Question 1

What does QueryCanvas do?

Accepted Answer

QueryCanvas helps teams connect business data sources, ask questions with AI assistance or a visual builder, inspect the resulting query, and turn useful output into dashboards, reports, and shared answers.

Question 2

What data sources can I connect?

Accepted Answer

QueryCanvas supports PostgreSQL, MySQL, SQL Server, MongoDB, Google Sheets, REST APIs, Airtable, Notion, and CSV or Excel uploads.

Question 3

Do I need SQL to use QueryCanvas?

Accepted Answer

No. QueryCanvas is designed to reduce manual SQL work with a visual query builder and AI-assisted query drafting. Technical users can still inspect and refine the generated logic when needed.

Question 4

Can QueryCanvas work across technical and non-technical teams?

Accepted Answer

Yes. It is built for mixed teams where analysts and engineers still need control, but operations, finance, and leadership users also need a clearer path to answers.

Question 5

How does AI-assisted querying work?

Accepted Answer

You describe the business question in plain language, QueryCanvas uses source context to help draft the query, and you can review the generated output before turning it into a saved answer or report.

Question 6

Can I inspect the generated query?

Accepted Answer

Yes. QueryCanvas is designed to keep the query workflow understandable so teams can review, refine, and trust the answer before sharing it.

Question 7

Which AI models are supported?

Accepted Answer

Teams can choose from supported OpenAI and Anthropic models in the AI workflow, depending on plan access and provider availability.

Question 8

How do AI limits work?

Accepted Answer

AI usage is tied to plan allowances. Free workspaces receive smaller budgets, while paid plans receive higher monthly limits and broader access.

Question 9

Does QueryCanvas copy my full database into its own warehouse?

Accepted Answer

No. QueryCanvas is designed around connected sources and direct query workflows rather than bulk replication of your whole dataset.

Question 10

How are connection credentials handled?

Accepted Answer

Connection credentials are encrypted at rest before storage, and supported connections use SSL or TLS in transit.

Question 11

Can I share answers with teammates?

Accepted Answer

Yes. QueryCanvas supports saved reports, widget-based dashboards, and public sharing workflows with optional password protection and expiry dates so useful answers can move beyond a one-off query session.

Question 12

Can I start on a free plan and upgrade later?

Accepted Answer

Yes. You can start on the free plan, validate the workflow with your data, and upgrade later when you need higher AI usage, more sharing, or broader team access.

Questions teams ask before they put QueryCanvas into a real workflow.

Product

AI queries

Security and rollout