TTSQL

Natural language to SQL

Natural language to SQL for teams that need precision and control

Let users ask questions the way they naturally think, then turn those requests into validated SQL with schema context, permissions, and explainable outputs.

TTSQL helps teams move from natural language to SQL without giving up accuracy, governance, or developer control.

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  • Schema-aware SQL generation across major databases.
  • Security controls and governed access for production teams.
  • Embeddable workflows for apps, copilots, and internal tools.

Why teams choose TTSQL

Production-grade query generation for commercial evaluation

Business-language understanding

Map internal terminology, definitions, and rules onto the schema so prompts match how your teams actually talk.

Explainable AI outputs

Review generated SQL, apply corrections, and keep historical context so users can trust the system.

Better adoption outside the data team

Natural language to SQL lowers the barrier for finance, ops, product, and support teams to answer their own questions.

Example prompts

How TTSQL turns language into SQL

Prompt

Which customer segments had the highest churn risk last month?

Generated SQL

SELECT segment, AVG(churn_score) AS avg_churn_score, COUNT(*) AS customers FROM customer_health WHERE snapshot_month = DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month') GROUP BY segment ORDER BY avg_churn_score DESC;

Prompt

How many leads became opportunities within 14 days by channel?

Generated SQL

SELECT source_channel, COUNT(*) AS converted_leads FROM crm_leads WHERE opportunity_created_at IS NOT NULL AND opportunity_created_at <= created_at + INTERVAL '14 days' GROUP BY source_channel ORDER BY converted_leads DESC;

FAQ

Common evaluation questions

What does natural language to SQL mean?

Natural language to SQL means users can describe the data question they want answered in plain language, and the system generates the SQL needed to retrieve it.

Can I control how natural language maps to my schema?

Yes. TTSQL supports business rules, schema descriptions, examples, and project context so the system uses your terms correctly.

Is natural language to SQL only for non-technical users?

No. It also speeds up experienced analysts and engineers by helping them draft, refine, and validate queries faster.

Related workflows

Explore adjacent search intents

Text to SQL software Text to SQL Software for Analysts, Apps, and AI Workflows | TTSQL Use TTSQL as text to SQL software for analytics teams and SaaS products. Generate secure SQL from plain English with schema-aware reasoning, validation, and multi-database support. Text to query workflows Text to Query Software for SQL Workflows and Embedded Search | TTSQL TTSQL provides a text to query experience for analytics teams and software products. Turn plain-language prompts into secure SQL, reusable filters, and governed data access flows. AI SQL generator AI SQL Generator for Product Teams and Data Workflows | TTSQL Use TTSQL as an AI SQL generator for internal analytics, customer-facing apps, and governed data access. Generate secure SQL from plain language with context-aware reasoning and validation. Text to SQL API Text to SQL API for Apps, Agents, and Internal Tools | TTSQL Add text to SQL to your application with the TTSQL API. Build natural language to SQL features, AI query assistants, and governed data workflows with project-aware query generation.

Next step

Use one platform for UI, API, and AI-driven query generation

TTSQL gives teams a consistent way to deliver text to SQL, natural language to SQL, and text to query workflows without splitting product and data logic across tools.

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