Quadratic
Quadratic is the AI spreadsheet where AI writes Python, SQL, and formulas straight into cells connected to live databases.
Pick Quadratic when the analysis has to be verifiable and the data lives in a database rather than a CSV export. Live Postgres/QuickBooks/Plaid/GA4 connectors, a 100M-row ceiling, and code you can open and edit cover ground Excel and Sheets cannot reach. Skip it if your team wants point-and-click dashboards — reading Python is not optional here.
Verified 14h ago · liveness 83/100 · cite: rightaichoice.com/tools/quadratic
- Data analysts who want a spreadsheet front end for Python and SQL with live database connections
- Finance teams pulling live P&L, budgeting, and invoice data from QuickBooks instead of exporting CSVs
- Traders and investors building self-refreshing dashboards from Plaid balances and transactions
- Product and marketing managers blending Mixpanel and GA4 behavior data with revenue in one sheet
- Teams that want drag-and-drop ETL and point-and-click dashboards rather than reading AI-generated Python or SQL
- Organizations with production Excel workbooks that depend on VBA macros and full backward compatibility
- Offline-first users who don't need live database, financial, or analytics connections
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Quadratic if your team wants to click a dashboard builder rather than read the Python or SQL the AI writes into cells — the auditability is the whole product, and without it you are paying for code review you did not ask for.
Pro includes $20 in AI credits per month; going past that requires upgrading to Business, where on-demand credit purchase unlocks.
Quadratic prices between a spreadsheet seat and a BI seat: Pro at $18/user/mo billed annually is well under a typical BI license, and Business at $36/user/mo billed annually still undercuts most warehouse-native tools once you count the engineering time to stand up a dashboard. Free is genuinely usable for single-analyst evaluation. Teams large enough to need SSO or self-hosting move to Enterprise at custom pricing.
In short
Quadratic — Quadratic is the AI spreadsheet where AI writes Python, SQL, and formulas straight into cells connected to live databases. Best for Data analysts who want a spreadsheet front end for Python and SQL with live database connections, Finance teams pulling live P&L, budgeting, and invoice data from QuickBooks instead of exporting CSVs, Traders and investors building self-refreshing dashboards from Plaid balances and transactions. Free to start; paid plans from $18/user/mo.
No head-to-head comparison for Quadratic yet — the alternatives below are the closest matches we list.
What's new in Quadratic
Checked 8 days agoAcross the latest 5 updates: 1 feature update and 4 changelog entries.
Drive: Document Center renamed, in-app editors removed, Drive file picker and import collision prompt added
Document Center becomes Drive — one recency-ordered list of team and personal files for importing and chatting about documents rather than editing them in place. A Drive file picker replaces the OS dialog, and importing onto occupied cells now prompts Replace, Insert in empty spa
Document Center: upload, manage, and edit non-spreadsheet files
Uploaded PDFs, Word docs, images, and CSVs are stored in a new Documents page with preview, editing, and AI access. Search spans documents, and cells imported from documents show their source.
Data validations round-trip with Excel and Google Sheets
Data validations (list, number, checkbox, and others) now import and export with .xlsx and Google Sheets, including Excel-faithful operators. Google Sheets import also pulls validations and conditional formats.
Hide/unhide columns and rows
Excel-style hide and unhide for columns and rows via context menus, the command palette, and shortcuts. Hidden state round-trips with Excel and Google Sheets and supports undo/redo.
Shared AI chats
AI Analyst chat history is now file-scoped and collaborative, persisting on the server and visible to all file collaborators, with a live prompt queue featuring turn-taking and presence indicators.
What people actually say about Quadratic — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
86 mentions across 5 sources (Reddit, Hacker News, Product Hunt, Stack Overflow, Lemmy) · researched Jul 31, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +AI writes transparent Python/SQL code, keeping analysis auditable and editable.
- +Live data connectors for Postgres, Snowflake, BigQuery, and QuickBooks built in.
- +Supports Python, SQL, JavaScript, and formula cells in one grid.
- +Open-source availability excites developers looking to embed or customize.
- +SOC 2 and HIPAA certified, addressing enterprise security concerns.
- −Real-world performance and reliability not yet validated by extensive user reports.
- −Multiuser real-time collaboration appears missing or unconfirmed.
- −Integration list still growing — some users ask for more connectors.
- −Learning curve for non-programmers may be steeper than advertised.
- −Few in-depth reviews mean support and enterprise maturity are unknown.
- • Possible extra cost for advanced integrations like QuickBooks
- • Potential overage charges for scheduled tasks or API usage
Viability Score
How well maintained and how widely used is Quadratic? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Natural-language AI writes Python, SQL, JavaScript, formulas, and charts into the cell you asked from
- Open and edit any AI-generated cell to verify the logic, not a black-box answer
- Live database connectors: Postgres, MySQL, Snowflake, BigQuery, MariaDB, MS SQL, CockroachDB, Supabase, Neon
- QuickBooks connector pulls P&L, balance sheet, and invoice data with no CSV exports
- Plaid integration for balances, transactions, and cash flow from 12,000+ financial institutions
- Google Analytics (GA4) and Mixpanel connectors for marketing and product data
- Drive: one recency-ordered list of team and personal PDFs, Word docs, images, CSVs, and spreadsheets for import and chat
- Cells imported from documents retain a link back to their source file
- MCP (Model Context Protocol) support so Claude, Cursor, ChatGPT, or any MCP-enabled agent reads, writes, and verifies
- REST API to read/write cells and trigger AI runs from your own code
- Scheduled Tasks refresh data automatically without opening the file
- Shared file-scoped AI chat history with a live prompt queue and presence indicators
- Data validations (list, number, checkbox) round-trip with .xlsx and Google Sheets
- Hide/unhide rows and columns with Excel and Google Sheets round-trip plus undo/redo
- Handles up to 100 million rows per sheet with multi-GB CSV and Parquet imports
About Quadratic
Quadratic is a web-based spreadsheet where the grid itself runs code. Ask a question in plain English and the AI writes Python, SQL, JavaScript, or a formula into the cell you asked from. Nothing hides in a chat pane — open any cell, read the logic, edit it, and watch it recalculate. That auditability is the point, and it's why data analysts, finance teams, and traders cluster around it rather than casual spreadsheet users. Quadratic says 250,000+ people use it, and it is SOC 2 and HIPAA certified. The 2026 releases pushed it toward a work platform. Drive, renamed from Document Center in September 2026, stores uploaded PDFs, Word docs, images, CSVs, and spreadsheets in one recency-ordered list for importing and chatting about documents, and cells imported from a file keep a link back to their source. Shared AI chats now persist on the server, scoped to the file and visible to every collaborator, with a live prompt queue showing turn-taking and presence. Data validations and hidden rows and columns round-trip with .xlsx and Google Sheets. Big data stays in-grid: sorting, filtering, and AI analysis at 100 million rows, plus multi-GB CSV and Parquet imports. The connective tissue is what separates it from a smarter Excel. Quadratic speaks the Model Context Protocol, so Claude, Cursor, ChatGPT, or any MCP-enabled agent can read, write, and verify work in a live sheet, with each cell change left for you to approve. A REST API sits beside it for triggering AI runs or reading and writing cells from your own code, and Scheduled Tasks keep refreshes running when nobody has the file open. Connectors cover Postgres, MySQL, Snowflake, BigQuery, MariaDB, MS SQL, CockroachDB, Supabase, and Neon, plus QuickBooks for P&L and invoices, Plaid for balances and transactions across 12,000+ institutions, and Google Analytics and Mixpanel. Against Excel you trade VBA macros for readable code and real database connections. Against a notebook you give up the Python ecosystem but gain a
Behind the Verdict
The honest pitch for Quadratic is not "AI does your spreadsheet." It's that the AI's output is inspectable. Ask for a churn breakdown and you get a Python cell you can read, fix, and rerun, not a paragraph of prose you have to trust. For anyone who has been burned by a hallucinated number in a board deck, that distinction is the whole purchase decision. We'd reach for it when the source of truth is a warehouse, not a file. Postgres, Snowflake, BigQuery, Supabase, Neon, and the rest connect live, so the sheet stops being a snapshot the moment you export it. Finance teams get the same benefit from the QuickBooks connector — P&L, balance sheet, and invoices refresh in place instead of arriving as a CSV with a date in the filename. Plaid adds balances and transactions from 12,000+ institutions, which makes self-updating net-worth and cash-flow dashboards realistic for solo operators, not just treasury desks. MCP support is the sleeper feature. Point Claude, Cursor, or ChatGPT at a live sheet and it can read, write, and verify work, with each change waiting on your approval. Set that against a standard BI stack and it's a different shape of tool: the agent works where the data already sits, and the diff is the audit trail. Where it bites: if you'd rather drag boxes than read a DataFrame, this is friction, not speed. Teams with production workbooks full of VBA macros lose backward compatibility, and there's no offline mode to fall back on. The 100M-row claim is real but comes with the usual caveat that a sheet that large is a query engine wearing a grid costume. Pricing is the easy part. Free covers getting started with limited AI usage and limited sharing. Pro at $18/user/month billed annually (10% off monthly) adds $20 in AI credits per month, extra model access, and
Researching Quadratic? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Quadratic actually fits — and what changes day-one when you adopt it.
Connect QuickBooks for P&L and Plaid for cash balances, prompt the AI to build a monthly close sheet, and schedule a daily refresh.
Outcome: The close sheet updates itself overnight; the analyst reviews the Python logic in each cell instead of re-exporting CSVs and pasting them.
Point Quadratic at Snowflake, ask for a region-by-revenue breakdown in plain English, and let AI write the SQL into a cell.
Outcome: A verifiable query lives next to the result; a teammate can open the cell, read the SQL, change the date range, and see the numbers update.
Connect Mixpanel and GA4, prompt for a funnel by cohort, and share the file with a collaborator via the file-scoped AI chat history.
Outcome: Both collaborators see the same prompt history, the same cells, and the same live results, without exporting to a deck.
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.
- Use Agent Sync to link external APIs and keep analysis up to date automatically.
- Build a custom Mixpanel dashboard in 10 prompts.
Models Under the Hood
as of 2026-10-16
Limitations
- The Free (Personal) tier caps AI usage, sharing, files, and connections, so it is an evaluation tier rather than a production one.
- AI credits gate additional model access, and on-demand credit purchase is Business-tier only, so heavy AI users on Pro have a ceiling.
- There is a learning curve for non-technical users because the product expects you to read Python or SQL.
- The vendor's pricing page and docs demonstrate a web app plus an API; no native mobile or desktop app is shown in the evidence.
as of 2026-09-30
Verification history
We have re-verified Quadratic 20 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 20 verification passes.
Free to cite with attribution — this page re-verifies continuously.
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.
Free
$0/mo
Ideal for
A single analyst evaluating whether code-based spreadsheets fit their workflow, with no need to share files or connect many sources.
What this tier adds
Free entry point: limited AI usage, limited sharing, files, and connections, and limited support.
Pro
$18/user/mo billed annually
Ideal for
A small team of analysts or a finance function that needs shared files, live connections, and a real AI allowance without SSO overhead.
What this tier adds
Adds $20 in AI credits per month, access to additional models, additional privacy controls, and unlimited sharing, files, and connections.
Business
$36/user/mo billed annually
Ideal for
Larger teams running agent workflows or heavy prompt volume who will blow past the Pro AI credit allowance.
What this tier adds
Raises the included AI credits to $40 per month and unlocks on-demand credit purchase for higher team AI usage limits.
Enterprise
Custom
Ideal for
Regulated companies or large orgs that need SSO, self-hosting, and a named support contact rather than self-serve seats.
What this tier adds
Adds custom AI usage, Single Sign-On, a self-hosting option, and dedicated support on custom terms.
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 prices between a spreadsheet seat and a BI seat: Pro at $18/user/mo billed annually is well under a typical BI license, and Business at $36/user/mo billed annually still undercuts most warehouse-native tools once you count the engineering time to stand up a dashboard. Free is genuinely usable for single-analyst evaluation. Teams large enough to need SSO or self-hosting move to Enterprise at custom pricing.
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.
A single analyst connecting one Postgres or QuickBooks source and prompting a first query can be productive in roughly 15-30 minutes, most of which is OAuth and credentials. A team standing up multiple database connectors, Plaid, and Mixpanel plus scheduled refreshes should plan a day, with the bulk spent on credentials and on reviewing the first generated SQL. Non-technical users should budget
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 Quadratic's Google Sheets support, which pulls data validations and conditional formats, then reconnect formulas as AI prompts.
- →From Excel: upload .xlsx, and hidden rows/columns, data validations, and import collisions now round-trip Excel-faithfully.
- →From a Jupyter notebook: move the pandas logic into Python cells, keep the SQL as SQL cells, and connect the database directly instead of loading from a CSV.
- →From a BI tool: replace static dashboards with live-connection sheets and let Scheduled Tasks handle the refresh instead of a nightly extract.
- ↗To Excel: export .xlsx — validations, hidden rows/columns, and print semantics carry through — but generated Python and SQL cells do not.
- ↗To Google Sheets: export .xlsx then import, or copy values directly; validations and conditional formats survive, code cells do not.
- ↗To a Jupyter notebook: copy the AI-generated Python out of cells into the notebook; you keep the logic but lose the grid and live connectors.
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
Tutorials & Learning
YouTube returned 6 videos for “Quadratic”, and we withheld 6: 6 could not be judged, because “Quadratic” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Quadratic.
Official links
Tools that pair well with Quadratic
Common stack mates teams adopt alongside Quadratic, with the specific reason each pairing earns its keep.
GPTExcel
AI spreadsheet assistant that turns Excel and CSV uploads into formulas, pivot tables, charts and slide decks.
ModelMonkey
ModelMonkey is an AI spreadsheet assistant that builds 3-statement models, DCFs, and formulas inside Google Sheets and Excel.
Text2SQL
Text2SQL.ai converts plain-English questions into dialect-correct SQL for 10+ databases, with a schema-aware assistant and a local-execution desktop app.
Alternatives to Quadratic
View all
GPTExcel
AI spreadsheet assistant that turns Excel and CSV uploads into formulas, pivot tables, charts and slide decks.
ModelMonkey
ModelMonkey is an AI spreadsheet assistant that builds 3-statement models, DCFs, and formulas inside Google Sheets and Excel.
Frequently Asked Questions
Best-of guides
Used Quadratic? Help shape our editorial sentiment research.