DuckDB is the fast, in-process analytical database, the "SQLite for analytics." VisuaLeaf gives it one visual workspace: open a .duckdb file or query Parquet and CSV in place, write analytical SQL, browse tables, map relationships, and chart the results.
DuckDB is fast, but a .duckdb file or a pile of Parquet and CSV files tells you nothing at a glance. Iterating analytical SQL in a terminal is tedious, table structure and relationships are hard to scan, and large result sets are painful to read as raw rows. VisuaLeaf turns DuckDB into a visual workspace where you can browse tables, query files, build SQL, map relationships, and chart results.
A .duckdb file or a pile of Parquet and CSV tables gives no hint of what tables and columns are inside.
Iterating on aggregates, joins, and window functions from a command line is slow and easy to lose track of.
Table structure and how tables relate stay buried until you map them out visually.
Analytical queries return wide, deep result sets that are painful to make sense of as raw rows of text.
Open a database file, query Parquet and CSV, build SQL, map relationships, browse results, and chart them — all in one clean workspace.
A fast, in-process analytical engine that queries Parquet and CSV in place, browsed, queried, and charted visually instead of parsed from a terminal.
Manage tables visually instead of hand-writing DDL. Browse every table and view in your .duckdb file, add, rename, and edit columns with their types, defaults, and keys, and page through rows in a clean grid. Hit Show DDL to read the full CREATE TABLE statement any time.
DuckDB reads Parquet, CSV, and other local files in place, and VisuaLeaf makes it visual. Run analytical SQL straight over a Parquet or CSV file, preview the columns DuckDB infers, and browse the results as a paged, sortable grid instead of a wall of raw rows.
Turn a DuckDB database into an interactive diagram. VisuaLeaf reads your tables and keys and draws how they relate, so you can see the structure at a glance and drill into columns, types, and the CREATE statements behind each table.
VisuaLeaf connects the steps DuckDB users usually handle separately: open a database file or Parquet and CSV, explore tables, build analytical SQL, and chart the results.
Open a local .duckdb file or point at a set of Parquet and CSV files, no server to configure.
Browse tables and views, see column types, and page through rows in a clean grid.
Write analytical SQL with aggregates, window functions, and CTEs in an editor with autocomplete.
Whether you crunch Parquet and CSV, prototype a local analytics database, map how tables relate, or learn SQL, VisuaLeaf gives you a clearer way to work with DuckDB.
Prototype against a local, embedded database, query Parquet and CSV, and debug the SQL your app runs against real rows.
Write analytical SQL over Parquet and CSV, browse large result sets, and chart them without a separate BI pipeline.
Explore local files and staging tables fast, map how tables relate, and turn results into charts in one workspace.
Learn DuckDB and analytical SQL visually, see tables as diagrams, and browse results in a readable grid.
VisuaLeaf started as a MongoDB workspace and grew into a multi-database visual environment. One app, one workflow, across the databases your team actually uses.
And VisuaLeaf does not leave you staring at a wall of SQL and grids. It visualizes everything — DuckDB tables become interactive diagrams, analytical queries browse in a clean grid, and results become charts and dashboards.
VisuaLeaf is made by an independent software studio that ships often and listens to the developers who use it every day.
Download VisuaLeaf Community Edition and open a .duckdb file or query Parquet and CSV, write analytical SQL, map how your tables relate, and chart the results in one visual workspace.
Download Free Community Edition