What Is AskYourDatabase and What Does It Do?

Updated

AskYourDatabase is an AI-powered tool that turns natural-language questions about a SQL database into SQL, answers, and charts, so you can query data without writing queries by hand. It supports PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake, and other engines, and it comes in two separate products: a Desktop app for your own team's analysis, and an embeddable Website Chatbot for your users. It fits teams and product builders who need answers from a database but don't want every question to go through a SQL developer.

The core idea

You ask a business question in plain language. AskYourDatabase translates it into SQL, runs it, and returns an answer — plus a chart when you want one. The point is to skip the manual query-writing step while still letting you inspect what the AI actually did.

Two products, two audiences

The choice depends on who needs answers and where they'll ask.

Desktop app Website Chatbot
Who it's for Analysts, operations teams, business users Product teams adding database questions to a site or customer portal
Where it runs Windows or macOS app on your computer Embedded in your application
Setup Connect from your computer; your machine needs database access Configure a chatbot, connect approved data, integrate the chat interface
Key planning step Start with read-only permissions Plan authentication and user-level data access before rollout

Private deployment is a separate, enterprise-level discussion rather than a self-serve option.

How it works, step by step

The documented flow runs from a business question to a checked answer:

  1. Connect approved data. Use a database account limited to the tables or reporting views you need. For analysis, start with read-only permissions. Follow the connection guide for your engine.
  2. Explain your business terms. Define what "revenue," "active customers," date ranges, and table relationships mean. Add verified SQL examples and schema context so a familiar phrase maps to the intended data.
  3. Check, then explore. Compare the first answers against a trusted report. Inspect filters, joins, and totals before relying on the results, then ask follow-ups or request a chart.

The "check the answers" step is built into the product's own framing — it expects you to verify, not just accept.

What to know before you commit

  • Local connections don't mean offline AI. Even when you connect from your own computer, questions and necessary response data can reach a model provider through the AI gateway. If that matters to you, treat hosting and model endpoint as explicit decisions.
  • Self-hosting still involves external calls. Hosting the application yourself can still involve external model API calls; a locally hosted model is a separate deployment scope.
  • Access control is your job for the chatbot. Before rollout, test that each user can retrieve only the records they're allowed to see.
  • Pricing and plan limits are listed on the site's pricing page; check current plans and usage allowances there rather than assuming a tier.

When it's a good fit

AskYourDatabase makes sense if you have a supported SQL database, a set of recurring business questions, and either a team that wants self-serve analysis (Desktop) or users who should query data inside your product (Website Chatbot). It's less suited to situations where no external model calls are permitted, or where you need a fully local model without a separate deployment effort.