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Spreadsheets · head to head

Coefficient vs Quadratic

Coefficient logo

Coefficient

Spreadsheets

Live two way connector between Google Sheets or Excel and warehouses, CRMs and business systems

From
On request
Rated
-
Full reviewWebsite
Quadratic logo

Quadratic

Spreadsheets

Infinite-canvas spreadsheet that runs Python, SQL and formulas in the same grid

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Quadratic has a free tier, so it costs nothing to try first.
  • Each has a real cost: Coefficient google Sheets is capped at ten million cells per spreadsheet, so a wide dataset exhausts the sheet in the low hundreds of thousands of rows no matter how much data the source holds.; Quadratic aI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
  • They diverge on capability: Coefficient covers Scheduled refresh, Quadratic covers Multi-language cells.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Coefficient and Quadratic actually diverge.

Attributes where Coefficient and Quadratic differ
AttributeCoefficientQuadratic
Starting priceOn requestFree
Pricing modelquotePer user per month
Free tierNoYes
PlatformsWeb, Windows, macOSWeb, macOS, Windows, Linux

Identical on both: user rating (Not yet rated), category (Spreadsheets).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Coefficient

  • Scheduled refresh
  • Two way write back
  • Warehouse and SQL sources
  • Formula based imports
  • Alerts
  • Snapshots
  • Works in Sheets and Excel

Only in Quadratic

  • Multi-language cells
  • Infinite canvas
  • Direct database connections
  • AI agent in the sheet
  • WebAssembly engine
  • Python package support

What people use each for

The jobs each tool is most often brought in to do.

Coefficient

  • A weekly revenue report rebuilt by hand from a Salesforce export that nobody wants to keep rebuildingnot Quadratic
  • Finance models that must reconcile against warehouse data without waiting on the analytics teamnot Quadratic
  • Bulk correcting Salesforce records in a spreadsheet and writing the corrections back in one operationnot Quadratic
  • Alerting a Slack channel when a pipeline or inventory figure in a shared sheet crosses a thresholdnot Quadratic

Quadratic

  • An analyst who wants a SQL result, a Python transformation and a set of manual assumptions visible in one file instead of three toolsnot Coefficient
  • Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot Coefficient
  • Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot Coefficient
  • Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot Coefficient

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Coefficient

  • Google Sheets is capped at ten million cells per spreadsheet, so a wide dataset exhausts the sheet in the low hundreds of thousands of rows no matter how much data the source holds.
  • Write back from a spreadsheet into a system of record bypasses the validation and audit trail that system was given, which many data governance teams will refuse outright.
  • Pricing is not published, so it cannot be compared against alternatives without a sales conversation, and per seat costs across a whole revenue operations team add up quickly.
  • Every refresh runs a query against the source, so an aggressive schedule across many sheets consumes warehouse credits or Salesforce API calls that are billed elsewhere and easily overlooked.
  • It keeps analysis inside spreadsheets, which entrenches the sprawl of untracked business logic that a business intelligence tool or a semantic layer would have consolidated.

Quadratic

  • AI usage is metered as a dollar allowance rather than a flat entitlement, so a team that adopts the agent enthusiastically will exhaust 20 USD per user per month quickly and the true cost per seat becomes unpredictable.
  • Self-hosting is available only on the Enterprise plan, so an organisation that cannot send data to the vendor cloud has to enter a sales negotiation rather than run a container.
  • Excel and Google Sheets compatibility is partial, so files with heavy conditional formatting, pivot tables or macros do not survive a round trip and have to be rebuilt.
  • The product is young and the connector list is short, covering the main relational databases and two warehouses, so anything else has to be reached through Python code you write and maintain yourself.
  • There is no real mobile editing experience, which matters more than it sounds for a spreadsheet because approvals and quick checks routinely happen on a phone.

Pricing, plan by plan

Coefficient

On request
  • Coefficient$undefined/year
    • Live connectors for Google Sheets and Microsoft Excel
    • Scheduled refresh and snapshots
    • Two way write back to supported systems

Quadratic

Free
  • PersonalFree
    • Limited AI usage
    • Limited files and connections
    • Limited sharing
  • Pro$18/month
    • Billed annually
    • 20 USD of AI credits per month
    • Unlimited files
  • Business$36/month
    • Billed annually
    • 40 USD of AI credits per month
    • Advanced permissions
  • Enterprise$undefined/year
    • Quoted
    • Self-hosting option
    • Custom AI usage

Which should you pick?

Choose Coefficient if

  • You need scheduled refresh.
  • You work on Web, Windows, macOS.
  • You also want two way write back.
Coefficient review

Choose Quadratic if

  • You need multi-language cells.
  • You want to start without paying.
  • You work on Web, macOS, Windows, Linux.
  • You also want infinite canvas.
Quadratic review

Questions people ask

Is Coefficient or Quadratic better?
Neither clearly leads. Coefficient starts at On request and Quadratic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Coefficient or Quadratic?
Quadratic has a free tier; the other does not. Paid plans start at On request for Coefficient and Free for Quadratic.
Does Coefficient or Quadratic run on more platforms?
Coefficient runs on Web, Windows, macOS. Quadratic runs on Web, macOS, Windows, Linux.
Can I use Quadratic for free?
Yes. Quadratic has a free tier, so you can try it without paying. Coefficient starts at On request.
What is Coefficient best used for?
Coefficient is most often used for a weekly revenue report rebuilt by hand from a salesforce export that nobody wants to keep rebuilding, finance models that must reconcile against warehouse data without waiting on the analytics team, bulk correcting salesforce records in a spreadsheet and writing the corrections back in one operation, alerting a slack channel when a pipeline or inventory figure in a shared sheet crosses a threshold. Of those, a weekly revenue report rebuilt by hand from a salesforce export that nobody wants to keep rebuilding and finance models that must reconcile against warehouse data without waiting on the analytics team are not what Quadratic is typically brought in for.
What can Coefficient do that Quadratic cannot?
Coefficient covers Scheduled refresh, Two way write back, Warehouse and SQL sources, Formula based imports. Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet.

Answered from the vendors’ own pages

Coefficient: How much data can I actually pull in?

Google Sheets allows ten million cells per spreadsheet in total. Divide by your column count for the real row limit.

Quadratic: Do I need to know Python to use it?

No, formulas work on their own, but the reason to choose Quadratic over Google Sheets is the code cells, so a team with no Python will not get the value.

Coefficient: Does it write data back?

Yes, to supported systems such as Salesforce. Confirm with your data governance team before enabling it.

Quadratic: What happens when the AI credits run out?

Prompting stops until the next monthly reset or until you move up a plan; the spreadsheet itself keeps working normally.

Coefficient: Is there a free tier?

Pricing is not published in a form that can be quoted reliably. Ask the vendor before budgeting.

Quadratic: Can it replace a BI tool?

Not for scheduled distribution or governed metrics. It is for exploratory work by one person or a small team, not for dashboards a hundred people read.

Coefficient: Does it work in Excel?

Yes, across both Google Sheets and Microsoft Excel with the same connectors.

Quadratic: Is my database query sent to the vendor?

Connections run through the vendor service on all plans except Enterprise self-hosting, which is the option to take if that is unacceptable.

Coefficient: What is the hidden cost?

Warehouse query credits and source API calls consumed by scheduled refreshes, which are billed by those vendors and not by Coefficient.

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