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Machine Learning & Data Science · head to head

Domino Data Lab vs Weaviate

Domino Data Lab logo

Domino Data Lab

Machine Learning & Data Science

Enterprise MLOps platform

From
Free
Rated
-
Weaviate logo

Weaviate

Machine Learning & Data Science

Open-source vector database

From
Free
Rated
-

The short version

  • Each has a real cost: Domino Data Lab pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • They diverge on capability: Domino Data Lab covers Reproducible environments, Weaviate covers Vector and keyword search.

Where they differ

Only the attributes on which Domino Data Lab and Weaviate actually diverge.

Attributes where Domino Data Lab and Weaviate differ
AttributeDomino Data LabWeaviate
Pricing modelsubscriptionfreemium
PlatformsWebLinux, Mac, Windows, Web
Founded20132019

Identical on both: starting price (Free), free tier (Yes), 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 Domino Data Lab

  • Reproducible environments
  • Model registry
  • Model monitoring
  • Collaboration
  • Governance
  • AWS
  • Azure
  • GCP

Only in Weaviate

  • Vector and keyword search
  • Built-in vectorizers
  • GraphQL API
  • Multi-tenancy
  • Hybrid search
  • OpenAI
  • Hugging Face
  • Cohere

Both cover

  • Web support

What people use each for

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

Domino Data Lab

  • Running reproducible data science workspaces and experiments on shared computenot Weaviate
  • Deploying and monitoring models with governance controlsnot Weaviate
  • Giving regulated enterprises a self managed MLOps platformnot Weaviate

Weaviate

  • Running a vector database for semantic and hybrid searchnot Domino Data Lab
  • Generating and storing embeddings alongside the objects they describenot Domino Data Lab

Where each one falls short

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

Domino Data Lab

  • Pricing is by quote only: the pricing page publishes no rate and no minimum, and the tier breakdown is behind a downloadable datasheet form
  • Licensing is split by user type, with separate data science professional, data analyst, service account and admin licences
  • FinOps, Nexus and Governance are paid add on modules rather than part of the platform
  • Support level is a separate priced choice
  • Self managed VPC or on premises deployment requires the Premium tier or higher
  • No free trial is offered on the pricing page

Weaviate

  • The free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
  • Premium is a prepaid contract starting at $400 a month rather than pay as you go
  • Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
  • The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond

Pricing, plan by plan

Domino Data Lab

Free
  • TrialFree
    • 14-day trial
    • Full features
  • EnterpriseFree
    • Full platform
    • Enterprise support
    • SLA

Weaviate

Free
  • Open SourceFree
    • Full features
    • Self-hosted
  • ServerlessFree
    • Managed service
    • Auto-scaling

Which should you pick?

Choose Domino Data Lab if

  • You need reproducible environments.
  • You want to start without paying.
  • You also want model registry.

Choose Weaviate if

  • You need vector and keyword search.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want built-in vectorizers.

Questions people ask

Is Domino Data Lab or Weaviate better?
Neither clearly leads. Domino Data Lab starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Domino Data Lab or Weaviate?
Domino Data Lab starts at Free and Weaviate at Free.
Does Domino Data Lab or Weaviate run on more platforms?
Domino Data Lab runs on Web. Weaviate runs on Linux, Mac, Windows, Web.
Can I use Domino Data Lab for free?
Both have a free tier, so you can try either at no cost before committing.
What is Domino Data Lab best used for?
Domino Data Lab is most often used for running reproducible data science workspaces and experiments on shared compute, deploying and monitoring models with governance controls, giving regulated enterprises a self managed mlops platform. Of those, running reproducible data science workspaces and experiments on shared compute and deploying and monitoring models with governance controls are not what Weaviate is typically brought in for.
What can Domino Data Lab do that Weaviate cannot?
Domino Data Lab covers Reproducible environments, Model registry, Model monitoring, Collaboration. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy. Both handle Web support.

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