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SnoutData

SnoutData is one AI-driven IDE for every database. Connect to relational, document, and vector databases, query them with SQL, a native pipeline, or plain language, and work with the results, with an AI assistant that understands your schema.

It is a standalone desktop app for Windows, macOS, and Linux. Your connections and credentials stay on your machine, encrypted by your operating system's keychain.

SnoutData: editor, results grid, charts, and the AI assistant in one window

What you can do​

  • Connect to relational databases (MySQL/Aurora, MariaDB, PostgreSQL, SQL Server, Oracle, IBM Db2, SQLite, DuckDB, Snowflake, Amazon Redshift, SAP HANA), document databases (MongoDB), and vector databases (Pinecone). See supported databases.
  • Query any database with SQL. SQL is the common language: on MongoDB and Pinecone, SnoutData transcribes your SQL to a native aggregation pipeline or vector query. See querying beyond SQL.
  • Or go native. Write a MongoDB aggregation pipeline directly in the editor when you want the full power of the database.
  • Write SQL in a multi-tab editor with schema-aware completion and hover, on top of a live index of your tables, columns, fields, and foreign keys.
  • Run queries and explore results in a fast data grid with filtering, ordering, and cell editing. On MongoDB you can also edit documents and manage collections and indexes.
  • Ask the AI assistant for queries in plain language. It is grounded in your connection's schema, so it references real tables and columns (or collections and fields), and proposes SQL or a native pipeline straight into the editor.
  • Stay safe in production: connections can be flagged as production, with a guardrail that catches destructive statements before they run.

Get started​

  1. Install SnoutData on your computer.
  2. Connect to a database.
  3. Run your first query.
tip

Already installed? Jump to the AI assistant to see how it grounds on your schema.