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Machine Learning · head to head

ClearML vs Teable

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Teable logo

Teable

Spreadsheets

Spreadsheet interface over real PostgreSQL tables, so the data stays queryable by anything that speaks SQL

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; Teable the automation builder is far less capable than the established commercial alternatives, so multi step workflows usually end up in an external tool that must be paid for and maintained separately.
  • They diverge on capability: ClearML covers Experiment tracking, Teable covers PostgreSQL native storage.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which ClearML and Teable actually diverge.

Attributes where ClearML and Teable differ
AttributeClearMLTeable
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 Teable

  • PostgreSQL native storage
  • Multiple views
  • Linked records and rollups
  • Generated REST API
  • Real time collaboration
  • Self hosting via Docker
  • Field level permissions

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 Teable
  • Moving training from laptops to shared GPU hardware without repackagingnot Teable
  • Versioning datasets alongside the experiments that consumed themnot Teable

Teable

  • A team that has hit the record ceiling of a hosted spreadsheet database and does not want to move to raw SQLnot ClearML
  • Operational data that a business intelligence tool must also read directly, without an export or a sync jobnot ClearML
  • A regulated or data resident organisation that needs the underlying database inside its own infrastructurenot ClearML
  • An internal tool where a grid interface and a REST API over the same table are both requirednot 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

Teable

  • The automation builder is far less capable than the established commercial alternatives, so multi step workflows usually end up in an external tool that must be paid for and maintained separately.
  • Self hosting moves PostgreSQL backups, version upgrades, connection pooling and capacity planning onto your team, and the licence saving disappears if that time is costed honestly.
  • The integration catalogue is small, so connecting to a common business system often means writing against the REST API rather than installing a connector.
  • The project is young relative to the products it replaces, and interface and API changes still arrive at a pace that requires reading release notes before upgrading.
  • Storing every table as a real PostgreSQL table means schema changes are real migrations, so a careless field type change on a large table can lock it far longer than a spreadsheet user would expect.

Pricing, plan by plan

ClearML

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

Teable

Free
  • Self hosted open sourceFree
    • No licence fee
    • Unlimited rows subject to your PostgreSQL capacity
    • Docker deployment

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 Teable if

  • You need postgresql native storage.
  • You want to start without paying.
  • You work on Web, Linux.
  • You also want multiple views.
Teable review

Questions people ask

Is ClearML or Teable better?
Neither clearly leads. ClearML starts at Free and Teable at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Teable?
ClearML starts at Free and Teable at Free.
Does ClearML or Teable run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Teable 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 Teable is typically brought in for.
What can ClearML do that Teable cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Teable covers PostgreSQL native storage, Multiple views, Linked records and rollups, Generated REST API.

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.

Teable: How many rows can it actually hold?

As many as your PostgreSQL instance can serve. There is no product imposed record limit on the self hosted edition, which is the main reason to choose it.

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.

Teable: Can I query the data with SQL directly?

Yes. Tables are real PostgreSQL tables, so any SQL client or reporting tool can read them.

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.

Teable: Is self hosting genuinely free?

The licence is. The database server, backups and the engineer maintaining them are not.

Teable: Does it replace Airtable feature for feature?

No. Views and field types are close; automations, apps and the integration catalogue are not.

Teable: What happens to my data if the project stops?

It remains in a standard PostgreSQL database that you control, which is a materially better exit than a proprietary export format.

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