Canvas

Canvas is a data tool that's designed to help people understand their startup without needing to know how to program or write SQL. It lets you link, query and visualize data from more than 150 SaaS tools without needing to know how to program or write SQL. That means non-technical team members can use it to make data-informed decisions.

Canvas has a number of features to make data management and analysis easier:

• Annual Recurring Revenue (ARR): Use pre-built templates to track revenue, customer lifetime value and other important startup metrics.
• Connectors: Connect to many apps out of the box, and you can request custom connectors within 48 hours.
• Beautiful Dashboards: Build charts and tables with filters and multiple visualization options.
• Spreadsheets on Steroids: Manipulate data without SQL, using familiar Excel keyboard shortcuts and powerful pivot tables.
• Alerts: Get notifications when people sign up, make a purchase or reactivate their accounts.
• Fractional Data Team: Get data experts to build complex models and dashboards for you.
• Superpowers: Use a fast, feature-rich interface geared for power users.
• Best-in-Class Data Warehouse: Expand your data stack to billions of rows without worrying about performance.

Other features include CSV import and export, JSON parsing, mobile compatibility, secure sharing, a full-featured SQL editor and live collaboration. Canvas also integrates with other tools like dbt, and supports multi-user accounts with SSO and SAML for enterprise-level user provisioning.

Canvas pricing is tiered:

• Startup Plan: $1,000 per month, billed annually, with 10 million active rows and 5 connectors.
• Full-Stack Plan: $3,000 per month, billed annually, with 50 million active rows, unlimited connectors and a fractional data team for advanced data modeling.
• Enterprise: Custom pricing for large companies, with dedicated data analysts and support for all popular data warehouses and databases.

Canvas is designed to be easy to use, and to help both technical and non-technical teams get the most out of their data. That's useful for startups that want to expand their analytics without hiring a lot of technical staff.

Published on June 14, 2024