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Software · head to head

DataRobot vs Weaviate

DataRobot logo

DataRobot

Software

Enterprise AI platform for automated machine learning

From
On request
Rated
-
Weaviate logo

Weaviate

Software

Open-source vector database

From
Free
Rated
-

The short version

  • Only Weaviate has a free tier, so it costs nothing to try first.
  • Each has a real cost: DataRobot model transparency is limited, often resembling a black box with limited explainability; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • They diverge on capability: DataRobot covers Automated ML, Weaviate covers Vector and keyword search.

Where they differ

Only the attributes on which DataRobot and Weaviate actually diverge.

Attributes where DataRobot and Weaviate differ
AttributeDataRobotWeaviate
Starting priceOn requestFree
Pricing modelsubscriptionfreemium
Free tierNoYes
PlatformsWebLinux, Mac, Windows, Web
Founded20122019

Identical on both: 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 DataRobot

  • Automated ML
  • Model deployment
  • Time series
  • MLOps
  • Model monitoring
  • Snowflake
  • Databricks
  • AWS

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.

DataRobot

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

Weaviate

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

Where each one falls short

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

DataRobot

  • Model transparency is limited, often resembling a black box with limited explainability
  • Requires integration with separate data manipulation tools for complex data transformation
  • Lacks native Python and R code customization for proprietary algorithms
  • Dependence on cloud connectivity means offline capabilities are not available
  • Uploading sensitive data to third-party servers raises data privacy and security concerns

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

DataRobot

On request
  • TrialFree
    • Limited access
    • Basic features
  • EnterpriseFree
    • Full platform
    • AutoML
    • MLOps

Weaviate

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

Which should you pick?

Choose DataRobot if

  • You need automated ml.
  • You also want model deployment.

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 DataRobot or Weaviate better?
Neither clearly leads. DataRobot starts at On request and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataRobot or Weaviate?
Weaviate has a free tier; the other does not. Paid plans start at On request for DataRobot and Free for Weaviate.
Does DataRobot or Weaviate run on more platforms?
DataRobot runs on Web. Weaviate runs on Linux, Mac, Windows, Web.
Can I use Weaviate for free?
Yes. Weaviate has a free tier, so you can try it without paying. DataRobot starts at On request.
What is DataRobot best used for?
DataRobot is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Weaviate is typically brought in for.
What can DataRobot do that Weaviate cannot?
DataRobot covers Automated ML, Model deployment, Time series, MLOps. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy. Both handle Web support.

Answered from the vendors’ own pages

DataRobot: Does DataRobot require data science expertise?

DataRobot automates much of the ML pipeline including data preparation, feature engineering, and model selection, making it more accessible to non-experts, though it is still an enterprise platform.

Source
DataRobot: What does DataRobot cost?

DataRobot uses custom enterprise pricing with typical starting costs around $2,500 per month for smaller organizations. For 10 users, monthly costs range from $15,000 to $20,000. Implementation and professional services are 20-40% of first-year contract value.

Source
DataRobot: Does DataRobot support generative AI?

Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.

Source
DataRobot: Can DataRobot handle unstructured data?

Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.

Source

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