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Machine Learning · head to head

ClearML vs Valkey

ClearML logo

ClearML

Machine Learning

Open-source MLOps platform for experiment tracking and orchestration

From
Free
Rated
-
Full reviewWebsite
Valkey logo

Valkey

Databases

Open-source in-memory data store forked from Redis

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; Valkey younger project, so its track record is short even though the codebase is not
  • They diverge on capability: ClearML covers Experiment tracking, Valkey covers Redis-compatible.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which ClearML and Valkey actually diverge.

Attributes where ClearML and Valkey differ
AttributeClearMLValkey
Pricing modelOpen-source self-hosted, with paid hosted and enterprise tiersOpen source, no licence fee; managed cloud billed separately
PlatformsLinux, macOS, Windows, Docker, KubernetesLinux, macOS, Docker, Self-hosted
CategoryMachine LearningDatabases

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 Valkey

  • Redis-compatible
  • BSD licensed
  • Rich data structures
  • Replication and persistence

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

Valkey

  • Continuing on a permissively licensed in-memory store after the Redis licence changenot ClearML
  • Caching and session storage where a foundation-governed project is a procurement requirementnot ClearML
  • Migrating from Redis without rewriting application codenot 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

Valkey

  • Younger project, so its track record is short even though the codebase is not
  • Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
  • Ecosystem tooling and documentation still frequently assume Redis, leaving translation work

Pricing, plan by plan

ClearML

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

Valkey

Free
  • ValkeyFree
    • Full functionality
    • Self-hosted
    • No usage limits

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 Valkey if

  • You need redis-compatible.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want bsd licensed.
Valkey review

Questions people ask

Is ClearML or Valkey better?
Neither clearly leads. ClearML starts at Free and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, ClearML or Valkey?
ClearML starts at Free and Valkey at Free.
Does ClearML or Valkey run on more platforms?
ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Valkey runs on Linux, macOS, Docker, Self-hosted.
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 Valkey is typically brought in for.
What can ClearML do that Valkey cannot?
ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.

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.

Valkey: Is Valkey free?

Yes, BSD-licensed open source under the Linux Foundation.

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.

Valkey: Why does Valkey exist?

Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.

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.

Valkey: Can I switch from Redis to Valkey?

At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.

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