DuckDB Online Compiler / SQL Runner

Write, test, and execute DuckDB SQL queries online directly from your browser with our free Online DuckDB Compiler / SQL Runner. Practice analytical SQL, aggregations, joins, filtering, and OLAP-style queries without installing the DuckDB CLI or configuring Python, R, or a local database environment.

How to Use This DuckDB Compiler

  1. Write or paste your DuckDB SQL
    Enter your query in the Code Editor. You can test SELECT, CREATE TABLE, INSERT, WHERE, GROUP BY, joins, aggregate functions, window functions, and other supported DuckDB SQL features.
  2. Click the Run button
    Select Run to execute your SQL query. If your code contains a syntax or execution error, review the returned message, correct the query, and run it again.
  3. Check the Output screen
    Query results and execution messages appear in the Output panel. Use the available controls to copy, download, or delete the output before testing another analytical query.

Key Features

  • Free Online DuckDB SQL Runner: Write and execute DuckDB SQL directly from a modern browser.
  • Zero Installation: No need to install DuckDB CLI, Python, R, or configure a local database for supported exercises.
  • In-Process OLAP SQL: Practice analytical database queries designed for fast local data processing.
  • Instant Execution: Click Run and quickly review query results or SQL errors.
  • Analytical Queries: Test filtering, aggregation, grouping, sorting, joins, and supported window functions.
  • Table Operations: Practice creating tables, inserting sample data, and querying structured datasets.
  • SQL-Friendly Environment: Use familiar relational SQL syntax for data exploration and analysis.
  • Dark and Light Mode: Switch the Code Editor theme for comfortable query development.
  • Output Controls: Copy, download, or clear query results directly from the Output panel.
1. How is DuckDB different from SQLite?

Both DuckDB and SQLite are lightweight, in-process database systems that can run without a separate database server. Their main focus is different: SQLite is commonly used for transactional and application storage, while DuckDB is designed primarily for analytical and OLAP workloads.

For example, DuckDB is well suited to aggregation-heavy queries:

DuckDB is especially useful when you want to analyze datasets using SQL without deploying a traditional database server.

Yes. You can use familiar SQL statements such as SELECT, WHERE, ORDER BY, GROUP BY, and supported joins.

A basic query:

Filter selected records:

You can also run aggregations:

Enter your SQL in the Code Editor, click Run, and review the result in the Output screen.

No. You can use this Online DuckDB Compiler / SQL Runner directly from your browser for supported SQL exercises without installing the DuckDB CLI or setting up Python or R.

For production analysis, persistent local databases, application integration, large datasets, external files, extensions, or advanced workflows, a local DuckDB environment may still be useful.

Yes. DuckDB is designed for analytical SQL workloads, making it useful for aggregations, reporting, exploratory data analysis, and querying large structured datasets.

For example:

You can also practice window functions where supported:

This makes the online DuckDB editor useful for data analysts, data scientists, backend engineers, SQL learners, and anyone practicing modern analytical database queries.