What is Google BigLake?
Built on years of investment in BigQuery, BigLake is a storage engine that allows organizations to unify data warehouses and lakes, and enable them to perform uniform fine-grained access control, and accelerate query performance across multi-cloud storage and open formats.
Key features
Fine grained security controls
BigLake eliminates the need to grant file level access to end users. Apply table, row, column level security policies on object store tables similar to existing BigQuery tables.
Multi-compute analytics
Maintain a single copy of data and make it uniformly accessible across Google Cloud and open-source engines, including BigQuery, Vertex AI, Spark, Presto, Trino, and Hive using BigLake connectors. Centrally manage security policies in one place, and have it consistently enforced across the query engines by the API interface built into the connectors.
Multi-cloud governance
Discover all BigLake tables, including those defined over Amazon S3, Azure data lake Gen 2 in Data Catalog. Configure fine grained access control and have it enforced across clouds when querying with BigQuery Omni.
Performance acceleration
Better performance over data lake tables on Google Cloud, AWS and Azure, powered by proven BigQuery infrastructure.
Built on open formats
Supports popular open data formats including Parquet, Avro, ORC, CSV, JSON. The API serves multiple compute engines through Apache Arrow.
Categories & Use Cases
Technical Details
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FAQs
What is Google BigLake?
Built on years of investment in BigQuery, BigLake is a storage engine that allows organizations to unify data warehouses and lakes, and enable them to perform uniform fine-grained access control, and accelerate query performance across multi-cloud storage and open formats.