Does AskYourDatabase Keep My Database Data Private?
Updated
AskYourDatabase does not guarantee that your database data stays entirely on your machine. According to the site's own product walkthrough, "Local connections do not mean offline AI: questions and necessary response data can reach a model provider through the AI gateway." So if your question is whether connecting from your own computer keeps everything local, the answer is no — the AI processing step can involve an external model provider. If you need stronger control, the site points to private deployment as an enterprise discussion, and notes that even self-hosting the application can still involve external model API calls. A locally hosted model is described as a separate deployment scope.
What actually leaves your environment
The key distinction is between where your database lives and where the AI runs. AskYourDatabase Desktop connects from your computer and requires your computer to have database access. That part is local. But the natural-language question you type, plus the data needed to produce a response, can travel to a model provider through the AI gateway.
In practice this means:
- Your question text is sent for interpretation.
- Necessary response data — the values needed to generate an answer, SQL, or chart — can also reach the model provider.
- Your database connection itself stays on your side; the app reaches your database from your machine.
The site does not specify exactly which rows or columns are transmitted, so treat "necessary response data" as the operative phrase and test with non-sensitive data first if that boundary matters to you.
The three deployment paths and what each implies
The product walkthrough separates the options by who needs answers and where they will ask:
| Path | Who it's for | Data handling implication |
|---|---|---|
| Desktop app | Analysts, ops teams, business users on Windows or macOS | Connects from your computer; questions and response data can reach a model provider via the AI gateway |
| Website Chatbot | Product teams embedding database questions into a site or portal | You configure approved data; plan authentication and user-level access before rollout |
| Private deployment | Organizations with hosting or data-handling requirements | Agreed with the enterprise team; self-hosting can still involve external model API calls |
The site explicitly frames private deployment as an enterprise discussion covering application hosting, the model endpoint, network access, and operational responsibilities. That is the path to take if the default gateway behavior is unacceptable for your data.
What to verify before you roll out
The site's own guidance for the Website Chatbot path is the most concrete privacy instruction available: plan authentication and user-level data access before rollout, and test that each user can retrieve only the records they are allowed to see. That is an access-control check, not a data-residency guarantee, but it is the step the vendor tells you to do.
For any deployment, a practical sequence:
- Connect with a limited account. Use a database account restricted to the tables or reporting views you need, and start with read-only permissions for analysis.
- Define your business terms. Add verified SQL examples and schema context so a familiar phrase maps to the intended data — this reduces the chance of the model pulling broader data than intended.
- Check the first answers against a trusted report. Inspect filters, joins, and totals before relying on output.
- Confirm the model endpoint question with the vendor if you need to know precisely what is transmitted and to whom. The public material describes the gateway behavior but does not enumerate the data fields.
Bottom line
If "private" means "nothing leaves my network," AskYourDatabase's standard Desktop and Website Chatbot paths do not meet that bar as described — the AI gateway can send questions and necessary response data to a model provider. If you need hosting or data-handling terms set explicitly, private deployment is the route the vendor offers, with the caveat that self-hosting the app can still involve external model API calls unless you separately scope a locally hosted model.