Natural language SQL
Ask your database questions in plain English
ChatWithDB gives teams a conversational layer for structured data. Ask what changed, which record matters, or how a metric moved, then verify the answer against cited source context before you use it.
Built for questions people keep re-running in SQL
Natural language SQL is most useful when the question is clear but the user should not need to write the query by hand. ChatWithDB helps with everyday reporting, structured analysis, and record-by-record verification in one place.
Business reporting
Ask which region, product, or segment performed best without building a fresh SQL query for every review.
Operations checks
Spot changes, anomalies, and missing records in structured business data before they become a reporting problem.
Verification and audit
Review the cited source context behind each answer so the result can be checked before it reaches a deck or dashboard.
How natural language SQL works
Ask a plain-English question such as "Which customer segment had the largest Q2 increase?"
ChatWithDB interprets the request as a structured data query over the records you uploaded or connected.
Review the cited answer and follow the supporting context back to the original rows or document fragments.
Best-fit database questions
- Which customers, products, or regions changed the most this month?
- What records are missing, duplicated, or outside the expected range?
- How does this metric compare across periods, teams, or segments?
- Which rows support the answer before it goes into a report or presentation?
Natural language SQL FAQ
What does natural language SQL mean in ChatWithDB?
It means asking database questions in plain English instead of writing SQL manually for every lookup, summary, or comparison.
Is this the same as an AI database assistant?
Yes. This page covers the workflow people usually mean when they search for an AI database assistant, but it stays centered on verifiable answers rather than vague chatbot replies.
When should I use this instead of a spreadsheet page?
Use this page when the question belongs to structured records or database-backed reporting. Use the Excel or CSV pages when the source file itself is the thing you need to analyze.
Can I verify the answers?
Yes. ChatWithDB is built around cited answers so you can inspect the source context before you reuse the result.
Turn the next database question into an answer
Start with the demo, then move into your own reporting flow when you want a workspace that keeps the evidence attached to the answer.
Explore the demo