✨ Knowledge discovery
From SQL queries to Automated Data Catalog ✨
Get a clear understanding of datasets and usage context by analyzing metadata from your queries
Extract tables metadata with
AI data dictionary
From SQL to metadata, including: column name, data type, automated description, example values, and references (e.g., from this SQL, we'll know that order_items:id and inventory_items:product_id are joined)
Gain table usage insights from
your SQL queries
This will provide your team with: table use cases and documentation, example queries, frequently used columns, columns relations — and more.
A Second-brain for SQL