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Software · head to head

DVC vs Neptune.ai

DVC logo

DVC

Software

Data version control for machine learning projects

From
Free
Rated
-
Full reviewWebsite
Neptune.ai logo

Neptune.ai

Software

Metadata store for MLOps

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DVC dVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.; Neptune.ai free tier limited to 100 hours per month, exhausted quickly with serious ML work
  • They diverge on capability: DVC covers Data versioning, Neptune.ai covers Model registry.

Where they differ

Only the attributes on which DVC and Neptune.ai actually diverge.

Attributes where DVC and Neptune.ai differ
AttributeDVCNeptune.ai
Pricing modelopen-sourceUnknown
PlatformsLinux, Mac, WindowsWeb, Self-hosted
Founded20182017

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 DVC

  • Data versioning
  • Pipeline management
  • Remote storage
  • Git integration
  • Git
  • S3
  • Azure Blob
  • Google Cloud Storage

Only in Neptune.ai

  • Model registry
  • Metadata logging
  • Comparison views
  • Custom dashboards
  • PyTorch
  • TensorFlow
  • Keras
  • scikit-learn

Both cover

  • Experiment tracking
  • Linux support
  • Mac support
  • Windows support

What people use each for

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

DVC

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Neptune.ai

  • Machine learning
  • Data analysis
  • Model training
  • Predictive analytics

Both are used for machine learning, data analysis, model training, predictive analytics, on those jobs the choice comes down to price and fit rather than capability.

Where each one falls short

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

DVC

  • DVC is Apache 2.0 licensed open source with no enterprise tier or paid support offering documented in the project itself; teams needing SLA-backed support get nothing from the DVC project directly.

Neptune.ai

  • Free tier limited to 100 hours per month, exhausted quickly with serious ML work
  • Lacks hyperparameter sweeps compared to Weights and Biases
  • No pipeline orchestration or broader MLOps lifecycle management
  • Dashboard visualization limitations - automatic resizing affects visualization order and size
  • Cloud-based SaaS only (as of last available service) requires internet connectivity

Pricing, plan by plan

DVC

Free
  • Open SourceFree
    • Data versioning
    • Pipeline management
    • Experiment tracking
  • DVC StudioFree
    • Web UI
    • Team collaboration
    • Visualizations

Neptune.ai

Free

No published plan breakdown. See the Neptune.ai review.

Which should you pick?

Choose DVC if

  • You need data versioning.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want pipeline management.
DVC review

Choose Neptune.ai if

  • You need model registry.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want metadata logging.
Neptune.ai review

Questions people ask

Is DVC or Neptune.ai better?
Neither clearly leads. DVC starts at Free and Neptune.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DVC or Neptune.ai?
DVC starts at Free and Neptune.ai at Free.
Does DVC or Neptune.ai run on more platforms?
DVC runs on Linux, Mac, Windows. Neptune.ai runs on Web, Self-hosted.
Can I use DVC for free?
Both have a free tier, so you can try either at no cost before committing.
What is DVC best used for?
DVC is most often used for machine learning, data analysis, model training, predictive analytics.
What can DVC do that Neptune.ai cannot?
DVC covers Data versioning, Pipeline management, Remote storage, Git integration. Neptune.ai covers Model registry, Metadata logging, Comparison views, Custom dashboards. Both handle Experiment tracking, Linux support, Mac support, Windows support.

Answered from the vendors’ own pages

Neptune.ai: Does Neptune.ai support self-hosting?

Yes. Neptune can be self-hosted on a Kubernetes cluster with ClickHouse, MySQL, and Redis dependencies, allowing organizations to maintain full data control.

Source
Neptune.ai: What machine learning frameworks does Neptune integrate with?

Neptune integrates with PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, and Optuna for hyperparameter optimization.

Source
Neptune.ai: What is the cost for a team of 10 data scientists?

Neptune's Team plan costs $49 per user per month, resulting in $490/month for 10 users, comparable to Weights and Biases at $50/user.

Source
Neptune.ai: When is Neptune.ai shutting down?

Neptune.ai is shutting down its external SaaS service on March 5, 2026, following its acquisition by OpenAI in December 2025. Customers must export and migrate data before that date.

Source
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