UnSQL AI
Last Updated on: Sep 12, 2025
UnSQL AI
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AI Productivity Tools
AI SQL Query Builder
AI Analytics Assistant
AI Reporting
AI Data Mining
AI Knowledge Management
AI Knowledge Base
AI Developer Tools
AI Workflow Management
AI Code Assistant
What is UnSQL AI?
UnSQL AI is a productivity tool that converts human-friendly questions into SQL queries. Designed for data analysts, product managers, business users, and developers, it eliminates the need to write SQL manually by translating plain English into database queries.

The system connects to various databases and produces queries showing LTV, churn on e-commerce data, revenue analyses, and more—helping non-technical users access insights effortlessly.
Who can use UnSQL AI & how?
  • Data analysts: needing quick query generation.
  • Business managers: seeking metrics without SQL skills.
  • Product teams: tracking KPIs through simple questions.
  • Developers: auto-generating SQL for reporting.
  • Students: learning basic query structure through examples.

How to Use UnSQL AI?
  • Go to the UnSQL website and connect your database.
  • Type a question like “Show me monthly active users broken down by region.”
  • Receive the generated SQL query in real time.
  • Preview the results against your data source.
  • Copy or tweak the SQL within the editor.
  • Save or export queries for reuse.
What's so unique or special about UnSQL AI?
  • Natural language to SQL translation with query execution.
  • Supports performance metrics like churn, LTV, ROAS, etc.
  • Instant preview and query editing.
  • Archived queries for auditability and reuse.
Things We Like
  • Non-SQL users can access data directly.
  • Speeds up data-driven reporting significantly.
  • Supports complex metrics beyond simple aggregation.
  • Simple, intuitive interface with live results preview.
Things We Don't Like
  • May generate suboptimal SQL on very complex schemas.
  • Requires valid DB connection setup.
  • Role-based access or audit tracing may be limited.
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Pricing information is not available on the website.
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Popular Mention

FAQs

Yes—supports major SQL databases via connection string.
Generally high, but complex queries may need manual review.
Yes—archived queries for reuse and reference.
Analysts, PMs, and non-technical decision makers.

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