DuckDB WASM
What Is DuckDB WASM and Why Use It for Browser SQL?
DuckDB WASM brings an analytical SQL engine into the browser, enabling local file analysis without a server-side database.
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DuckDB in one minute
DuckDB is an analytical SQL database designed for local data work. It is especially useful for querying files, running aggregations, and exploring data without setting up a server database.
What WebAssembly changes
WebAssembly lets compiled software run inside modern browsers. DuckDB WASM packages DuckDB so SQL queries can run client-side, using browser APIs instead of a remote database service.
- No database server is required for normal file analysis.
- Files can be processed locally in the browser session.
- The same SQL concepts apply across CSV, JSON, and Parquet inputs.
How SQL for Files uses DuckDB WASM
SQL for Files uses DuckDB WASM as the local query engine. The interface adds file import, table browsing, a Monaco SQL editor, result display, charts, column classification, and export workflows around that engine.
Where browser SQL works well
- Quickly inspecting downloaded CSV, JSON, or Parquet files.
- Joining a few related files without loading a warehouse.
- Learning SQL with realistic file-backed examples.
- Filtering sensitive files without uploading them to a third-party tool.
When to use native or server DuckDB instead
Browser SQL is convenient, but it is still constrained by browser memory, tab lifecycle, and local device performance. For very large datasets, automated production jobs, or shared multi-user workloads, native DuckDB or a server-side system may be a better fit.
Continue in the editor
Open SQL for Files to add your own CSV, JSON, or Parquet files and try these examples locally in your browser.
Open editorRelated Learn SQL lessons
Related guides
Private Local Data Analysis in the Browser
Understand the local processing model behind SQL for Files and how to work safely with sensitive CSV, JSON, and Parquet files.
How to Query Parquet Files in the Browser
Use browser-based DuckDB to inspect Parquet files, run fast analytical queries, and export compact results without a local database install.
How to Query CSV Files with SQL in Your Browser
Use SQL for Files as a local CSV analysis workspace: add a file, inspect the generated table, write SQL, and export the rows you need.