

DuckDB and SurrealDB are both Databases tools. Compare features, pricing, and ratings below to find the best fit for your team.
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Query 50GB Parquet files on S3 directly from Python without ETL, returning results in seconds
Replace pandas aggregations with SQL-based DuckDB queries for 10-50x faster group-by operations
Run dbt models locally against DuckDB instead of cloud warehouses to cut development cycle time
Use DuckDB as a compute engine over Delta Lake or Iceberg tables without a dedicated cluster
Best for: This free tier is ideal for individual developers, small projects, and evaluating SurrealDB's capabilities
Best for: The Scale plan is designed for growing teams and applications requiring more robust performance and support
Best for: Enterprise offers comprehensive solutions for large organizations with complex needs, including advanced security, dedicated support, and custom integrations
9 differences found across 18 standardized features
Evaluative strengths and weaknesses: not feature lists
DuckDB removed the "Commercial Support" plan
Plan removed · May 30, 2026
SurrealDB removed the "Cloud Professional" plan
Plan removed · May 30, 2026
SurrealDB removed the "Cloud Starter" plan
Plan removed · May 30, 2026
SurrealDB removed the "Cloud Enterprise" plan
Plan removed · May 30, 2026
SurrealDB removed the "Cloud Sandbox" plan
Plan removed · May 30, 2026
SurrealDB added a new "Enterprise" plan (Custom pricing)
Plan added · May 30, 2026
DuckDB added a new "Commercial Support" plan
Plan added · May 21, 2026