Is DuckDB-WASM production-ready?

DuckDB-WASM is well suited to many browser-based analytics workflows, especially when you want local SQL-style analysis without a server. Practical limits still depend on browser memory, dataset size, and device capability.

Can I write parquet locally?

Yes. Browser-based workflows can generate parquet output in memory and let the user download it locally without sending the data to a server.

Why use DuckDB-WASM with CSV files?

DuckDB-WASM is useful when CSV is your source format but you want SQL queries, aggregations, filtering, joins, or parquet export directly in the browser.

DuckDB-WASM CSV Guide

Learn how DuckDB-WASM can be used to query CSV files with SQL and export parquet directly in the browser for fast, client-side analytics workflows.

What DuckDB-WASM is

DuckDB-WASM is a browser-oriented version of DuckDB that allows SQL-style analytics workflows to run directly in the web environment. Instead of sending files to a backend for every query, you can load tabular data locally and perform filtering, grouping, aggregations, and transformations inside the browser.

For CSV workflows, this is especially useful because CSV is often the source format for exported data, but SQL is a much more expressive way to analyze and transform that data once it is loaded.

Why use DuckDB-WASM with CSV data

Run SQL queries directly on local CSV files in the browser
Filter, group, sort, and aggregate without a server round trip
Convert CSV-based workflows into parquet-oriented outputs
Build analytics-style browser tools around structured tabular data
Prototype powerful client-side data workflows with SQL semantics

Where DuckDB-WASM fits in a CSV workflow

CSV is often used to move data between systems, export reports, and share flat datasets. But once the file is loaded, many users want to go beyond simple parsing or row-by-row transformations. They want richer querying, grouped analysis, derived fields, and faster exploration of larger datasets.

DuckDB-WASM fits that use case well because it brings a SQL-oriented analysis model into the browser. That makes it valuable when you want the convenience of client-side workflows with more expressive power than a basic CSV parser alone.

Try CSV to parquet in the browser

Parquet can be a better fit than CSV for certain analytics and storage workflows because it is a columnar format rather than a plain-text exchange format. Use the tool below to try a browser-based CSV to parquet workflow.

CSV to Parquet

Common use cases

Client-side SQL analysis

Query CSV exports with SQL directly in the browser when you need filtering, grouping, sorting, or aggregation without a backend.

Parquet export

Convert browser-loaded CSV data into parquet when a columnar output is more useful for downstream analytics workflows.

Interactive analytics tools

Build browser-based analytics interfaces where tabular data can be queried locally with less server dependency.

Prototype data products

Explore SQL-centric client workflows before moving them into a larger production data stack or backend service.

FAQ

Is DuckDB-WASM production-ready?: DuckDB-WASM is well suited to many browser-based analytics workflows, especially when you want local SQL-style analysis without a server. Practical limits still depend on browser memory, dataset size, and device capability.
Can I write parquet locally?: Yes. Browser-based workflows can generate parquet output in memory and let the user download it locally without sending the data to a server.
Why use DuckDB-WASM with CSV files?: DuckDB-WASM is useful when CSV is your source format but you want SQL queries, aggregations, filtering, joins, or parquet export directly in the browser.