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Spreadsheets · head to head

Quadratic vs SQLite

Quadratic logo

Quadratic

Spreadsheets

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

From
Free
Rated
-
SQLite logo

SQLite

Databases

Small, fast, self-contained SQL database engine

From
Free
Rated
-

The short version

  • Each has a real cost: 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.; SQLite supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
  • They diverge on capability: Quadratic covers Multi-language cells, SQLite covers Serverless Operation.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Quadratic and SQLite actually diverge.

Attributes where Quadratic and SQLite differ
AttributeQuadraticSQLite
Pricing modelPer user per monthopen-source
PlatformsWeb, macOS, Windows, LinuxLinux, macOS, Windows, iOS, Android
CategorySpreadsheetsDatabases
FoundedUnknown2000

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Quadratic

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

Only in SQLite

  • Serverless Operation
  • Zero Configuration
  • Single File Database
  • Cross-platform
  • Full SQL Support
  • ACID Compliance
  • Self-contained
  • Browser Storage

What people use each for

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

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 SQLite
  • Ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cellnot SQLite
  • Sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebooknot SQLite
  • Prototyping a data pull against a warehouse before committing it to a scheduled pipelinenot SQLite

SQLite

  • Transaction processingnot Quadratic
  • Data storagenot Quadratic
  • Application backendnot Quadratic
  • Reportingnot Quadratic
  • Data analyticsnot Quadratic

Where each one falls short

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

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.

SQLite

  • Supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
  • No multi-user support or granular access control; relies on file system permissions for security only
  • Limited ALTER TABLE functionality cannot edit or modify columns in existing tables

Pricing, plan by plan

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

SQLite

Free
  • Public DomainFree
    • Serverless
    • Zero-configuration
    • Cross-platform

Which should you pick?

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.

Choose SQLite if

  • You need serverless operation.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, iOS, Android.
  • You also want zero configuration.

Questions people ask

Is Quadratic or SQLite better?
Neither clearly leads. Quadratic starts at Free and SQLite at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Quadratic or SQLite?
Quadratic starts at Free and SQLite at Free.
Does Quadratic or SQLite run on more platforms?
Quadratic runs on Web, macOS, Windows, Linux. SQLite runs on Linux, macOS, Windows, iOS, Android.
Can I use Quadratic for free?
Both have a free tier, so you can try either at no cost before committing.
What is Quadratic best used for?
Quadratic is most often used for an analyst who wants a sql result, a python transformation and a set of manual assumptions visible in one file instead of three tools, ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cell, sharing a reproducible analysis with a colleague who will only ever open a spreadsheet, not a notebook, prototyping a data pull against a warehouse before committing it to a scheduled pipeline. Of those, an analyst who wants a sql result, a python transformation and a set of manual assumptions visible in one file instead of three tools and ad hoc modelling where part of the logic is genuinely code and part is a judgement call typed into a cell are not what SQLite is typically brought in for.
What can Quadratic do that SQLite cannot?
Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet. SQLite covers Serverless Operation, Zero Configuration, Single File Database, Cross-platform.

Answered from the vendors’ own pages

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.

SQLite: Is SQLite free and open source?

Yes, SQLite is open source and in the public domain. The complete source code and binaries are free to download and use for any purpose without restrictions.

Source
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.

SQLite: How does SQLite work and what is its design?

SQLite is a self-contained, serverless SQL database engine that reads and writes directly to disk files. It requires no separate server process and runs within your application, making it ideal for embedded systems and local storage.

Source
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.

SQLite: What are SQLite's limitations for scaling?

SQLite does not support true multi-user concurrency. Only one process can write to the database at a time, and it lacks user management and access control features. It is designed for small to medium projects, not enterprise applications with many concurrent users.

Source
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.

SQLite: Can I use SQLite for production web applications?

SQLite can work for single-server web applications with modest concurrency needs. However, it lacks features like user management, granular security, and sophisticated query optimization needed for large-scale applications.

Source
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