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Machine Learning & Data Science · head to head

DVC vs LangChain

DVC logo

DVC

Machine Learning & Data Science

Data version control for machine learning projects

From
Free
Rated
-
Full reviewWebsite
LangChain logo

LangChain

Machine Learning & Data Science

Build applications with LLMs through composability

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.; LangChain the free Developer plan of LangSmith is limited to 1 seat
  • They diverge on capability: DVC covers Data versioning, LangChain covers Chains and agents.

Where they differ

Only the attributes on which DVC and LangChain actually diverge.

Attributes where DVC and LangChain differ
AttributeDVCLangChain
Pricing modelopen-sourcefreemium
Founded20182022

Identical on both: starting price (Free), free tier (Yes), platforms (Linux, Mac, Windows), user rating (Not yet rated), category (Machine Learning & Data Science).

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 LangChain

  • Chains and agents
  • Retrieval-augmented generation
  • Memory management
  • Tool integration
  • Prompt templates
  • OpenAI
  • Anthropic
  • Hugging Face

Both cover

  • Linux support
  • Mac support
  • Windows support

What people use each for

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

DVC

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

LangChain

  • Building LLM applications and agents in Python or JavaScriptnot DVC
  • Tracing and debugging LLM chains and agent runsnot DVC
  • Evaluating prompt and model changes against datasetsnot DVC

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.

LangChain

  • The free Developer plan of LangSmith is limited to 1 seat
  • Base traces are retained for 14 days only; 400 day retention costs extra
  • Included traces are capped at 5,000 per month on Developer and 10,000 per month on Plus, with everything beyond billed pay as you go
  • Self hosted and hybrid deployment of LangSmith is Enterprise only
  • Custom SSO, RBAC and ABAC are Enterprise only
  • A support SLA is Enterprise only
  • Enterprise pricing is by quote with no published rate

Pricing, plan by plan

DVC

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

LangChain

Free
  • Open SourceFree
    • Full framework
    • Community support
  • LangSmith$39/month
    • Debugging
    • Monitoring
    • Testing

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 LangChain if

  • You need chains and agents.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want retrieval-augmented generation.
LangChain review

Questions people ask

Is DVC or LangChain better?
Neither clearly leads. DVC starts at Free and LangChain at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DVC or LangChain?
DVC starts at Free and LangChain at Free.
Does DVC or LangChain run on more platforms?
Both run on Linux, Mac, Windows, so platform support will not decide this one for you.
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 LangChain is typically brought in for.
What can DVC do that LangChain cannot?
DVC covers Data versioning, Pipeline management, Experiment tracking, Remote storage. LangChain covers Chains and agents, Retrieval-augmented generation, Memory management, Tool integration. Both handle Linux support, Mac support, Windows support.
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