Google BigQuery Omni expands multi-cloud capabilities, queries Azure and AWS in-place
Google Cloud has upgraded BigQuery Omni to directly query data stored in Azure Blob Storage and AWS S3 without requiring data migration.
Core Capability
BigQuery Omni uses the same BigQuery API and SQL engine as Google Cloud, but compute nodes run on Azure and AWS infrastructure. Data never leaves the source cloud platform, meeting data residency requirements while simplifying cross-cloud analytics.
Use Cases
- Cross-cloud analytics for multi-cloud enterprises
- Data migration assessment before moving
- Multi-cloud compliance analytics
16IDC Takeaway
Multi-cloud is standard for enterprises, but cross-cloud analytics has been a pain point. BigQuery Omni's approach — bringing compute to data rather than moving data — is a pragmatic direction.
Source: Google Cloud Blog
What BigQuery Omni Solves
BigQuery Omni addresses a practical multi-cloud problem: querying data without moving it. If your data resides on AWS S3 or Azure Blob Storage alongside GCP, the traditional approach requires copying data across clouds first — incurring egress costs and latency. Omni lets you run BigQuery queries directly on your existing storage.
When to Use It
| Scenario | Recommendation | Why |
|---|---|---|
| All data on GCP | Standard BigQuery | No benefit from Omni |
| Data on GCP + AWS/Azure | Omni | Eliminates cross-cloud data transfer |
| AWS/Azure only | Use native query services | No need for GCP dependency |
Practical Note
Omni queries are 2-5x slower than standard BigQuery because they execute remotely. It's not a replacement for BigQuery — it's a cost-effective option for teams with data already distributed across clouds.
Bottom Line
BigQuery Omni is a good tool for a specific use case: multi-cloud data. If you plan your architecture to keep data in one place from the start, you likely won't need it.