Data & Analytics
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Dynamic Query Tool
Turn any spreadsheet into a queryable database in minutes — then ask questions in plain English. No SQL. No data team required.
Try it now ↗How It Works
01
Connect your data
Use our zero-setup managed storage, connect your own Supabase project via OAuth, or point us at any PostgreSQL database with a connection string.
02
Upload a spreadsheet
Drop in an Excel or CSV file. Our AI analyzes it and proposes a clean, normalized relational schema.
03
Review and confirm
Chat with the schema-builder to adjust the proposed structure before anything is committed. You stay in control.
04
Ask questions in plain language
Once data is loaded, ask anything. The AI writes and runs the SQL, then returns a readable answer.
05
Save, reuse, and visualize
Save queries, re-run them anytime, and visualize results as charts.
06
Keep data fresh
Sync additional files into existing datasets at any time without rebuilding from scratch.
Key Features
AI-powered schema design
Transforms raw spreadsheets into normalized, multi-table relational schemas with no database expertise required.
Natural language Q&A
Ask questions in English or Spanish; get answers backed by real, executed SQL.
Flexible connectivity
Zero-setup managed storage, Supabase OAuth, or any PostgreSQL connection string.
Conversational schema review
Review and refine the proposed schema in chat before tables are built.
Query library
Save, name, and re-run common queries; visualize results as charts.
Incremental data sync
Upload updates to existing datasets; dimension tables are upserted, fact tables are appended automatically.
Security & Trust
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Every data operation runs through server-side functions — no direct database exposure to the browser.
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Query execution is sandboxed: read-only database role, 8-second timeout, 1,000-row cap per query. Writes are architecturally impossible.
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Organizations are fully isolated — cross-tenant data access is prevented at the infrastructure level.
Who It's For
| Who | Why DQT |
|---|---|
| SMBs and growing teams | Self-serve analytics without hiring a data team |
| Agencies & consultants | Manage data for multiple clients, each with their own isolated database |
| Operations & finance teams | Regular, repeatable reports without waiting on IT |
| Non-technical founders | Understand your own business data on your own terms |
How We Compare
| DQT | BI Tools | Self-serve SQL | |
|---|---|---|---|
| Schema design from a spreadsheet | ✓ | ✗ | ✗ |
| Natural language Q&A | ✓ | Partial | ✗ |
| Zero-setup managed storage | ✓ | ✗ | ✗ |
| Bring your own database | ✓ | ✗ | ✗ |
| No SQL knowledge required | ✓ | Partial | ✗ |
| Incremental data sync | ✓ | Varies | Varies |
First insight in under 5 minutes.
Upload a file, review the AI-proposed schema, ask a question.
Get started ↗