Google Cloud BigLake
Unify data warehouses and lakes.
Overview
Google Cloud BigLake is a storage engine that lets you unify data warehouses and lakes. BigLake allows you to query data in a single copy of data with uniform access control. You can use open source query engines like Spark, Trino, Presto, and Hive, and Google Cloud services like BigQuery and Vertex AI to access data in BigLake.
✨ Key Features
- Unified data access across data warehouses and lakes
- Fine-grained access control
- Multi-cloud data access (AWS, Azure)
- Support for open file formats (Parquet, ORC, etc.)
- Integration with BigQuery and other Google Cloud services
- Performance acceleration
🎯 Key Differentiators
- Multi-cloud data access and governance
- Tight integration with Google BigQuery
- Support for a wide range of open-source query engines
Unique Value: A single point of control for managing and securing data across multiple clouds and data stores, simplifying data access and governance.
🎯 Use Cases (4)
✅ Best For
- Querying data in Google Cloud Storage, Amazon S3, and Azure Data Lake Storage from BigQuery
- Enforcing consistent security policies across different query engines
- Building a multi-cloud data lakehouse
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations not using Google Cloud Platform
- Simple, single-source data analysis
🏆 Alternatives
Offers a more open and multi-cloud approach compared to solutions that are tied to a specific cloud provider's ecosystem.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Google Cloud Support Plans tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: Part of the BigQuery free tier, which includes 10 GB of storage and 1 TB of queries per month.
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