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Software · head to head

DVC vs TensorBoard

DVC logo

DVC

Software

Data version control for machine learning projects

From
Free
Rated
-
Full reviewWebsite
T

TensorBoard

Software

TensorFlow's visualization toolkit

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.; TensorBoard built and documented as a TensorFlow companion tool; the project's own site presents it as inspecting TensorFlow runs and graphs specifically, per tensorflow.org/tensorboard.

Where they differ

Only the attributes on which DVC and TensorBoard actually diverge.

Attributes where DVC and TensorBoard differ
AttributeDVCTensorBoard
PlatformsLinux, Mac, WindowsWeb
Founded2018Unknown

Identical on both: starting price (Free), pricing model (open-source), 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
  • Experiment tracking
  • Remote storage
  • Git integration
  • Git
  • S3
  • Azure Blob

Only in TensorBoard

Nothing recorded that DVC does not also cover.

What people use each for

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

DVC

  • Machine learningnot TensorBoard
  • Data analysisnot TensorBoard
  • Model trainingnot TensorBoard
  • Predictive analyticsnot TensorBoard

TensorBoard

No use cases recorded yet. See the TensorBoard review.

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.

TensorBoard

  • Built and documented as a TensorFlow companion tool; the project's own site presents it as inspecting TensorFlow runs and graphs specifically, per tensorflow.org/tensorboard.
  • Source is Apache-2.0 licensed on GitHub (github.com/tensorflow/tensorboard), so there is no vendor-hosted paid tier or support contract distinct from the open source project.

Pricing, plan by plan

DVC

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

TensorBoard

Free

No published plan breakdown. See the TensorBoard 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 TensorBoard if

  • You want to start without paying.
TensorBoard review

Questions people ask

Is DVC or TensorBoard better?
Neither clearly leads. DVC starts at Free and TensorBoard at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DVC or TensorBoard?
DVC starts at Free and TensorBoard at Free.
Does DVC or TensorBoard run on more platforms?
DVC runs on Linux, Mac, Windows. TensorBoard runs on Web.
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. Of those, machine learning and data analysis are not what TensorBoard is typically brought in for.
What can DVC do that TensorBoard cannot?
DVC covers Data versioning, Pipeline management, Experiment tracking, Remote storage.
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