Query a CSV File with SQL

Query a CSV file with SQL online. Filter, group, sort and join with DuckDB in your browser. No database, no install and no upload.

Quick answer: Add files, write SQL, download the result.

Related: SQL on Your Files: Query CSV, Excel and Parquet · Run SQL on an Excel File · Query Parquet Files Online · Join CSV Files with SQL · CSV Guides and Free CSV Tools

How to use the Query a CSV File with SQL

Add files, write SQL, download the result.

SQL on Your Files lets you query CSV, Excel, JSON and Parquet files with real SQL, without installing a database or a tool like DBeaver. Add one or more files, each becomes a table, then write SELECT, JOIN, GROUP BY, window functions and more. It uses DuckDB, a fast analytics database that runs inside your browser, so your files stay on your device. The SQL engine itself (about 30 MB) is downloaded once from a CDN the first time you run a query.

  1. Add one or more files
  2. Write a SQL query using the table names
  3. Run it and download the result

Tips

Example

Input: data.csv

Output: query result as CSV

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Frequently asked questions

How do I query a CSV with SQL?

Add the CSV, then write SELECT with WHERE, GROUP BY or ORDER BY. The file name becomes the table name.

Which SQL does it use?

DuckDB SQL, which is close to PostgreSQL. Joins, aggregates, window functions, CTEs and date functions all work.

Does it work offline?

Not the first time, because the SQL engine is downloaded when you first run a query.

Can I run SQL on a CSV file without a database?

Yes. Add the file, write a query such as SELECT * FROM my_file WHERE amount > 100, and run it. It uses DuckDB in your browser, so there is nothing to install and the file is not uploaded.

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