Find the data and ask it anything

Browse the catalog, write SQL in the editor or ask the AI chat in plain language. Everything runs on the same governed lakehouse.

Ways to explore

A catalog you can browse
Catalogs, schemas, tables, volumes and columns in one tree, with ingested data marked as such.
- Search tables and columns
- See the details and lineage of each table
- Only what your profile may see
SQL editor
Write queries with Spark SQL autocompletion and see the results right away, on top of the whole lakehouse.
- Run history of every query
- Queries shared with your team
- Ask the assistant beside the editor for help with SQL
AI chat
Ask in plain language. The assistant finds the tables, runs the queries and explains what it found.
- Each step of the answer in the order it happened
- Queries run with your own permissions
- Sessions saved to continue later
Your files as tables
Upload a file to a volume and create a catalog table from it, ready to query.
- Files of up to 5 GB
- Create a table, append to it or merge into it
- Available in SQL, dashboards and chat

Book a demo and we will walk you through the whole path, from source to chat.