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-URL: https://cloud.google.com/biglake
-Date Scraped: 2025-02-23T12:03:43.087Z
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-Google is named a leader in The Forrester Wave™: Data Lakehouses Q2 2024 report.Jump to BigLakeBigLake is a storage engine that provides a unified interface for analytics and AI engines to query multiformat, multicloud, and multimodal data in a secure, governed, and performant manner. Build a single-copy AI lakehouse designed to reduce management of and need for custom data infrastructure.Deploy in consoleContact salesContinuous innovation including new research BigQuery's Evolution toward a Multi-Cloud Lakehouse to be presented at the 2024 SIGMOD event.Deploy a Google-recommended solution that unifies data lakes and data warehouses for storing, processing, and analyzing both structured and unstructured dataStore a single copy of structured and unstructured data and query using analytics and AIFine-grained access control and multicloud governance over distributed dataFully managed experience with automatic data management for your open-format lakehouseVIDEOSee how BigLake unifies data lakes, warehouses, across clouds and data formats 2:00BenefitsFreedom of choiceUnlock analytics on distributed data regardless where and how it’s stored, while choosing the best analytics tools, open source or cloud native over a single copy of data. Secure and performant data lakesFine-grained access control across open source engines like Apache Spark, Presto and Trino, and open formats such as Parquet. Performant queries over data lakes powered by BigQuery.Unified governance & management at scaleIntegrates with Dataplex to provide management at scale, including logical data organization, centralized policy & metadata management, quality and lifecycle management for consistency across distributed data. Key featuresKey featuresFine grained security controlsBigLake 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 analyticsMaintain a single copy of structured and unstructured data and make it uniformly accessible across Google Cloud and open source engines, including BigQuery, Vertex AI, Dataflow, 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.Multicloud governanceDiscover 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.Built for artificial intelligence (AI)Object tables enable use of multimodal data for governed AI workloads. Easily build AI use cases using BigQuery SQL and its Vertex AI integrations. Built on open formatsSupports open table and file formats including Parquet, Avro, ORC, CSV, JSON. The API serves multiple compute engines through Apache Arrow. Table format natively supports Apache Iceberg, Delta, and Hudi via manifest.As a rapidly growing e-commerce company, we have seen rapid growth in data. BigLake allows us to unlock the value of data lakes by enabling access control on our views while providing a unified interface to our users and keeping data storage costs low. This in turn allows quicker analysis on our datasets by our users.What's newWhat’s newBlog postUnify data lakes and warehouses with BigLake, now generally availableLearn moreVideoUnifying distributed data across lakes, warehouses, clouds & open formatsWatch videoBlog postUnifying data lakes and data warehouses across clouds with BigLakeRead the blogBlog postUnify your data for limitless innovation Read the blogDocumentationDocumentationGoogle Cloud BasicsIntroduction to BigLakeIntroduce BigLake concepts and learn what it can do for you to simplify your analytics experience.Learn moreQuickstartGetting started with BigLakeLearn how to create and manage BigLake tables, query a BigLake table through BigQuery or other open source engines using connectors.Learn moreQuickstartQuery Cloud Storage data in BigLake tablesLearn how to query data stored in a Cloud Storage BigLake table.Learn moreNot seeing what you’re looking for?View all product documentationPricingPricingBigLake pricing is based on querying BigLake tables, including:1. BigQuery pricing applies for queries over BigLake tables defined on Google Cloud Storage. 2. BigQuery Omni pricing applies for queries over BigLake tables defined on Amazon S3 & Azure data lake Gen 2.3. Queries from open-source engines using BigLake connectors: BigLake connectors use BigQuery Storage API, and corresponding prices apply - billed on bytes read, and Egress.4. Additional costs apply for query acceleration using metadata caching, object tables, and BigLake Metastore.Ex: * The first 1 TB of data processed with BigQuery each month is free.View pricing detailsTake the next stepStart your next project, explore interactive tutorials, and manage your account.Go to consoleNeed help getting started?Contact salesWork with a trusted partnerFind a partnerGet tips & best practicesSee tutorialsGoogle Accountjamzith nmajamzithnma0@gmail.com