When you need to inspect a Parquet file or test an analytical SQL query, setting up a database server adds unnecessary friction. This DuckDB workflow runs in the browser through DuckDB-Wasm, so you can attach common data files, inspect their structure, execute SQL, and export results from one temporary workspace.
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DuckDB Analytics Playground
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DuckDB playground query Parquet online
Use onlineLoad Parquet, CSV, TSV, JSON, or NDJSON data and use DuckDB SQL for filtering, grouping, joins, window functions, and exploratory analysis. Start by inspecting inferred columns and types, then narrow the query before exporting the result you need.
The playground can work with supported .duckdb databases and provides a schema-oriented workspace for tables and queries. It is useful for reviewing a file from another project, validating SQL syntax, or preparing a reproducible example on a device where installing a native client is inconvenient.
DuckDB-Wasm performs the core query workflow in your browser. Large files still consume device memory and CPU, so start with focused columns or filters when possible. Account, comments, and anonymous site analytics may use normal network requests, but the analytical workload is designed to stay local.
Yes. Load a supported Parquet file and query it with DuckDB SQL without first converting it to CSV.
The current workflow supports CSV, TSV, JSON, NDJSON, and Parquet, plus supported .duckdb database files.
No. The SQL engine runs through DuckDB-Wasm in a modern browser.
Yes. After running a query, use the available result export options for the workflow and format you need.
Analyze CSV, TSV, JSON, NDJSON, and Parquet locally with DuckDB-Wasm, run analytical SQL, manage .duckdb databases, and learn DuckDB through interactive lessons.
Open DuckDB Analytics Playground