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Projects let you combine any sources iDBQuery supports into a single workspace, with cross-engine federation via DuckDB.
Workspace / Projects
Atlas warehouse
production_db
MySQL · 8.2M rows
warehouse
PostgreSQL · 42M rows
events
MongoDB · 1.1B rows
Q4_finance.xlsx
Excel · 12K rows
Operational data in MySQL. Finance in QuickBooks export. KPIs in Excel. They're never in one place.
Standing up a data warehouse for one cross-source question is wildly expensive.
Switching between BI tools and pasting CSVs back and forth doesn't scale.
A workspace for one analysis or one team. Owner controls members.
MySQL, Postgres, Excel, CSV, Mongo — mix freely. Each is independently introspected.
The AI can join across sources. 'Compare orders.csv against the live MySQL orders' — one prompt.
Reports inside the project use any/all sources, with one filter system across them.
Mix any combination of supported sources. The schema for each is held in the project's memory document.
DuckDB joins data across MySQL, Postgres, Mongo, Excel, CSV — in one query, no ETL.
Notes, conventions, business rules you teach the AI once. Reused on every chat.
Owner / editor / viewer. Invite members, audit who saw what.
Drop an Excel for analysis next to a live production DB. Same chat surface.
Each project has its own chat history, separate from other projects' contexts.
One project per client; each holds the client's sources + reports.
One project per site, combining Procore, Maconomy, Aconex, BIM.
Finance + ops + sales sources in one shared workspace.
Free tier covers most teams. Connect a database in 30 seconds.
No credit card required · 1M tokens / month free