Quadratic
AI-native spreadsheet that writes Python/SQL for live data analysis.
Quadratic is the best choice for analysts who code — it brings live data into an AI-powered spreadsheet with transparent Python/SQL. But if you hate writing code or need offline-only sheets, stick with Google Sheets or Excel.
- Traders and investors needing live financial dashboards with Plaid and QuickBooks
- Finance teams performing budget analysis and P&L reporting with live data
- Data scientists who want a spreadsheet interface with Python and SQL cells
- Product managers analyzing user data from Mixpanel and Google Analytics
- Casual users who only need basic formulas and no coding
- Teams requiring offline-only spreadsheet with no live data needs
- Users who prefer no-code drag-and-drop ETL over writing Python
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Skip Quadratic if you never want to see code in a spreadsheet or need offline-only sheets.
Pro and Business plans require annual billing to get the listed per-user price; monthly is 10% higher.
Quadratic's Pro at $18/user/mo (annual) is competitive for live-data spreadsheets; Google Sheets lacks native DB/API connectors, and Airtable's comparable tier is more expensive for similar integration depth. Business at $36/user/mo with metered AI suits data-heavy teams.
In short
Quadratic — AI-native spreadsheet that writes Python/SQL for live data analysis. Best for Traders and investors needing live financial dashboards with Plaid and QuickBooks, Finance teams performing budget analysis and P&L reporting with live data, Data scientists who want a spreadsheet interface with Python and SQL cells. Free to start; paid plans from $18/mo.
What's new in Quadratic
Checked 12 days agoAcross the latest 10 updates: 7 feature updates, 1 pricing change and 2 changelog entries.
Build a Connected Spreadsheet with Agent Sync
Agent Sync lets you link apps, APIs, and live business data directly into your spreadsheet.
Folders, Google Sheets import, MCP, and a refreshed Quadratic
April release: folders, Google Sheets import, MCP, team secrets, stock data, onboarding improvements, and branding refresh.
QuickBooks, images, embeds, and smarter AI
March release: QuickBooks connection, images in spreadsheets, embeddable files, Recipes, AI upgrades, and billing controls.
Introducing QuickBooks for Quadratic
QuickBooks integration for importing financial data into Quadratic spreadsheets.
Conditional formatting, STOCKHISTORY, and a new Business plan
February release: conditional formatting, merged cells, STOCKHISTORY function, Business plan, Agent mode, and Plaid connection.
Build a custom Mixpanel dashboard in 10 prompts
Tutorial on creating Mixpanel dashboards using Quadratic's AI prompts.
Introducing the Google Analytics (GA4) connection
GA4 native connection to pull analytics data directly into spreadsheets.
Google Analytics, rich text, and a smoother start
January release: Google Analytics connection, rich text/hyperlinks in cells, onboarding improvements, and synced connections.
How to automate spreadsheet updates with Scheduled Tasks
Introducing Scheduled Tasks for automated data refresh in Quadratic.
Introducing the Plaid integration in Quadratic
Plaid integration for importing financial account data.
Viability Score
How likely is Quadratic to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Natural language AI writes Python, SQL, formulas, charts
- Live data connectors: Postgres, MySQL, Snowflake, BigQuery, QuickBooks, Plaid
- MCP support for AI agents (Claude, Cursor, ChatGPT)
- API for reading/writing cells and triggering AI runs
- Import CSV, Excel, PDF, Google Sheets
- Scheduled tasks for automated data refresh
- Conditional formatting and merged cells
- STOCKHISTORY function for financial data
- Images and embeds in spreadsheets
- AI-generated code with explanations that are editable
- Collaborative sharing with repeatable insights
- Folders for organizing files
- Python, SQL, JavaScript, and formula cells
- Agent Sync to link apps and APIs into spreadsheets
- SOC 2 and HIPAA certified
About Quadratic
Quadratic is an AI-native spreadsheet that unifies live data sources — databases like Postgres, Snowflake, BigQuery; financial tools QuickBooks and Plaid; analytics platforms GA4 and Mixpanel — into one sheet. You ask questions in plain English, and the AI writes transparent, editable Python, SQL, formulas, and charts. Recent additions include Agent Sync for linking apps and APIs, Google Sheets import, MCP support for AI agents (Claude, Cursor, ChatGPT), Scheduled Tasks for automated refreshes, and native connections for QuickBooks, Plaid, and GA4. Quadratic supports Python, SQL, JavaScript, and formula cells, with features like conditional formatting, merged cells, images, embeds, and a STOCKHISTORY function for financial data. It is SOC 2 and HIPAA certified, designed for traders, finance teams, data scientists, and product managers who need auditable, code-enriched analysis without leaving a spreadsheet. Unlike black-box AI tools, Quadratic's code cells are open and editable, giving you full visibility into the analysis.
Behind the Verdict
Quadratic fills a specific, underserved niche: the analyst who wants a spreadsheet interface but needs real code power for serious data work. Its AI-generated Python and SQL are not black boxes — you can see, edit, and trust every line. That's a huge differentiator from tools that give you a result without explanation. Recent additions like QuickBooks, Plaid, GA4 connectors, and MCP support for AI agents make it a live data hub, not just a calculator. The pricing is fair: $18/user/month (annual) for Pro with 20 AI credits, and $36 for Business with doubled credits. On-demand AI for overages is available in Business. The free tier is somewhat limited in AI usage and sharing, but fine for a trial. Where Quadratic falls short: it's not a replacement for Excel macros or VBA; it's browser-based, so offline use is limited; and heavy no-code users might find the Python/SQL requirement daunting. Competitors like Airtable and Coda are more no-code, but Quadratic beats them for raw analytical depth with live data and code transparency. We'd reach for this when building financial dashboards, database-connected reports, or any analysis that needs to be both repeatable and auditable. Pass if you only need simple formulas or if your team is allergic to code.
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Real-world workflow fit
Concrete scenarios for the personas Quadratic actually fits — and what changes day-one when you adopt it.
Pull P&L from QuickBooks and transactions from Plaid into one sheet to build a real-time budget vs actuals report.
Outcome: The sheet updates automatically on each refresh, eliminating manual CSV exports and giving leadership live visibility.
Use AI to write a Python script that cleans and joins data from Snowflake and a CSV export, with inline explanations.
Outcome: You get a reproducible, auditable pipeline in minutes without leaving the spreadsheet.
Connect Mixpanel and GA4, then ask AI to create a user engagement dashboard segmented by region.
Outcome: The AI generates the SQL and charts; you share the sheet with stakeholders for self-service drill-down.
Use Cases
- Connect QuickBooks and Plaid to build automated financial dashboards with live data.
- Write SQL queries directly in cells to analyze Snowflake or BigQuery data without leaving the spreadsheet.
- Use the AI assistant to generate Python code for complex data transformations and explain it inline.
- Create a Mixpanel product usage report by prompting the AI to query your event schema.
- Schedule daily refreshes of CSV or database-imported data to keep reports current.
- Extract text and tables from PDF invoices using AI, then clean and analyze in the same sheet.
Models Under the Hood
as of 2026-07-06
Limitations
- Free tier limits AI usage, sharing, files, and connections.
- AI credits required for advanced model access.
- No native mobile or desktop apps — web only.
- On-demand AI usage is Business-tier only (not Pro).
- No offline mode.
- Steep learning curve for non-technical users.
as of 2026-06-29
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Quadratic tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Personal Free
$0/mo
Ideal for
Solo user or student exploring AI spreadsheets with minimal data source needs.
What this tier adds
Starting free tier with limited AI usage, sharing, files, connections, and support.
Pro
$18/user/month, billed annually
Ideal for
Small teams or individual professionals who need unlimited sharing and more AI credits.
What this tier adds
Adds $20/mo AI credits, unlimited sharing/files/connections, additional privacy controls, and additional models.
Business
$36/user/month, billed annually
Ideal for
Teams with heavy AI usage that need on-demand AI and advanced features like team secrets.
What this tier adds
2x AI credits per month, on-demand AI usage (unmetered), and all Pro features.
Enterprise
Custom
Ideal for
Large organizations needing custom AI usage, SSO, self-hosting, and dedicated support.
What this tier adds
Custom AI usage, Single Sign-On, self-hosting option, and dedicated support.
Where the pricing makes sense
The company stage and team size where Quadratic's pricing actually pencils out — and where peers do it cheaper.
Quadratic's Pro at $18/user/mo (annual) is competitive for live-data spreadsheets; Google Sheets lacks native DB/API connectors, and Airtable's comparable tier is more expensive for similar integration depth. Business at $36/user/mo with metered AI suits data-heavy teams.
Setup time & first value
How long it actually takes to get something useful out of Quadratic — broken out by persona, not the marketing-page minute.
For a technical user with existing database credentials: under 5 minutes to connect a source and ask the first AI prompt. Non-technical users may need 15-30 minutes to learn the interface and understand AI-generated code.
Switching to or from Quadratic
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Google Sheets: Import via direct Google Sheets import (added Apr 2026) or export to CSV/Excel then upload.
- →From Excel: Upload .xlsx files directly; formulas and basic formatting carry over, but VBA macros won't work.
- →From Airtable: Export tables to CSV or use QuickBooks/API connections to replicate workflows.
- ↗To Google Sheets: Export Quadratic sheets as CSV or Excel (.xlsx) and import into Sheets.
- ↗To Excel: Export as .xlsx; Python/SQL cells are lost, but static data and formulas may transfer.
Integrations
Resources & Guides
- Resourcequadratichq.com
Build a Custom Mixpanel Dashboard in 10 Prompts
Build a Mixpanel dashboard in Quadratic using prompts. Create funnels, trends, retention, and weekly insights from your own event schema
- Resourcequadratichq.com
Introducing QuickBooks for Quadratic
Connect QuickBooks to Quadratic to build reports, dashboards, and financial analysis in a familiar spreadsheet interface.
- Resourcequadratichq.com
Introducing The Google Analytics Ga4 Connection
Helpful link from quadratichq.com
- Resourcequadratichq.com
Plaid Integration for Personal Finance
Connect Plaid to Quadratic to analyze your personal finance data in a live spreadsheet. Track spending, cash flow, & balances across accounts without manual exports.
- Resourcequadratichq.com
Image And Pdf Data Extraction In Quadratic
Helpful link from quadratichq.com
Official links
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Common stack mates teams adopt alongside Quadratic, with the specific reason each pairing earns its keep.
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