SQL File Explorer — Query CSV, Parquet & JSONL
Upload a CSV, Parquet, or JSONL file and run SQL queries on it — powered by DuckDB WASM. No server. Your data never leaves your browser.
How to use
- 1
Upload your data file
Drop a CSV, Parquet, or JSONL file. DuckDB loads it locally — no upload to any server.
- 2
Write a SQL query
Use full SQL: SELECT, WHERE, GROUP BY, JOIN multiple files, window functions, and more — powered by DuckDB.
- 3
Download results
Export your query results as a CSV file.
Why use this tool?
- Full SQL on local files — SELECT, WHERE, GROUP BY, JOINs, window functions
- Supports CSV (auto-detected), Parquet, JSONL, and JSON files
- Powered by DuckDB WASM — the same engine used in production data pipelines
- Your data never leaves your browser — runs entirely client-side
Frequently asked questions
- What SQL dialect is supported?
- DuckDB SQL — a superset of standard SQL with analytical extensions including window functions, UNNEST, LIST functions, and more. See duckdb.org for the full reference.
- How large a file can it handle?
- DuckDB WASM handles files up to several hundred MB comfortably in modern browsers. Performance depends on available RAM and the complexity of your query.
- Is my data uploaded anywhere?
- No. DuckDB runs entirely in a Web Worker in your browser via WebAssembly. The WASM binary (~7MB) is downloaded once from a CDN and cached; your data files never leave your device.
- Can I query multiple files?
- Yes. Upload multiple files and reference them by name in SQL. For example: SELECT a.*, b.name FROM read_csv_auto('orders.csv') a JOIN read_csv_auto('customers.csv') b ON a.customer_id = b.id
- What happened to Vortex file support?
- Vortex (SpiralDB's columnar format) is not yet supported by DuckDB WASM. We'll add it when a stable DuckDB extension ships.
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