ReviewUpdated 2026-09-14

Quadratic Review 2026: AI Spreadsheet, Pricing, Python, and SQL

A research-based Quadratic review covering capabilities, pricing, privacy, limitations, alternatives, and a practical buyer test.

By DiscoverAI Editorial TeamReviewed by DiscoverAI Editorial Review2 min readWork & OperationsHow we evaluate
Paper-cut editorial concept showing a spreadsheet joining formulas, code, databases, charts, and visible verification checkpoints
Original DiscoverAI editorial illustration. A buyer should validate a spreadsheet joining formulas, code, databases, charts, and visible verification checkpoints with representative data, explicit failure cases, and complete cost measurement.

Bottom line

Quadratic is a collaborative AI spreadsheet that combines familiar cells and formulas with Python, JavaScript, SQL, database connections, charts, and natural-language analysis.

Editorial accountability

Who checked this guide

Meet the editorial team →
Evaluation type
Hands-on evaluation
Last materially checked
Evidence
4 listed sources

Hands-on testing is identified explicitly. Research-based coverage uses cited product documentation and other named sources; it does not imply every paid plan was used. Read the full methodology.

Editorial freshness

Checked this month

Pricing and material product claims were checked September 14, 2026.

Review evidence

What this guidance is based on

Review type
Research-based product assessment
Material review date
September 14, 2026
Evidence
Current first-party product, pricing, documentation, privacy, security, and terms material
Buyer test
Controlled quality, cost, privacy, reliability, and failure-path evaluation

Important limits

  • DiscoverAI did not complete the proposed long-term paid deployment for this review.
  • Features, prices, limits, security controls, and provider data paths can change; verify the linked first-party pages before purchase.
In this guide
  1. Short answer
  2. Best for
  3. Look elsewhere if
  4. What Quadratic verifiably does
  5. Important limitations
  6. Quadratic pricing
  7. Privacy and security questions
  8. A fair buyer test
  9. Final verdict

Short answer

Quadratic is compelling for analysts who want spreadsheet familiarity without leaving the grid for Python, JavaScript, SQL, database access, and AI help. It is not a drop-in guarantee of Excel compatibility, reproducible analysis, or correct generated formulas and code.

Best for

  • Data analysts working in spreadsheets
  • Teams combining SQL and Python with cells
  • Collaborative exploratory analysis

Look elsewhere if

  • Mission-critical Excel models without compatibility testing
  • Sensitive databases without credential controls
  • Users treating generated analysis as verified

What Quadratic verifiably does

Quadratic documents real-time collaborative spreadsheets, formulas, AI that can analyze data and write or debug code, native Python and JavaScript, SQL connections, database and API access, charts, Excel and Google Sheets import, shared AI chats, an API, and self-hosting options.

Important limitations

AI credits are finite and model-produced code can be wrong. Database connections and uploaded sheets may contain sensitive data. Browser and format compatibility, recalculation behavior, package availability, imports, exports, and collaborative edits must be tested against the buyer's actual workbooks.

Quadratic pricing

Personal is free with limited AI, sharing, files, and connections. Annual pricing lists Pro at $18 per user monthly with $20 in monthly AI credits and Business at $36 with $40 in credits; monthly billing is higher. Enterprise is custom with SSO, self-hosting, and dedicated support. Reviewed September 14, 2026.

Privacy and security questions

Before connecting real data, document which files, conversations, credentials, and systems the product and its model providers can access; who can view logs; how retention, deletion, regional processing, and model training work; and which actions require approval. Verify contract terms rather than inferring protection from a badge or feature name.

A fair buyer test

Import 30 representative workbooks and rebuild three recurring analyses using formulas, Python, SQL, and AI. Seed missing values, type errors, altered source schemas, malicious cell text, and contradictory totals. Compare outputs to known answers; measure compatibility, reproducibility, review time, connection security, collaboration conflicts, and credit cost.

Final verdict

Shortlist Quadratic for teams that want code and AI inside a collaborative spreadsheet. Keep source queries and generated code reviewable, reconcile decisive totals independently, restrict database credentials, and prove workbook compatibility before replacing an established spreadsheet stack.

This is a research-based product assessment, not a claim of hands-on long-term testing. Product, pricing, privacy, security, and usage claims were checked against the first-party sources below on September 14, 2026. Verify current terms and run the proposed test with approved data before adoption.

Reusable trial worksheet

Test Quadratic before you commit

Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.

0/7 checks complete
  1. Confirm the tool meets every must-have workflow and stakeholder requirement.

    Review starting point: Data analysts working in spreadsheets; Teams combining SQL and Python with cells; Collaborative exploratory analysis

  2. Run the same representative work you would use in production; do not score a polished demo.

    Review starting point: Import 30 representative workbooks and rebuild three recurring analyses using formulas, Python, SQL, and AI. Seed missing values, type errors, altered source schemas, malicious cell text, and contradictory totals. Compare outputs to known answers; measure compatibility, reproducibility, review time, connection security, collaboration conflicts, and credit cost.

  3. Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.

    Review starting point: Personal is free with limited AI, sharing, files, and connections. Annual pricing lists Pro at $18 per user monthly with $20 in monthly AI credits and Business at $36 with $40 in credits; monthly billing is higher. Enterprise is custom with SSO, self-hosting, and dedicated support. Reviewed September 14, 2026.

  4. Define an acceptance threshold, test known answers and edge cases, and record every correction.

    Review starting point: Editorial quality signals: features 4.2/5; AI quality 4.0/5. Validate these signals in your own work.

  5. Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.

    Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.

  6. Test the real handoffs, permissions, failure states, and export path your team depends on.

    Review starting point: PostgreSQL, MySQL, Microsoft SQL Server, Excel, Google Sheets, REST APIs

  7. Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.

    Review starting point: AI credits limit usage; Generated code and analysis require review; Compatibility must be proven workbook by workbook

Open Decision Workspace

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Community evidence

How verified users put Quadratic to work

Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.

No approved community evidence yet. Be the first verified user to contribute.

Sources and verification

Product details and claims were checked against the following primary sources.

Frequently asked questions

What is Quadratic?

Quadratic is a collaborative AI spreadsheet that combines familiar cells and formulas with Python, JavaScript, SQL, database connections, charts, and natural-language analysis.

How much does Quadratic cost?

Personal is free with limited AI, sharing, files, and connections. Annual pricing lists Pro at $18 per user monthly with $20 in monthly AI credits and Business at $36 with $40 in credits; monthly billing is higher. Enterprise is custom with SSO, self-hosting, and dedicated support. Reviewed September 14, 2026.

Who should use Quadratic?

Data analysts working in spreadsheets, Teams combining SQL and Python with cells, Collaborative exploratory analysis.

What should buyers test before choosing Quadratic?

Import 30 representative workbooks and rebuild three recurring analyses using formulas, Python, SQL, and AI. Seed missing values, type errors, altered source schemas, malicious cell text, and contradictory totals. Compare outputs to known answers; measure compatibility, reproducibility, review time, connection security, collaboration conflicts, and credit cost.

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