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Machine Learning · head to head

ClearML vs Mathesar

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Mathesar logo

Mathesar

Spreadsheets

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; 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: ClearML covers Experiment tracking, Mathesar covers Direct PostgreSQL editing.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which ClearML and Mathesar actually diverge.

Attributes where ClearML and Mathesar differ
AttributeClearMLMathesar
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersOpen source, no licence fee
PlatformsLinux, macOS, Windows, Docker, KubernetesWeb, Linux
CategoryMachine LearningSpreadsheets

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 ClearML

  • Experiment tracking
  • Remote execution
  • Data versioning
  • Pipelines

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.

ClearML

  • Tracking experiments across a team so results are reproduciblenot Mathesar
  • Moving training from laptops to shared GPU hardware without repackagingnot Mathesar
  • Versioning datasets alongside the experiments that consumed themnot Mathesar

Mathesar

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

Where each one falls short

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

ClearML

  • Broad scope means more to learn and more to run than a focused tracking tool
  • Self-hosting the server is real infrastructure — database, file storage and web server
  • Documentation quality is uneven across the newer parts of the platform
  • Smaller community than the most popular tracking tools, so fewer worked examples exist

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

ClearML

Free
  • Open sourceFree
    • Experiment tracking
    • Pipelines
    • Self-hosted server

Mathesar

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

Which should you pick?

Choose ClearML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes.
  • You also want remote execution.
ClearML review

Choose Mathesar if

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

Questions people ask

Is ClearML or Mathesar better?
Neither clearly leads. ClearML 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, ClearML or Mathesar?
ClearML starts at Free and Mathesar at Free.
Does ClearML or Mathesar run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Mathesar runs on Web, Linux.
Can I use ClearML for free?
Both have a free tier, so you can try either at no cost before committing.
What is ClearML best used for?
ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Mathesar is typically brought in for.
What can ClearML do that Mathesar cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Mathesar covers Direct PostgreSQL editing, PostgreSQL permissions, Schema editing, Data exploration.

Answered from the vendors’ own pages

ClearML: Is ClearML free?

The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.

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.

ClearML: How much code does tracking require?

Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.

Mathesar: How does it handle permissions?

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

ClearML: Does ClearML replace MLflow?

It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.

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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