# Cursor vs Quadratic

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. Quadratic records 87,216 monthly visits with -18.3% growth and Freemium pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [Quadratic](https://openaitools.app/tool/quadratic-multiplayer) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.quadratichq.com |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Spreadsheet, AI For Data Analytics, SQL Query Builder, AI Charting |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 23,297,751 | 87,216 |
| MoM Growth Rate | +8.4% | -18.3% |
| Primary Market | United States | United States |
| Direct Visits | 14,683,770 | 31,720 |
| Review Score | 4.7 | 4.5 |
| Saved Count | 29 | 3 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## Quadratic

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.

**Pricing & Plans:** 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.

- **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.

**Strengths:** The generated code stays in the sheet, so results are auditable instead of a black box.; Genuinely large datasets are workable where Excel and Google Sheets hit their limits.; Live database and SaaS connectors replace repetitive CSV export workflows.; MCP and API support make it usable as the data layer inside agent workflows.

**Limitations:** The feature surface is large — AI agents, code cells, MCP, API — so onboarding takes longer than a basic spreadsheet.; Code-based analysis assumes some comfort with Python, SQL or JavaScript concepts.; Heavier data sources and agent runs consume plan limits, which is worth monitoring at volume.; Teams standardised on Excel macros will need to rebuild some existing workbooks.

[Profile (Markdown)](https://openaitools.app/tool/quadratic-multiplayer.md)

## Frequently Asked Questions

### How do Cursor and Quadratic compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while Quadratic has 87,216. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; Quadratic has -18.3%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. Quadratic: Freemium. 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.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 7 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 8 | [Hex](https://openaitools.app/tool/hex-tech) | 782,737 | +10.8% | Freemium, Free Trial, Paid, Contact for Pricing, Free | An agentic analytics platform that turns questions into governed, trusted answers | [.md](https://openaitools.app/tool/hex-tech.md) |
| 9 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |
| 10 | [Julius AI](https://openaitools.app/tool/julius-ai) | 665,487 | +5% | Free Trial, Contact for Pricing | Chat with your data to get analysis, charts, reports, and slides | [.md](https://openaitools.app/tool/julius-ai.md) |

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Source: https://openaitools.app/compare/cursor-vs-quadratic-multiplayer

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