This page is designed to help you find out whether NatureQuery.app is good and if it is the right choice for you.
NatureQuery lets you ask your database questions in plain English. It writes read-only SQL for PostgreSQL, MySQL, SQL Server, Supabase and 10 more databases, runs it, and gives you the answer as a table, a chart or a summary.
NatureQuery Analyst answers why a number changed. Ask "Why did revenue drop in September?" and it runs read-only queries, splits the change by every segment it can find, and names what drove it and the day it started. A second AI checks the report, and every figure links to the query behind it. Every new account can try it on a demo shop.
Also: dashboards, scheduled reports by email, CSV and Excel upload, team plans with roles, and a Windows app for databases on your own network.
Listed in
Plain English to SQL
Type questions in natural language, get SQL plus results in seconds
Database support
14+ databases including PostgreSQL, MySQL, MongoDB, BigQuery, Snowflake
Schema-aware AI
AI understands your data structure for accurate, context-aware queries
Team workspaces
Collaborate with teammates on saved queries and shared dashboards
Saved queries
Pin and reuse queries with one click
Security and compliance
2FA, encrypted connections, GDPR-compliant data export
I built NatureQuery after watching non-technical teammates wait days for simple data answers because the engineers were always busy. The pattern was the same everywhere: someone needs a number, they ask an engineer, the engineer has 10 other priorities, and a 2-minute question becomes a 3-day delay.
NatureQuery removes that bottleneck. Type a question in plain English, get the SQL and the answer in seconds.
NatureQuery is the only natural-language SQL tool that supports 14+ databases out of the box, including PostgreSQL, MySQL, MongoDB, BigQuery, and Snowflake. Unlike code-only tools, it gives you both the generated SQL and the actual results, so analysts can verify the query before trusting the answer.
Founders, product managers, business analysts, and operations teams at startups and small companies who need to answer data questions without waiting on engineering. Anyone who has ever sent a Slack message asking "can someone pull this number for me" is the target user.
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