Machine Learning · head to head
ClearML vs DataCamp

ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; DataCamp free tier limited to first chapter of every course only
- They diverge on capability: ClearML covers Experiment tracking, DataCamp covers Interactive courses.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which ClearML and DataCamp actually diverge.
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 DataCamp
- Interactive courses
- Hands-on projects
- Skill assessments
- Career tracks
- Certifications
- Workspace
- Mobile app
- Practice mode
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 DataCamp
- Moving training from laptops to shared GPU hardware without repackagingnot DataCamp
- Versioning datasets alongside the experiments that consumed themnot DataCamp
DataCamp
- Interactive data science and AI education with 790+ coursesnot ClearML
- Career-track learning (36-44 hours) for role-specific competencynot ClearML
- Team upskilling with admin dashboards and learning activity trackingnot ClearML
- Hands-on projects, certifications, and industry-recognised credentialsnot 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
DataCamp
- Free tier limited to first chapter of every course only
- Premium plan requires annual billing with no monthly option
- Teams plan requires minimum 2+ users with annual upfront billing
- Free tier excludes access to 790+ courses and skill assessments
Pricing, plan by plan
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
DataCamp
Free- BasicFree
- First chapter of every course
- All cheat sheets and tutorials
- Mobile learning
- Premium$28/month
- 790+ courses
- Projects
- Certificates
- Teams$28/month_per_user
- Everything in Premium
- Admin dashboard
- License management
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.
Choose DataCamp if
- You need interactive courses.
- You want to start without paying.
- You work on Web, Mobile.
- You also want hands-on projects.
Questions people ask
- Is ClearML or DataCamp better?
- Neither clearly leads. ClearML starts at Free and DataCamp at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClearML or DataCamp?
- ClearML starts at Free and DataCamp at Free.
- Does ClearML or DataCamp run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. DataCamp runs on Web, Mobile.
- 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 DataCamp is typically brought in for.
- What can ClearML do that DataCamp cannot?
- ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. DataCamp covers Interactive courses, Hands-on projects, Skill assessments, Career tracks.
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.
DataCamp: What does DataCamp's free plan include?
DataCamp Basic is free and includes access to the first chapter of every course, all cheat sheets, tutorials, mobile learning, live code-alongs, competitions, a professional profile, and skill assessments.
SourceClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
DataCamp: How much does DataCamp Premium cost annually?
Premium costs $28 per month when billed annually, and DataCamp advertises savings of $90 with yearly billing compared to monthly rates. Premium unlocks 790+ courses, projects, certificates, and priority support.
SourceClearML: 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.
DataCamp: Does DataCamp offer team or multi-user pricing?
Yes, DataCamp Teams is available for teams of 2 and up at $28 per user per month billed annually. It includes admin dashboard, license management, team performance reports, and SSO options (Google or Microsoft).
SourceDataCamp: What currencies does DataCamp accept?
DataCamp pricing is available in USD, GBP, CAD, AUD, EUR, BRL, MXN, and INR, allowing customers to pay in their local currency.
SourceRelated pages
Other head to heads
- ClearML vs MLflow
- ClearML vs Weights & Biases
- ClearML vs Comet ML
- ClearML vs Neptune.ai
- ClearML vs Dataiku
- ClearML vs Pachyderm
- ClearML vs Azure Machine Learning
- ClearML vs Domino Data Lab
- ClearML vs DVC
- ClearML vs AWS SageMaker
- ClearML vs Google Vertex AI
- ClearML vs DataRobot
- ClearML vs Pinecone
- ClearML vs Python
- ClearML vs PyTorch
- ClearML vs scikit-learn
- ClearML vs Apache Spark MLlib
- ClearML vs Weaviate
- ClearML vs Codecademy
- ClearML vs Miro Education
- ClearML vs Khan Academy
- ClearML vs Pluralsight
- ClearML vs Babbel
- ClearML vs Rosetta Stone
- ClearML vs Articulate 360
- ClearML vs Labster
- ClearML vs Wooclap
- ClearML vs Blackboard
- ClearML vs 360Learning
- ClearML vs Gimkit
- ClearML vs Elevate
- ClearML vs Infinite Campus
- ClearML vs Jackrabbit Class
- ClearML vs Memrise
- ClearML vs Pl@ntNet
- DataCamp vs MLflow
- DataCamp vs Weights & Biases
- DataCamp vs Comet ML
- DataCamp vs Neptune.ai
- DataCamp vs Dataiku
- DataCamp vs Pachyderm
- DataCamp vs Azure Machine Learning
- DataCamp vs Domino Data Lab
- DataCamp vs DVC
- DataCamp vs AWS SageMaker
- DataCamp vs Google Vertex AI
- DataCamp vs DataRobot
- DataCamp vs Pinecone
- DataCamp vs Python
- DataCamp vs PyTorch
- DataCamp vs scikit-learn
- DataCamp vs Apache Spark MLlib
- DataCamp vs Weaviate
- DataCamp vs Codecademy
- DataCamp vs Miro Education
- DataCamp vs Khan Academy
- DataCamp vs Pluralsight
- DataCamp vs Babbel
- DataCamp vs Rosetta Stone
- DataCamp vs Articulate 360
- DataCamp vs Labster
- DataCamp vs Wooclap
- DataCamp vs Blackboard
- DataCamp vs 360Learning
- DataCamp vs Gimkit
- DataCamp vs Elevate
- DataCamp vs Infinite Campus
- DataCamp vs Jackrabbit Class
- DataCamp vs Memrise
- DataCamp vs Pl@ntNet

