
Commercial regions (43)
Europe (13)
- Belgium
- Finland
- Paris
- Berlin
- Frankfurt
- Milan
- Turin
- Netherlands
- Warsaw
- Madrid
- Stockholm
- Zurich
- London
North America (12)
- Montréal
- Toronto
- Querétaro
- Northern Virginia
- Columbus
- Iowa
- Dallas
- Las Vegas
- Los Angeles
- South Carolina
- Salt Lake City
- Oregon
South America (2)
- São Paulo
- Santiago
Asia (10)
- Hong Kong
- Delhi
- Mumbai
- Jakarta
- Osaka
- Tokyo
- Singapore
- Seoul
- Taiwan
- Bangkok
Oceania (2)
- Melbourne
- Sydney
Middle East (3)
- Tel Aviv
- Doha
- Dammam
Africa (1)
- Johannesburg
Tags
Equivalent services on other platforms
Apache Iceberg-native bucket type for analytical workloads with fully-managed table optimisation, automatic compaction and snapshot expiration, plus first-class integration with Athena, Redshift, EMR, and Glue — launched at re:Invent 2024
Hierarchical-namespace layer on top of Azure Blob Storage optimised for big-data analytics, providing POSIX-like directory semantics, per-directory ACLs, Hadoop-compatible ABFS driver, and first-class integration with Databricks, Synapse, HDInsight, and Fabric OneLake