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Spreadsheets · head to head

Apache Superset vs Mathesar

Apache Superset logo

Apache Superset

Spreadsheets

Modern data exploration and visualization platform

From
Free
Rated
-
Mathesar logo

Mathesar

Spreadsheets

Spreadsheet style interface that edits an existing PostgreSQL database directly, with no schema of its own

From
Free
Rated
-

The short version

  • Each has a real cost: Apache Superset no commercial pricing; open-source project; Mathesar there is no hosted offering of any kind, so a team without someone who can run and secure a server cannot use it at all.
  • They diverge on capability: Apache Superset covers 40+ Visualizations, Mathesar covers Direct PostgreSQL editing.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Apache Superset and Mathesar actually diverge.

Attributes where Apache Superset and Mathesar differ
AttributeApache SupersetMathesar
Pricing modelopen-sourceOpen source, no licence fee
PlatformsWeb, Self-hosted, DockerWeb, Linux
Founded1999Unknown

Identical on both: starting price (Free), free tier (Yes), 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 Apache Superset

  • 40+ Visualizations
  • SQL IDE
  • Semantic Layer
  • Caching
  • Security
  • PostgreSQL
  • MySQL
  • Presto

Only in Mathesar

  • Direct PostgreSQL editing
  • PostgreSQL permissions
  • Schema editing
  • Data exploration
  • Relationship navigation
  • Import of tabular files
  • Self hosted only

What people use each for

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

Apache Superset

  • Self-service analyticsnot Mathesar
  • Data explorationnot Mathesar
  • Ad-hoc reportingnot Mathesar
  • Collaborative analysisnot Mathesar
  • Embedded analyticsnot Mathesar

Mathesar

  • A nonprofit or research group whose data is already in PostgreSQL and whose staff cannot write SQLnot Apache Superset
  • Giving analysts a safe editing interface governed by database roles that already existnot Apache Superset
  • Replacing a hand built Django or Rails admin screen that nobody wants to maintainnot Apache Superset
  • Editing production reference data where an export, edit and reimport cycle would risk losing concurrent changesnot Apache Superset

Where each one falls short

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

Apache Superset

  • No commercial pricing; open-source project
  • Commercial hosting available via Preset.io (separate vendor)

Mathesar

  • There is no hosted offering of any kind, so a team without someone who can run and secure a server cannot use it at all.
  • It works only with PostgreSQL, so a MySQL, SQL Server or SQLite estate is excluded outright.
  • There are no automations, no webhooks and effectively no integration catalogue, so it edits data and does nothing else.
  • Because it writes to the live database, a careless bulk edit or column type change is a production change with no staging step and no undo.
  • Development is grant and community funded rather than commercially funded, so roadmap pace and long term continuity carry a different risk profile from a venture backed vendor.

Pricing, plan by plan

Apache Superset

Free
  • Open SourceFree
    • Full Features
    • Self-hosted
    • Community Support

Mathesar

Free
  • Self hosted open sourceFree
    • No licence fee
    • No hosted option offered
    • Connects to your existing PostgreSQL database

Which should you pick?

Choose Apache Superset if

  • You need 40+ visualizations.
  • You want to start without paying.
  • You work on Web, Self-hosted, Docker.
  • You also want sql ide.

Choose Mathesar if

  • You need direct postgresql editing.
  • You want to start without paying.
  • You work on Web, Linux.
  • You also want postgresql permissions.

Questions people ask

Is Apache Superset or Mathesar better?
Neither clearly leads. Apache Superset starts at Free and Mathesar at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Superset or Mathesar?
Apache Superset starts at Free and Mathesar at Free.
Does Apache Superset or Mathesar run on more platforms?
Apache Superset runs on Web, Self-hosted, Docker. Mathesar runs on Web, Linux.
Can I use Apache Superset for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Superset best used for?
Apache Superset is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Mathesar is typically brought in for.
What can Apache Superset do that Mathesar cannot?
Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. Mathesar covers Direct PostgreSQL editing, PostgreSQL permissions, Schema editing, Data exploration.

Answered from the vendors’ own pages

Apache Superset: What does Apache Superset cost?

Apache Superset is open-source software available free under the Apache 2.0 license. There are no licensing costs, subscription fees, or per-seat charges for using Superset itself.

Source
Mathesar: Is there a cloud version?

No. Self hosting is the only option, and that is a deliberate project decision rather than a gap waiting to be filled.

Apache Superset: Is there a paid version of Apache Superset?

Apache Superset itself is free and open-source. Preset.io offers commercial Superset hosting with premium support, but this is a separate vendor service, not an official paid tier of Superset.

Source
Mathesar: How does it handle permissions?

Through PostgreSQL roles and privileges directly, so there is no second permission model to keep in step.

Mathesar: What is the row limit?

Whatever PostgreSQL can handle. Mathesar adds no storage layer of its own.

Mathesar: Does it support databases other than PostgreSQL?

No.

Mathesar: Can it replace Airtable?

Only for editing and exploring data. There are no automations, apps or integrations.

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