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Google BigQuery vs MotherDuck

Google BigQuery: Google's serverless, pay-per-query data warehouse built on Dremel and Colossus. MotherDuck: Serverless cloud data warehouse built on DuckDB, with hybrid local-plus-cloud execution.

key differences

  • Google BigQuery is built for larger datasets (Multi-PB) than MotherDuck (≤ 10 TB).
  • Horizontal scaling is native in Google BigQuery and none in MotherDuck.
  • Only Google BigQuery has full-text search, vector search, geospatial, change data capture, stored procedures.
  • Only MotherDuck has runs in webassembly.

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 motherduck for

  • +Startup and team data warehouse
  • +Embedded analytics in SaaS apps
  • +Hybrid local/cloud data exploration
  • +Serving DuckDB-based dashboards

best at · Warehouse, OLAP, Lakehouse

Google BigQueryGoogle's serverless, pay-per-query data warehouse built on Dremel and Colossus.
MotherDuckServerless cloud data warehouse built on DuckDB, with hybrid local-plus-cloud execution.
overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document, Vector, Spatial
Relational, Document
Type
Managed service
Managed service
Status
Active
Active
Developer
Google
MotherDuck
First release
2010
2023
Latest version
–
–
License
ProprietaryProprietary
ProprietaryProprietary
Free tier
✓
✓
popularity
WhichDB Score
65.3
37.7
Rank
#12
#52
GitHub stars
–
–
Stack Overflow questions
26.1K
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Medium (≤ 10 TB)
Horizontal scaling
Native
None
Multi-region
Read replicas
None
ACID
Full
Full
Consistency
Strong
Strong
Schema
Flexible
Strict
Architecture
Serverless, Distributed, Shared storage
Serverless, Shared storage, Client server
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
Google Cloud
AWS
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)
SQL (DuckDB dialect)
Client languages
Python, Java, Go, JavaScript, C#, Ruby, PHP
Python, JavaScript, Java, Go, R
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 MotherDuck: FAQ

What is the difference between Google BigQuery and MotherDuck?

Google BigQuery: Google's serverless, pay-per-query data warehouse built on Dremel and Colossus. MotherDuck: Serverless cloud data warehouse built on DuckDB, with hybrid local-plus-cloud execution. Google BigQuery is built for larger datasets (Multi-PB) than MotherDuck (≤ 10 TB). Horizontal scaling is native in Google BigQuery and none in MotherDuck. Only Google BigQuery has full-text search, vector search, geospatial, change data capture, stored procedures.

When should I choose Google BigQuery over MotherDuck?

Choose Google BigQuery for cloud data warehouse on GCP; marketing and product analytics (GA4 export); and log and event analytics. Choose MotherDuck for startup and team data warehouse; embedded analytics in SaaS apps; and hybrid local/cloud data exploration.

Is Google BigQuery or MotherDuck more popular?

Google BigQuery ranks #12 on the WhichDB Score (65.3/100) and MotherDuck ranks #52 (37.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Google BigQuery and MotherDuck open source?

No. Google BigQuery is proprietary, closed-source software. No. MotherDuck is proprietary, closed-source software.