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What is DataSquares?

DataSquares is a business intelligence platform: you connect it to the places your data already lives, shape that data into models, and build dashboards and reports your whole team can view, filter, and export.

If you have used Power BI, Tableau, or Metabase, you will feel at home — and a few things will feel better.

DataSquares connects to 100+ databases, warehouses, files, and APIs through a guided connection wizard: classic databases (PostgreSQL, MySQL, SQL Server, and many more), cloud warehouses (Snowflake, BigQuery, Databricks, Redshift), file uploads (CSV, Excel), Google Sheets, and REST/JSON APIs. Credentials are encrypted at rest.

Combine tables into data models with relationships, add calculated fields, and define reusable measures with SquareX — DataSquares’ own measure language with context-aware calculations (think Calculate, time intelligence like year-to-date, and level-of-detail expressions). You can author measures visually with a template builder or write SquareX directly in a code editor — both edit the same underlying definition.

A drag-and-drop canvas with a rich set of chart types, filters, cross-filtering and drill-down, copy-paste and format painter, a layers pane, and precise numeric positioning. Dashboards support themes (built-in, custom, and workspace defaults — you can even import a Power BI theme file), small multiples, and per-breakpoint mobile layouts, and present full-screen when it’s time to show your numbers.

An AI chat assistant can answer questions against your connected data and an AI generator can draft a dashboard for you to refine.

Share dashboards with teammates, publish view-only share links, embed dashboards in other applications, schedule reports, and export to PDF, PPTX, and PNG with print-quality pagination.

Everything lives in workspaces with member roles and invitations. Single sign-on via OIDC and TOTP multi-factor authentication are supported, and admins control workspace settings such as the default theme.

  • Follow the Quickstart to build your first dashboard.
  • Read Core concepts for the object model — workspaces, sources, models, dashboards, and shares — in one page.