DuckDB Enables Browser-Based Queries of Iceberg Datasets

DuckDB Enables Browser-Based Queries of Iceberg Datasets

DuckDB has launched end-to-end interaction with Iceberg REST Catalogs directly within a web browser, leveraging DuckDB-Wasm. This new capability allows querying, reading, and writing Iceberg tables in a serverless manner, without requiring any infrastructure setup.

Why This Matters

Traditional data analytics workflows often require complex infrastructure for querying data lakes. Idealized models assume seamless access, but in reality, setting up and maintaining these systems introduces significant overhead and cost. This new feature addresses this by shifting computation to the client-side, reducing reliance on server infrastructure and lowering operational expenses.

Key Insights

• DuckDB-Wasm support for extensions: Enables functionality beyond core database operations.
• Iceberg REST Catalog integration: Allows access to data stored in Apache Iceberg format via REST APIs.
• Amazon S3 Tables demo: Showcases the feature’s practical application with a popular cloud storage service, presented at AWS re:Invent 2025.

Working Example

(No code available in context)

Practical Applications

• Use Case: Data scientists at a startup can explore Iceberg datasets stored in S3 directly from their browser, without needing to provision servers.
• Pitfall: Relying solely on browser-based querying for extremely large datasets could lead to performance limitations due to client-side processing constraints.

References:

• https://www.infoq.com/news/2026/01/duckdb-iceberg-browser-s3/