DuckDB vs Snowflake
No clear leader: Snowflake (65.9) and DuckDB (62.4) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for data warehouse software. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
DuckDB
An in-process SQL analytical database that runs natively in applications across operating systems and environments. Supports querying files and cloud data directly with a SQL dialect and includes vector search capabilities.
Snowflake
Snowflake is a fully managed cloud data warehouse that handles data ingestion, processing, analytics, and AI model deployment. It enables zero-copy data sharing across teams, clouds, and external organizations while maintaining built-in governance and security.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Snowflake
Consumption-based pricing by compute and storage usage; specific rates referenced in Snowflake Service Consumption Table
- Standard-
- Enterprise-
- Business Critical-
- Virtual Private SnowflakeContact sales
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- AWS
DuckDB
- Postgres
- S3
- Azure
- Google Cloud
- Hugging Face
- SQLite
- MySQL
- Iceberg
- Delta Lake
- Parquet
- JSON
- Arrow
- Avro
- Pandas
- dplyr
- Jupyter
- Marimo
- Claude
- Cloudflare
- ODBC
- HTTP
- Excel
- Vortex
- DuckLake
- +2 more
Snowflake
- Microsoft Azure
- Google Cloud Platform
- Streamlit
- Apache Iceberg
- PyTorch
- NVIDIA
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.