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Google BigQuery vs Microsoft Fabric Data Warehouse

Google BigQuery: Google's serverless, pay-per-query data warehouse built on Dremel and Colossus. Microsoft Fabric Data Warehouse: T-SQL warehouse in Microsoft Fabric that stores every table as Delta Parquet in OneLake.

key differences

  • Google BigQuery is built for larger datasets (Multi-PB) than Microsoft Fabric Data Warehouse (≤ 1 PB).
  • Only Google BigQuery has full-text search, vector search, geospatial, change data capture, materialized views.

choose google-bigquery for

  • +Cloud data warehouse on GCP
  • +Marketing and product analytics (GA4 export)
  • +Log and event analytics
  • +Ad-hoc exploration of very large datasets

best at · Warehouse, OLAP, Lakehouse

choose microsoft-fabric-warehouse for

  • +Microsoft-centric enterprise data warehouse
  • +Power BI backends with Direct Lake
  • +Migrating Synapse dedicated SQL pools
  • +Medallion lakehouse with a SQL serving layer

best at · Warehouse, OLAP, Lakehouse

Google BigQueryGoogle's serverless, pay-per-query data warehouse built on Dremel and Colossus.
Microsoft Fabric Data WarehouseT-SQL warehouse in Microsoft Fabric that stores every table as Delta Parquet in OneLake.
overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document, Vector, Spatial
Relational
Type
Managed service
Managed service
Status
Active
Active
Developer
Google
Microsoft
First release
2010
2023
Latest version
–
–
License
ProprietaryProprietary
ProprietaryProprietary
Free tier
✓
—
popularity
WhichDB Score
65.3
6.7
Rank
#12
#356
GitHub stars
–
–
Stack Overflow questions
26.1K
258
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Flexible
Strict
Architecture
Serverless, Distributed, Shared storage
Serverless, Distributed, Shared storage
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
Google Cloud
Azure
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
—
—
Full-text search
✓
—
Vector search
✓
—
Geospatial
✓
—
JSON
✓
✓
Change data capture
✓
—
Triggers
—
—
Stored procedures
✓
✓
Materialized views
✓
—
TTL / expiry
✓
—
Pub/Sub
—
—
Columnar storage
✓
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
✓
✓
Branching
—
—
Online schema changes
✓
✓
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
GoogleSQL, Legacy SQL, Python (BigQuery DataFrames)
T-SQL
Client languages
Python, Java, Go, JavaScript, C#, Ruby, PHP
.NET, Java, Python, JavaScript, Go
Best for
Warehouse, OLAP, Lakehouse, Real-time analytics
Warehouse, OLAP, Lakehouse
Add more to this comparisonNot sure either fits? Try smart match

Google BigQuery vs Microsoft Fabric Data Warehouse: FAQ

What is the difference between Google BigQuery and Microsoft Fabric Data Warehouse?

Google BigQuery: Google's serverless, pay-per-query data warehouse built on Dremel and Colossus. Microsoft Fabric Data Warehouse: T-SQL warehouse in Microsoft Fabric that stores every table as Delta Parquet in OneLake. Google BigQuery is built for larger datasets (Multi-PB) than Microsoft Fabric Data Warehouse (≤ 1 PB). Only Google BigQuery has full-text search, vector search, geospatial, change data capture, materialized views.

When should I choose Google BigQuery over Microsoft Fabric Data Warehouse?

Choose Google BigQuery for cloud data warehouse on GCP; marketing and product analytics (GA4 export); and log and event analytics. Choose Microsoft Fabric Data Warehouse for microsoft-centric enterprise data warehouse, power BI backends with Direct Lake and migrating Synapse dedicated SQL pools.

Is Google BigQuery or Microsoft Fabric Data Warehouse more popular?

Google BigQuery ranks #12 on the WhichDB Score (65.3/100) and Microsoft Fabric Data Warehouse ranks #356 (6.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Google BigQuery and Microsoft Fabric Data Warehouse open source?

No. Google BigQuery is proprietary, closed-source software. No. Microsoft Fabric Data Warehouse is proprietary, closed-source software.