Quadratic Overview
This Quadratic review looks at the AI-powered spreadsheet that wants to replace the CSV-to-Python round trip for data teams in 2026. Quadratic keeps the familiar grid everyone knows, then puts real Python, SQL, and JavaScript directly inside cells — with an AI assistant that writes the code for you. The pitch is simple: analyze like a data scientist without leaving the spreadsheet.
What is Quadratic?
Quadratic is a browser-based spreadsheet built for technical data work. Cells can hold formulas, Python code, or SQL queries, and everything runs in the grid — including Plotly charts rendered from code. Unlike Excel or Google Sheets, which bolt AI onto a formula engine, Quadratic was designed around code from the start: the AI assistant generates Python or SQL from natural-language prompts, and the generated code stays visible and editable in the cell.
Connectivity is the other half of the story. Quadratic connects live to Postgres, MySQL, Snowflake, and other databases plus APIs, so analysis runs against current data instead of stale CSV exports. Multiplayer collaboration lets teams work in the same sheet in real time, and files can be embedded in Notion or any site that accepts iframes.
The open-source core on GitHub gives Quadratic credibility with engineering-led teams: you can inspect the code, and the company ships publicly. For regulated industries, the Enterprise plan adds SSO and a self-hosting option with SOC 2 and HIPAA compliance posture.
How Quadratic Works
You start with a blank grid or import a CSV, Excel file, or database connection. Type a question in plain English — “show monthly revenue by region as a bar chart” — and the AI assistant writes the Python or SQL, drops it into a code cell, and renders the result. Because the code is right there in the sheet, you can read it, tweak it, and learn from it instead of trusting a black box.
Analysts who already code can skip the AI and write directly: pandas dataframes, SQL queries against connected databases, and custom Plotly visualizations all live in cells that reference each other like normal spreadsheet formulas. Version history and sharing work like a modern doc — publish a link, embed the sheet, or keep it private to the team.
Pricing starts with a free Personal plan with limited AI usage and sharing. Pro is $18 per user per month billed annually (or $20 month-to-month) and includes $20 of AI credits monthly, unlimited sharing, files, and connections. Business at $36 per user per month billed annually doubles the AI credits to $40 and adds on-demand credit purchases. Enterprise is custom with SSO, self-hosting, and dedicated support.
Who Should Use Quadratic?
Quadratic fits data analysts, analytics engineers, and product teams that live between spreadsheets and code — people who currently export CSVs from a database, analyze in Python, then paste charts into slides. If your team asks natural-language questions of data all day, the AI code generation genuinely saves hours.
It is overkill for basic budgeting or list-keeping — Google Sheets is free and simpler for that. Non-technical users who never touch code may find the code cells intimidating despite the AI help, and teams that need heavyweight BI governance (certified datasets, semantic layers) will still want a dedicated BI platform.
Our Verdict on Quadratic
Quadratic earns a 4.5 in this Quadratic review: the most credible AI spreadsheet for technical teams in 2026. The code transparency — every AI answer is editable Python or SQL — is the killer feature, and the free Personal plan makes it easy to try.
The main caveat is the credit-metered AI on paid plans: heavy AI users should watch consumption. But for teams doing real analysis, it replaces a fragile chain of exports and scripts with one live grid.
Explore more options in our AI Data & Analytics category.
Key Features
- Python, SQL, and JavaScript code cells inside a familiar spreadsheet grid
- AI assistant that generates editable Python and SQL from natural language
- Live connections to Postgres, MySQL, Snowflake, APIs, and CSV/Excel imports
- Plotly charts and visualizations rendered from code cells
- Code transparency — every AI action shows its work for audit and learning
- Real-time multiplayer collaboration with link sharing and embeds
- Self-hosting option with SSO on the Enterprise plan
Quadratic Pricing
| Plan | Price |
|---|---|
| Personal | $0 |
| Pro | $18/user/mo (annual) |
| Business | $36/user/mo (annual) |
| Enterprise | Custom |
Last updated on September 22, 2026 — always confirm on the official site.
Quadratic Pros & Cons
✓ Pros
- Combines spreadsheet familiarity with real programming power
- AI-generated code is editable and transparent, not a black box
- Live database connections eliminate CSV export/import drudgery
- Free Personal plan is genuinely useful for individuals
- Open-source core with active public development on GitHub
✕ Cons
- AI usage is credit-metered on paid plans, so heavy users must watch consumption
- Overkill for simple spreadsheet tasks — Google Sheets is free and simpler
- Code cells can intimidate non-technical users despite the AI help
- Smaller ecosystem than Excel or Google Sheets: fewer templates and add-ons
Quadratic FAQs
How much does Quadratic cost in 2026?
Is Quadratic free?
How does Quadratic's AI work?
Can Quadratic connect to my database?
What are the best Quadratic alternatives?
Best Quadratic Alternatives

Count
★★★★☆Count reviewed for 2026 — collaborative data canvases at $34/editor/mo. How the notebook-BI hybrid works, honest pros and cons, and who it's for.

Tellius
★★★★☆Tellius reviewed for 2026 — AI decision intelligence that finds the "why" behind your data with custom pricing. Honest features, verdict, and who it fits.

Deepnote
★★★★☆Deepnote reviewed for 2026 — collaborative data notebooks with a project-aware AI agent. Pricing from $39/editor/mo, honest pros and cons.

Airbyte
★★★★☆Airbyte reviewed for 2026 — open-source data integration with 600+ connectors. Cloud pricing from $20/mo, honest pros and cons.

