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Databases · head to head

MariaDB vs Quadratic

MariaDB logo

MariaDB

Databases

The open source relational database for the enterprise

From
Free
Rated
-
Quadratic logo

Quadratic

Spreadsheets

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

From
Free
Rated
-

The short version

  • Each has a real cost: MariaDB jSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions; 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: MariaDB covers MySQL Compatibility, Quadratic covers Multi-language cells.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which MariaDB and Quadratic actually diverge.

Attributes where MariaDB and Quadratic differ
AttributeMariaDBQuadratic
Pricing modelUnknownPer user per month
PlatformsLinux, Unix, Windows, macOSWeb, macOS, Windows, Linux
CategoryDatabasesSpreadsheets
Founded2009Unknown

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 MariaDB

  • MySQL Compatibility
  • Aria Storage Engine
  • ColumnStore
  • Galera Cluster
  • MaxScale
  • Spider Engine
  • Temporal Tables
  • phpMyAdmin

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.

MariaDB

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

Where each one falls short

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

MariaDB

  • JSON support using text fields rather than native binary type; lacks MySQL's JSON syntax and functions
  • Galera Cluster maximum performance limited to the slowest node in cluster
  • InnoDB tables limited to 1,017 columns and 64 secondary indexes
  • Transaction size limits in Galera (128K rows and 2GB by default)
  • Less strict SQL type checking than PostgreSQL; allows implicit conversions

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

MariaDB

Free

No published plan breakdown. See the MariaDB review.

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 MariaDB if

  • You need mysql compatibility.
  • You want to start without paying.
  • You work on Linux, Unix, Windows, macOS.
  • You also want aria storage engine.

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.

Questions people ask

Is MariaDB or Quadratic better?
Neither clearly leads. MariaDB starts at Free and Quadratic at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, MariaDB or Quadratic?
MariaDB starts at Free and Quadratic at Free.
Does MariaDB or Quadratic run on more platforms?
MariaDB runs on Linux, Unix, Windows, macOS. Quadratic runs on Web, macOS, Windows, Linux.
Can I use MariaDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is MariaDB best used for?
MariaDB is most often used for transaction processing, data storage, application backend, reporting. Of those, transaction processing and data storage are not what Quadratic is typically brought in for.
What can MariaDB do that Quadratic cannot?
MariaDB covers MySQL Compatibility, Aria Storage Engine, ColumnStore, Galera Cluster. Quadratic covers Multi-language cells, Infinite canvas, Direct database connections, AI agent in the sheet.

Answered from the vendors’ own pages

MariaDB: Is MariaDB completely free and open source?

Yes. MariaDB Server is licensed under GPLv2 and guaranteed to remain perpetually free and open source, independent of any commercial entities.

Source
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.

MariaDB: Is MariaDB backward compatible with MySQL?

Yes. MariaDB was designed as a drop-in replacement for MySQL. Every application, driver, and configuration that worked with MySQL works with MariaDB without code changes.

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.

MariaDB: What are the storage engine options in MariaDB?

MariaDB supports multiple storage engines including InnoDB (transactional, default), Aria (crash-safe, good for read-heavy workloads), and MyISAM. The Aria engine is faster than InnoDB for certain read-heavy queries and full table scans.

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.

MariaDB: How much does MariaDB cost?

MariaDB Community Server is completely free to download and use. MariaDB offers paid enterprise support and managed cloud services for organizations needing professional support.

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.

MariaDB: Does MariaDB support native JSON storage?

MariaDB stores JSON using text fields (the JSON type is an alias for LONGTEXT), not as a native binary type like MySQL does. JSON support exists but is less sophisticated than MySQL's JSON functions and syntax.

Source
MariaDB: What scaling options does MariaDB provide?

MariaDB supports both scaling up (more cores, memory, storage) and scaling out (read replication, Galera Cluster with multi-node replication). However, Galera Cluster performance cannot exceed the slowest node in the cluster.

Source
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