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MotherDuck vs Snowflake

MotherDuck: Serverless cloud data warehouse built on DuckDB, with hybrid local-plus-cloud execution. Snowflake: Fully managed cloud data warehouse with separate storage and compute, now spanning AI and apps.

key differences

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

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

choose snowflake for

  • +Enterprise data warehouse
  • +ELT pipelines with dbt
  • +Cross-company data sharing
  • +BI and reporting at scale

best at · Warehouse, OLAP, Lakehouse

MotherDuckServerless cloud data warehouse built on DuckDB, with hybrid local-plus-cloud execution.
SnowflakeFully managed cloud data warehouse with separate storage and compute, now spanning AI and apps.
overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Relational, Document
Relational, Document, Vector, Spatial
Type
Managed service
Managed service
Status
Active
Active
Developer
MotherDuck
Snowflake Inc.
First release
2023
2014
Latest version
–
–
License
ProprietaryProprietary
ProprietaryProprietary
Free tier
✓
—
popularity
WhichDB Score
37.7
74.4
Rank
#52
#7
GitHub stars
–
–
Stack Overflow questions
–
12.2K
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Massive (Multi-PB)
Horizontal scaling
None
Native
Multi-region
None
Read replicas
ACID
Full
Full
Consistency
Strong
Strong
Schema
Strict
Flexible
Architecture
Serverless, Shared storage, Client server
Distributed, Shared storage, Serverless
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Azure, Google Cloud
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
SQL (DuckDB dialect)
SQL, Snowflake Scripting, Python (Snowpark), JavaScript
Client languages
Python, JavaScript, Java, Go, R
Python, Java, JavaScript, Go, .NET, C, PHP
Best for
Warehouse, OLAP, Lakehouse
Warehouse, OLAP, Lakehouse
Add more to this comparisonNot sure either fits? Try smart match

MotherDuck vs Snowflake: FAQ

What is the difference between MotherDuck and Snowflake?

MotherDuck: Serverless cloud data warehouse built on DuckDB, with hybrid local-plus-cloud execution. Snowflake: Fully managed cloud data warehouse with separate storage and compute, now spanning AI and apps. Snowflake is built for larger datasets (Multi-PB) than MotherDuck (≤ 10 TB). Horizontal scaling is none in MotherDuck and native in Snowflake. Only MotherDuck has runs in webassembly.

When should I choose MotherDuck over Snowflake?

Choose MotherDuck for startup and team data warehouse; embedded analytics in SaaS apps; and hybrid local/cloud data exploration. Choose Snowflake for enterprise data warehouse, ELT pipelines with dbt and cross-company data sharing.

Is MotherDuck or Snowflake more popular?

Snowflake ranks #7 on the WhichDB Score (74.4/100) and MotherDuck ranks #52 (37.7/100). Popularity is not fit: check the requirements that matter for your project.

Are MotherDuck and Snowflake open source?

No. MotherDuck is proprietary, closed-source software. No. Snowflake is proprietary, closed-source software.