Connected data still feels hard to use
Teams can connect a database, spreadsheet, or API, but that does not automatically make the data understandable to the people who need answers.
AI-assisted query builder for connected data
Query connected data sources without writing every query by hand.
QueryCanvas helps teams connect databases, spreadsheets, files, and APIs, ask questions in plain language, inspect the generated query, and turn answers into dashboards and reports.
Query live business data without writing every query by hand
Ask AI in plain language, then inspect the generated query
Turn useful answers into widgets, dashboards, reports, and shared views
Supports 6 source typesDesigned for mixed technical and business teamsBuilt for dashboards, reports, and repeatable answers
querycanvas.io
Built for launch-ready reporting workflows
QueryCanvas is designed to help teams move from connected data to a usable answer faster, without turning the homepage into a heavy product demo.
Works with databases, spreadsheets, files, and APIs
AI-assisted query drafting with schema-aware context
Built for widget dashboards, secure sharing, and recurring reports
Why teams get stuck
Connecting data is only the beginning. Getting a useful answer is the harder part.
The pain usually starts after the connection is live: business users still need help understanding the schema, writing the query, and translating raw output into a decision.
Business questions still turn into SQL bottlenecks
Non-technical teammates often depend on analysts or engineers for every new filter, join, and report request, even when the data is already available.
Raw tables and IDs are not a usable reporting experience
Without schema guidance, query assistance, and readable output, teams waste time translating structure instead of making decisions.
How QueryCanvas helps
Give your team a faster path from question to answer.
QueryCanvas is built for the messy middle between raw data access and a polished reporting workflow: enough control for technical teams, with far less friction for everyone else.
01
Connect the sources your team already uses
Bring together PostgreSQL, MySQL, SQL Server, MongoDB, Google Sheets, REST APIs, Airtable, Notion, and uploaded files in one reporting workspace.
02
Ask questions in plain language or build visually
Let QueryCanvas help draft the query, show the structure behind the answer, and reduce the amount of hand-written SQL needed for everyday work.
03
Share results in a format the business can use
Move from a question to widget-based dashboards, saved answers, share links, and scheduled reports without bouncing between separate tools.
Supported integrations
Connect the data sources your team already depends on.
QueryCanvas is built to work across databases, spreadsheets, APIs, and uploaded files so teams can keep one reporting workflow even when the source systems differ.
Need a deeper setup path? The cards below are generated from the active source catalog, so this section stays in sync as new integrations go live.
MongoDB
Database
Explore MongoDB collections, generate query logic faster, and turn results into live dashboards.
PostgreSQL
Database
Query PostgreSQL data with AI assistance or a visual builder, then turn results into reusable reporting assets.
MySQL
Database
Give teams a faster path to MySQL answers without making every request a manual SQL task.
SQL Server
Database
Support operational reporting on SQL Server and Azure SQL with a more approachable query workflow.
REST API
API
Query API-backed business data with structured setup, reusable connections, and clearer output.
CSV / Excel
File
Upload files and treat them like a source you can query, reuse, and combine with the rest of your data stack.
What makes it useful
Built to reduce technical friction without hiding the data workflow.
The product value is not just faster querying. It is the ability to go from connected data to a readable, shareable result with less back-and-forth across the team.
Connect your data stack
Start from the systems you already have instead of exporting everything into a separate workflow first.
Query with AI assistance
Describe the outcome you need, review the generated query, and move faster when the request would normally require SQL.
Build widget-based dashboards
Turn query output into dashboard widgets so teams can combine multiple answers in one place instead of recreating the same reporting view over and over.
Share dashboards with guardrails
Publish dashboards for teammates, clients, or leadership with optional password protection and expiry dates when the audience should be controlled.
Read answers, not just raw rows
See results in a form business users can actually work with, then save and reuse the output as needed.
Stay close to the source of truth
QueryCanvas is designed around connected sources and direct query workflows, not around copying your whole dataset into a separate analytics stack.
Product walkthrough
One clear reporting flow instead of a homepage carousel.
The old rotating slider added weight without explaining the product well. This walkthrough keeps the story linear: connect data, inspect context, ask a question, and turn the result into something the team can reuse.
Step 01
Connect a source in minutes
Set up the data source, confirm access, and give your workspace a shared starting point for reporting.
Step 02
Explore schema and query context
Browse collections, tables, and fields so business questions map to real data structure more quickly.
Step 03
Ask AI or build the query visually
Draft the answer in plain language, inspect the generated query, and refine it before sharing the result.
Step 04
Save, visualize, and share the output
Promote useful answers into widget dashboards, public shares, and reports with password or expiry controls when you need them.
Who it is for
Useful for the teams who need answers quickly, not another analytics project.
QueryCanvas is especially valuable when technical users still need control, but the business needs a simpler way to ask and share data-backed questions.
Operations teams
Answer day-to-day business questions, track performance, and keep recurring reports moving without waiting on a custom SQL request.
Founders and business leads
Get faster visibility into connected data across finance, product, and customer operations without living inside raw tables.
Analysts and technical operators
Reduce repetitive request work, give teammates a safer self-serve path, and keep query context closer to the business question.
Shared client and leadership reporting
Package important metrics into dashboards, share them publicly when needed, and tighten access with passwords or expiry dates.
FAQ
Questions teams ask before they put QueryCanvas into a real workflow.
The answers below are written to match what is visible on the site today, including data sources, AI-assisted querying, and the direct-query reporting model.
View the full FAQ pageStill need specifics? Contact the QueryCanvas team.
Final call to action
Make it easier for your team to query data and share answers.
Start with the free plan, validate the workflow on a real source, and expand into dashboards and recurring reports when the team is ready.