Quadratic review

Quadratic is a spreadsheet built for working with connected data, rather than a blank grid you have to fill by hand. It can bring data from databases, files, and business apps into one live workspace, where you can analyze it with formulas, Python, SQL, or JavaScript. The cells remain inspectable and editable, so AI-generated work is not presented as an untouchable answer.

You can ask questions in plain language and use AI to build analyses. Quadratic also supports MCP-enabled agents, including Claude, Cursor, and ChatGPT, to read and write spreadsheet cells. Its API can trigger AI runs and access cells from code.

The pitch is a single workspace for data, code, and AI-assisted analysis. That may suit teams whose spreadsheet work already involves querying data or writing scripts. It is less compelling if you mainly need a conventional sheet for basic tables and calculations.

Quadratic’s main advantage is that it puts data connections and analysis tools inside the spreadsheet, instead of making users move between a sheet, a database client, and a coding environment. The combination of natural-language prompts with editable cells also gives teams a way to inspect and change the resulting work.

• Multiple ways to analyze data: Use formulas, Python, SQL, or JavaScript in cells. That gives technical users more room than a formula-only workflow, while natural-language prompts offer another way to start an analysis.
• Connected data: Quadratic supports connections to databases, files, and business apps. The product description calls these live data connections, though it does not name specific supported services in the published material.
• Large files and sheets: Quadratic’s homepage says one sheet can hold 100 million rows and that it imports multi-GB CSV and Parquet files. Those are useful claims for teams that regularly hit spreadsheet size limits; check whether your own workflow fits the supported formats and connections.
• Agent and code access: MCP support lets compatible agents read and write cells, while the Quadratic API can trigger AI runs and read or write cells from code.

These features make Quadratic most interesting when a spreadsheet is already part of a data workflow, not just a place to store numbers.

Price is the clearest reason to check the details before switching. The pricing page lists Pro at $20 per user per month, or $18 per user per month when billed annually. Business is $40 monthly or $36 annually. Pro includes $20 in AI credits per month; Business includes $40, with additional credits available on demand. The page does not say how many AI runs those credit amounts cover, so budget impact may depend on usage.

A free plan is listed, but its price and allowances are not published on the vendor's site. Personal lists limited AI usage, sharing, files, connections, and support, but its price is also not published. Enterprise pricing is custom. Pro and Business seats are billed per user, and new members are prorated for the current billing period.

That makes total cost harder to estimate for teams with many collaborators or heavier AI use. The published pricing details also do not specify connection-by-connection compatibility, so confirm that your databases and business apps are supported before moving a workflow. Quadratic’s flexibility is useful, but it does not remove the need to check plan limits and fit.

Quadratic lists a free Personal plan, but its limits are not published on the vendor's site. AI usage, sharing, files, connections, and support are all described as limited, so “free” does not tell you whether it covers a real workflow.

Pro costs $20 per user/month on monthly billing or $18 with annual billing. It includes $20 in monthly AI credits, additional models, privacy controls, and unlimited sharing, files, and connections. Business costs $40 monthly or $36 annually: double the per-seat price and AI credits, with on-demand extra credits and everything in Pro. The pricing details list 10% savings for annual billing. New Pro and Business members are prorated for the current billing period.

The Pro-to-Business jump is $20 more per seat monthly, or $18 with annual billing, for more AI capacity—not higher connection limits. Extra Business credit pricing is not published. Check expected AI use before moving a team onto paid seats.

Quadratic may suit teams moving connected data work into a spreadsheet: it connects to databases, files, and business apps, and supports Python, SQL, JavaScript, and formulas in cells. The homepage says it can import multi-GB CSV and Parquet files. But the published details do not describe a migration wizard, formula conversion, spreadsheet compatibility, or export formats. Test representative files, formulas, scripts, and connections before moving a core workflow.

MCP agents and the Quadratic API can read and write cells; the API can also trigger AI runs. Those options may help preserve programmatic workflows, but they do not establish that every integration or process will transfer intact. The published materials do not say how to export data or extract a workspace if you leave, so confirm that before committing.

No Reddit posts or comments were published for this review, so we can’t verify what tends to make users leave. The visible pressure points are per-user fees, unpublished Personal limits, and AI credits.