Last updated 08-14-2026
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AI Query
AI Query writes SQL from plain English prompts and explains existing queries back in everyday language. You define your database schema in the dashboard, describe what data you need, and the tool returns queries tuned to PostgreSQL, MySQL, BigQuery, Snowflake, Oracle, and other supported engines. Analysts and developers who know the business question but not the syntax use it to skip manual query drafting.
Unlike generic chatbots that guess table names, AI Query starts from schemas you upload and keeps a history of generated queries you can save and share. The SQL-to-English translator runs the other direction when you inherit a complex statement and need a readable breakdown. Yearly billing also advertises faster response speeds and priority feature access compared to monthly Pro.
Data teams, product managers, and junior developers are the core audience. The Pro plan unlocks unlimited generation, explanations, schema definitions, saved queries, and history through app.aiquery.co, with docs and an API for teams that want to embed the workflow.
Converts plain English prompts into SQL for PostgreSQL, MySQL, BigQuery, Snowflake, Oracle, and more
Pro plan costs $10 per month or $100 per year with two months free on annual billing
SQL-to-English translator explains complex statements in readable language
Dashboard lets you define database tables and schemas before generating queries
Saves query history and supports sharing generated SQL with teammates
Yearly Pro tier advertises faster AI response speeds and priority feature access
Schema-first workflow reduces wrong-table hallucinations compared to generic chat SQL tools.
Supports eight live database engines with more connectors on the roadmap.
Includes both English-to-SQL generation and SQL-to-English explanation in one subscription.
MongoDB and several cloud database connectors are still marked planned, not available.
No free tier is listed; Pro subscription is required for unlimited usage.
Which databases does AI Query support?
AI Query lists PostgreSQL, MySQL, MariaDB, SQL Server, Google BigQuery, Snowflake, Oracle, and Supabase as available engines on aiquery.co. MongoDB, Amazon RDS, Azure Database for PostgreSQL, and several other connectors are marked as planned rather than live.
How much does AI Query Pro cost?
AI Query Pro is $10 per month or $100 per year on the pricing section of aiquery.co. The annual plan advertises two months free plus faster AI response speeds, priority access to new features, and priority support compared to monthly billing.
Can AI Query explain existing SQL?
Yes. AI Query includes a SQL-to-English translator that accepts an existing query and returns a plain-language explanation. Pro subscribers get unlimited SQL explanations alongside unlimited query generation.
Do I need to know SQL to use AI Query?
No. AI Query is built for users who can describe data needs in English. You define your schema in the dashboard, enter a prompt, and the tool generates the SQL. The site also states that anyone can create efficient queries without prior SQL knowledge.
Does AI Query offer an API?
Yes. AI Query publishes API documentation linked from the main navigation at aiquery.co. Teams can sign up through app.aiquery.co to access the product dashboard, docs, and API alongside unlimited generation on the Pro plan.
What AI models power AI Query?
According to the site meta description, AI Query uses OpenAI GPT and Google PaLM 2 models to generate and explain SQL. The marketing page emphasizes error-free query generation from simple English prompts.