The decision
Should you choose Quadratic?
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.
Best for
Data analysts working in spreadsheets; Teams combining SQL and Python with cells.
Choose something else if
Mission-critical Excel models without compatibility testing; Sensitive databases without credential controls
Evidence
Editorial research pending · 8.2/10
Pricing checked
See current vendor pricing · Sep 14, 2026
Free access is available, with limits.
Yes. Personal is free with limited AI usage, sharing, files, connections, and support.
In this guide
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.
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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.
Transparency
How this guide was checked
Editorial accountability
Who checked this guide
- 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
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.
Standardized benchmark coverage
How this review maps to the research benchmark
Citation accuracy
Not applicableThe reviewed workflow does not produce source-grounded research answers, so a citation score would be misleading.
Read protocol v2026.10-v1 →Thematic analysis
Not applicableThe reviewed workflow is not qualitative evidence analysis, so a thematic-analysis score would be misleading.
Read protocol v2026.10-v1 →Eligibility is not a product score. DiscoverAI publishes results only after output collection, blinded adjudication, reproducibility checks, and severe-error review.
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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.
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
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.
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.
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.
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.
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
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
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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.
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Community choice
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Sources and references
References cited by this article. Check the original source for scope, dates and current terms.
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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