VisuaLeaf is one visual workspace for the columnar OLAP database built for real-time analytics on very large datasets: browse wide columnar tables and their MergeTree engines, write analytical SQL and aggregations in a clean editor, scroll huge result sets without freezing, and turn the numbers into charts and dashboards.
ClickHouse is built for fast analytics on very large datasets, and almost everything that governs that speed — table engine, sorting key, partitioning — is decided at creation time and never seen again. VisuaLeaf puts those choices in front of you, alongside a SQL editor and charts for output no one can read as raw rows.
Analytical tables run to hundreds of columns, and a terminal renders one unreadable slice at a time.
ReplacingMergeTree, SummingMergeTree, and AggregatingMergeTree each behave differently before merges settle, and the engine name sits in a system table rather than in front of you.
The ORDER BY and PARTITION BY set at table creation decide which queries stay fast, long after anyone remembers choosing them.
Aggregations over very large tables return output nobody can read as text, so the finding stays hidden until it is charted.
Browse columnar tables with their engines and keys, write analytical SQL, scroll huge result sets, and chart the numbers — all in one workspace.
Columnar tables, MergeTree engines, partitioning, and heavy analytical SQL, browsed, queried, and charted instead of parsed from a wall of raw rows.
Manage ClickHouse tables visually instead of hand-writing DDL. Add, rename, and edit columns with their types and codecs, and see the table engine, sorting key, and partitioning across tabbed panels. Hit Show DDL to read the full CREATE TABLE statement any time.
Browse wide columnar tables one column at a time, see which MergeTree engine and partitioning each table uses, then run analytical queries with aggregations and GROUP BY. Scroll huge result sets smoothly and send the numbers straight to a chart.
ClickHouse is less foreign-key centric than a traditional relational database, so VisuaLeaf draws an interactive diagram of your databases and tables and how they connect through shared join keys, giving you a map of a wide analytical model instead of a long list of tables.
VisuaLeaf connects the steps ClickHouse users usually handle separately: connect to any cluster, explore columnar tables and engines, write analytical SQL, and turn results into charts.
Reach local, Docker, or managed ClickHouse, including ClickHouse Cloud, over HTTP or native with TLS or an SSH tunnel.
Browse databases and columnar tables, inspect every column, and see the table engine, sorting key, and partitioning.
Write analytical SQL with aggregations and GROUP BY in an editor with autocomplete, then chart the results.
Whether you build analytics on top of ClickHouse, model wide columnar tables, chart aggregations for stakeholders, or are just learning it, VisuaLeaf gives you a clearer way to work.
Design columnar tables and MergeTree engines, and debug the analytical SQL your app runs against real rows.
Inspect table engines, sorting keys, and partitioning, and explore how tables relate across large datasets.
Write aggregations over billions of rows and chart the results without a separate BI pipeline.
Learn ClickHouse visually, see how columnar tables are laid out, and turn analytical SQL into readable charts.
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 — ClickHouse schemas become interactive diagrams, queries become a clean editor, and analytical 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 browse columnar tables and MergeTree engines, write analytical SQL, scroll huge result sets, and chart the numbers in one visual workspace.
Download Free Community Edition