Text to SQL
Text to SQL — plain English to a validated schema
Write what your data looks like in plain English. OffDataAI turns it into validated SQL — full CREATE TABLE DDL with keys, types, and constraints — for every major warehouse, plus an ERD and a dbt project. Text to SQL that ships a real schema, not a throwaway query.
-- Prompt:
-- "Track support tickets. Each ticket belongs to a customer,
-- has a priority, a status, and many comments over time."
CREATE TABLE support.tickets (
ticket_id BIGINT GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
customer_id BIGINT NOT NULL REFERENCES support.customers (id),
priority TEXT NOT NULL
CHECK (priority IN ('low','medium','high','urgent')),
status TEXT NOT NULL DEFAULT 'open'
CHECK (status IN ('open','pending','closed')),
opened_at TIMESTAMPTZ NOT NULL DEFAULT now()
);
CREATE TABLE support.ticket_comments (
comment_id BIGINT GENERATED ALWAYS AS IDENTITY PRIMARY KEY,
ticket_id BIGINT NOT NULL REFERENCES support.tickets (ticket_id),
body TEXT NOT NULL,
created_at TIMESTAMPTZ NOT NULL DEFAULT now()
);Most text-to-SQL tools translate one question into one SELECT. OffDataAI goes further: it turns your description into an entire, validated schema and the SQL to build it. Describe your data; the interview agent clarifies relationships and grain; OffDataAI compiles a typed model, checks referential integrity, and emits native DDL — Snowflake, BigQuery, Databricks, Redshift, Postgres, Synapse, or Fabric. Because everything comes from one validated model, the types are consistent, the foreign keys line up, and you also get an ERD, seed data, and a runnable dbt project. Refine it conversationally and the SQL regenerates.
What OffDataAI generates
English in, runnable DDL out
Describe your data and get full CREATE TABLE statements with keys, types, and constraints — not a single ad-hoc query.
Validated, not guessed
The schema passes referential-integrity and type checks before any SQL is emitted, so the output is consistent and runs the first time.
Every major SQL dialect
The same description compiles to Snowflake, BigQuery, Databricks, Redshift, Postgres, Synapse, and Fabric — with native types and features.
Refine in plain English
Ask for a new column, table, or a grain change. OffDataAI updates the model and regenerates the SQL, versioning every change.
Frequently asked questions
What does text to SQL mean in OffDataAI?
How is this different from asking ChatGPT to write SQL?
Which SQL dialects can it generate?
Does it only generate DDL, or also analytics models?
Can I refine the result conversationally?
More ways to go from words to a warehouse
- Database schema designDesign normalized SQL schemas with AI.
- AI data modeling toolThe full pipeline — model, DDL, dbt, and seed data.
- ERD generatorTurn the same description into an ERD.
- Snowflake schema generatorGenerate Snowflake DDL from natural language.
- BigQuery schema generatorGenerate BigQuery DDL from natural language.
- dbt project generatorGet a runnable dbt project alongside your SQL.
Your data warehouse is one conversation away.
Describe your domain, or open one of 150+ production-grade templates. ERDs, DDL, and a complete dbt project — generated in under a minute.
