Quadratic

Quadratic is an AI spreadsheet that combines a familiar grid with Python, SQL and AI so analysts and business teams can query live data and build repeatable reports in the browser. You ask a question in plain English, and the AI answers by writing real code or formulas into cells. Because every result is backed by an editable cell, you can see and fix the logic, which is the main difference from chat-only data tools.

What is Quadratic used for?

Quadratic is used for analysis that is too large or too technical for a normal spreadsheet but still benefits from a grid people understand.

• Asking plain-English questions about your data and getting formulas, code and charts in response
• Writing Python, SQL, JavaScript or formula cells side by side in one sheet
• Connecting directly to Postgres, MySQL, Snowflake and BigQuery instead of exporting CSV files
• Pulling data from QuickBooks, Google Analytics, Mixpanel or Plaid through built-in connectors
• Loading CSV, Excel and PDF files for cleanup and analysis
• Letting AI agents read and write cells through MCP, or building Quadratic into workflows with its API

Who Quadratic is best for

Quadratic suits data analysts, finance and FP&A teams, startup operators and engineers who need answers from databases without building a dashboard. It also helps teams that want shareable analyses others can audit. Users who only need simple budgets or lists will find a standard spreadsheet easier, and teams standardized on Excel files may need to adjust.

Quadratic pricing

As of October 2026, Quadratic's free Personal plan includes limited AI usage, files, sharing and connections. Pro costs $18 per user per month billed annually and includes $20 of AI credits each month, more models, extra privacy controls and unlimited sharing, files and connections. Business costs $36 per user per month billed annually with $40 of monthly AI credits and on-demand credit purchases. Enterprise is priced through sales and adds custom AI usage, single sign-on, a self-hosting option and dedicated support. The pricing page does not say which features are reserved for which plan beyond these, so confirm details with Quadratic if a specific connector matters.

Limitations to keep in mind

• Getting the most from it requires reading and adjusting Python or SQL that the AI writes
• Free plan sharing limits make it hard to evaluate as a team without upgrading
• It is a new environment, so existing Excel macros and add-ins do not carry over
• AI credits are capped per month, and heavy users may need to buy more

Quadratic vs alternatives

Julius AI is better for people who want to chat with their data and get charts without touching code. Deepnote and Hex are full data notebooks with stronger collaboration for data teams that write a lot of SQL and Python. Better Analyst focuses on dashboards and scheduled reports from connected sources. Quadratic wins when you want spreadsheet familiarity, live database connections and AI-generated code you can inspect, all in one file.

Tips for getting started with Quadratic

Connect one real data source first, such as a read-only database user, rather than uploading samples, so you can test useful questions. Ask the AI to explain any code cell it creates before relying on the result. Keep raw data, transformation cells and final charts in clearly separated areas of the sheet so others can follow it. Use a read-only database connection to avoid accidental writes.

Quadratic FAQ

Is Quadratic free?

Yes, Quadratic has a free Personal plan with limited AI usage and sharing. Pro costs $18 per user per month billed annually.

Can Quadratic run Python and SQL?

Yes. Quadratic lets you write Python, SQL, JavaScript and formula cells, and its AI can generate that code for you.

What databases does Quadratic connect to?

Quadratic connects to databases including Postgres, MySQL, Snowflake and BigQuery, plus apps such as QuickBooks, Google Analytics and Mixpanel.

What is the best alternative to Quadratic?

Julius AI is a strong alternative for code-free data chat, while Hex and Deepnote suit data teams that want full notebooks.