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About
Quadratic is a next-generation AI spreadsheet designed to make data analysis fast, intuitive, and collaborative. Unlike traditional spreadsheet tools, Quadratic lets you ask natural language questions and receive transparent, auditable answers directly within the spreadsheet interface. Under the hood, the AI writes Python, SQL, and JavaScript cells to power your analysis, so you can trust and inspect every step of the process. Users can connect directly to data sources including PostgreSQL, MySQL, Snowflake, Google Analytics, Mixpanel, and Plaid, or import files such as CSVs, Excel workbooks, and PDFs. Quadratic supports rich chart creation, exploratory data analysis, and scheduled tasks for recurring reporting workflows. The platform is trusted by over 200,000 users at top companies and universities. It is purpose-built for roles across Product Management, Sales, Marketing, Finance, and Business Intelligence—enabling anyone from data scientists to non-technical stakeholders to produce reliable insights. Teams can collaborate in real time on a shared, auditable workspace, making analysis transparent and repeatable. Quadratic is SOC 2 and HIPAA certified, making it suitable for enterprise use cases involving sensitive data. Whether you're doing exploratory data analysis, combining data from multiple sources, or building dashboards for your team, Quadratic removes the spreadsheet pain and replaces it with AI-powered clarity.
Key Features
- Natural Language Data Analysis: Ask questions in plain English to filter, sort, transform, and analyze your data without writing formulas.
- Python, SQL & JavaScript Code Cells: The AI writes executable Python, SQL, and JavaScript cells under the hood—every step is visible and editable for full transparency.
- Multi-Source Data Connections: Connect directly to PostgreSQL, MySQL, Snowflake, Google Analytics, Mixpanel, Plaid, and more, or import CSVs, Excel files, and PDFs.
- Charts & Visualizations: Create custom charts and dashboards—including advanced Plotly visualizations—directly within the spreadsheet interface.
- Collaboration & Scheduled Tasks: Share auditable analysis with teammates and automate recurring reports with scheduled task support.
Use Cases
- A product manager connects Quadratic to their analytics database and asks plain-English questions to identify user drop-off patterns without writing SQL.
- A finance team automates weekly market analysis reports using scheduled tasks and Python cells that pull live data from connected sources.
- A data scientist combines data from multiple databases and CSV exports into a single auditable spreadsheet analysis to identify anomalies or inconsistencies.
- A marketing analyst tracks SEO and campaign performance by connecting Google Analytics directly to Quadratic and generating charts with a single prompt.
- A business intelligence team shares interactive, code-backed spreadsheet dashboards with stakeholders who can audit every step of the analysis.
Pros
- Transparent, Auditable AI: Unlike black-box BI tools, every AI-generated analysis is exposed as editable code cells you can inspect and modify.
- Powerful Code Integration: Support for Python, SQL, and JavaScript enables advanced analysis well beyond what traditional spreadsheet formulas allow.
- Broad Data Connectivity: Native integrations with major databases and SaaS data sources mean no manual data exports or ETL pipelines needed.
- Enterprise-Grade Security: SOC 2 and HIPAA certification makes it appropriate for organizations handling sensitive or regulated data.
Cons
- Learning Curve for Non-Technical Users: While natural language queries are accessible, getting the most value from Python/SQL cells may require some technical knowledge.
- Web-Only Platform: Quadratic is browser-based, which may be a limitation for users who prefer a native desktop application or need offline access.
- Relatively New Ecosystem: As a newer tool, it lacks the decades of formula documentation, community plugins, and ecosystem integrations that Excel or Google Sheets have.
Frequently Asked Questions
What data sources can I connect to in Quadratic?
Quadratic supports direct connections to PostgreSQL, MySQL, Snowflake, Google Analytics, Mixpanel, Plaid, and more. You can also import CSVs, Excel files, and PDFs.
Do I need to know how to code to use Quadratic?
No. You can analyze data using plain English natural language questions. For advanced users, Quadratic also supports writing Python, SQL, and JavaScript directly in code cells.
Is Quadratic free to use?
Yes, Quadratic offers a free tier to get started. Paid plans are available for teams and enterprises that need more advanced features, collaboration, and security.
How does Quadratic ensure the AI analysis is trustworthy?
Quadratic is not a black box—the AI generates transparent code cells (Python, SQL, JavaScript) that you can open, read, edit, and verify at any time.
Is Quadratic suitable for enterprise use?
Yes. Quadratic is SOC 2 and HIPAA certified, making it suitable for enterprises with strict data security and compliance requirements. Enterprise plans include secure database access and powerful AI capabilities.
