How is Quadratic different from a normal spreadsheet?

Quadratic is still a spreadsheet at heart — rows, columns, formulas — but AI cells can write Python, SQL or JavaScript directly, and connect to live data sources, so one sheet handles analysis that normally spans three tools.

Can my team work in the same spreadsheet?

Yes. Teams collaborate in the same file in real time, and every change is auditable so you can trace who did what.

What kind of questions can the AI answer?

The interface shows suggestions such as forecasting revenue by product or investigating the cause of a dip, which the AI resolves by writing the code and charts for you.

How large a dataset can it handle?

The site advertises support for datasets up to 100 million rows in one sheet, including multi-gigabyte CSV and Parquet imports, positioning it as an option where Excel and Google Sheets stall.

Are there security certifications?

Both. Quadratic states it is SOC 2 and HIPAA certified, with details in its trust center.

What is Quadratic's monthly traffic and growth trend?

Quadratic currently receives 87.22K monthly visits, with a month-over-month traffic change of -19.55K (-18.3% growth rate). Its primary source market is United States (31% share), including 31.72K direct visits/mo and — organic search visits/mo.

Is Quadratic free? What is its pricing model?

Quadratic operates on a Freemium pricing model. Freemium. There is a free entry path for individuals getting started, with paid tiers for small teams and larger organisations that add collaborative and enterprise features. The company does not publish every price detail on the landing page, so check the live pricing page for current per-seat figures. Supported billing and checkout platforms include: not listed.

Quadratic — AI Tool Traffic (87.22K/mo), Pricing, API & Alternatives

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About Quadratic

Live data connections

CSV, Excel and PDF files plus live connections to Postgres, MySQL, Snowflake, BigQuery, SQL Server, Supabase and more flow into one sheet that refreshes from the source.

Natural-language analysis

Ask in ordinary language and the assistant writes the formulas, Python or SQL that answers the question — then leaves the code on the sheet so you can check it.

Python, SQL, formula and JavaScript cells

Write real Python, SQL, JavaScript and spreadsheet formulas in cells, which makes Quadratic far more capable than a formulas-only grid.

MCP and API access

Quadratic speaks the Model Context Protocol, so you can point Claude, Cursor, ChatGPT or another agent at your spreadsheet to read, write and verify work in it.

Big-data handling

On huge datasets, sorting, filtering and AI analysis stay responsive — the site cites 100 million rows in a single sheet, roughly a hundred times the Excel row limit.

Finance and analytics integrations

Connectors for QuickBooks, Google Analytics, Mixpanel and Plaid bring financials, product analytics and transactions into the same file.

Quadratic started as a fast, collaboration-first spreadsheet and is now marketed squarely as the AI spreadsheet. The grid is still familiar — cells, formulas, charts — but the surface underneath is a code environment: any cell can contain Python, SQL or JavaScript, and the AI assistant writes that code for you when you ask a question in plain English. Crucially, the generated code stays visible on the sheet, so an analysis is explainable rather than a black box. You can open the cell, read the logic, and change it.

The second half of the pitch is connectivity. Data arrives from CSVs, Excel workbooks, PDFs and live databases such as Postgres, MySQL, Snowflake, BigQuery, SQL Server, Supabase and Neon, with purpose-built connectors for QuickBooks, Google Analytics, Mixpanel and Plaid for personal finance. Everything lands in one spreadsheet that stays in sync, which removes the export-copy-paste cycle that plagues traditional analysis work. On scale, the company advertises datasets of up to 100 million rows in a single sheet.

Quadratic also fits into agent workflows. It implements the Model Context Protocol, so Claude, Cursor, ChatGPT or any MCP-enabled agent can read and write to a live spreadsheet while changes remain auditable and human-approved, and there is a REST API for triggering AI runs and reading or writing cells programmatically. Teams collaborate in real time inside the same file, and the company reports SOC 2 and HIPAA certification with 250,000+ users including data teams at large financial and logistics organisations.

High-Impact Use Cases for Quadratic

Traders and investors

Fast, auditable financial analysis

Pull market and position data through the API, then build dashboards that refresh themselves instead of rebuilding models each week.

Business intelligence and finance

Self-serve reporting on live databases

Connect warehouse tables and answer ad-hoc questions in natural language without waiting on an analyst queue.

Product and growth teams

Product analytics without exports

Analyse activation, retention and campaign performance by joining product analytics exports with revenue data in one sheet.

AI and engineering teams

Spreadsheet layer for AI agents

Give an MCP-enabled agent a live, verifiable spreadsheet to read and write in, with every change reviewed before it sticks.

Rank	AI Tool	Monthly Visits	MoM Growth	Direct traffic share	Pricing	Head-to-Head
●	Quadratic	87.22K	-18.3%	36% direct	Freemium	Current
1	Sourcetable — AI spreadsheet & data analyst	38.5K	+13.2%	34% direct	Freemium, Free Trial, Paid	vs Sourcetable — AI spreadsheet & data analyst
2	GPTExcel	120.86K	-14.8%	31% direct	Freemium	vs GPTExcel
3	Formula Bot (Better Analyst)	73.19K	-35.3%	41% direct	Freemium	vs Formula Bot (Better Analyst)
4	Mito AI	13.54K	-20.4%	40% direct	Freemium, Paid, Contact for Pricing	vs Mito AI
5	Hex	782.74K	+10.8%	79% direct	Freemium, Free Trial, Paid, Contact for Pricing, Free	vs Hex
6	Sequel	10.9K	-1.1%	40% direct	Freemium, Contact for Pricing	vs Sequel

Quadratic

Traffic history

Why Choose Quadratic

Watchouts & Trade-offs

Multi-Angle Perspectives

Traffic Acquisition Breakdown