Tools
Data & Analytics

Dynamic Query Tool

Ask your data anything.

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

  1. 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.

  2. 02

    Upload a spreadsheet

    Drop in an Excel or CSV file. Our AI analyzes it and proposes a clean, normalized relational schema.

  3. 03

    Review and confirm

    Chat with the schema-builder to adjust the proposed structure before anything is committed. You stay in control.

  4. 04

    Ask questions in plain language

    Once data is loaded, ask anything. The AI writes and runs the SQL, then returns a readable answer.

  5. 05

    Save, reuse, and visualize

    Save queries, re-run them anytime, and visualize results as charts.

  6. 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

  • Every data operation runs through server-side functions — no direct database exposure to the browser.
  • Query execution is sandboxed: read-only database role, 8-second timeout, 1,000-row cap per query. Writes are architecturally impossible.
  • Organizations are fully isolated — cross-tenant data access is prevented at the infrastructure level.

Who It's For

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