Esc
↑↓ Navigate ↵ Open Esc Close

Arris Documentation

A modern Data IDE, built for the modern data team.

Welcome

Arris is a desktop data workbench for working with all the most popular database engines. Unlike many database clients that lean heavily on the JVM and consume large amounts of memory, Arris is built on a Rust backend with Rust-based drivers, keeping the IDE lightweight and fast.

And it is more than a database client: beyond writing SQL with dialect-aware autocomplete, you can join data across different databases with the DataFusion engine, work with dbt and SQLMesh through first-class support, run Python and Jupyter, and visualize query results, with more to discover as we keep improving.

This documentation covers everything from installing the app and running your first query to advanced topics like cross-source federation, analytics engineering workflows, and configuring AI providers. Use the sidebar to navigate, or pick a section below to get started.

Sections

1 Getting started
Install Arris, connect to your first database, and run a query in under two minutes.
4 articles
2 Connections
Add and manage connections to every supported database engine.
8 articles
3 Supported data sources
Connection guides for every supported engine: BigQuery, ClickHouse, DuckDB, Postgres, Snowflake, MongoDB, and more.
17 articles
4 Querying
The editor, the results viewer with charts, and the session command logs.
3 articles
5 Federation
Query multiple databases in one SQL statement, powered by the built-in DataFusion engine.
3 articles
6 Git
Track changes to your SQL files with built-in Git support: stage, commit, push, and view diffs without leaving Arris.
1 article
7 Analytics engineering
Work with dbt and SQLMesh projects, explore lineage, and run models directly from the editor.
3 articles
8 AI
Chat with a local Codex agent to write, explain, and fix schema-aware SQL (requires a Codex subscription or OPENAI_API_KEY).
1 article