Softwr

Machine Learning · head to head

Weights & Biases vs Zilliz

Weights & Biases logo

Weights & Biases

Machine Learning

Developer tools for machine learning

From
Free
Rated
-
Full reviewWebsite
Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Weights & Biases pricing can be prohibitive for large teams without enterprise discounts; Zilliz pricing structure not publicly disclosed, requires sales contact
  • They diverge on capability: Weights & Biases covers Experiment tracking, Zilliz covers Vector indexing.

Where they differ

Only the attributes on which Weights & Biases and Zilliz actually diverge.

Attributes where Weights & Biases and Zilliz differ
AttributeWeights & BiasesZilliz
Pricing modelUnknowncontact-sales
PlatformsWeb, Python SDK, REST APICloud, Self-hosted
CategoryMachine LearningDatabases

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), founded (2017).

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 Weights & Biases

  • Experiment tracking
  • Dataset versioning
  • Model registry
  • Hyperparameter sweeps
  • Collaborative dashboards
  • PyTorch
  • TensorFlow
  • Keras

Only in Zilliz

  • Vector indexing
  • Distributed architecture
  • SQL interface
  • Tensor support
  • Real-time search
  • Cloud-native
  • Open-source compatible

What people use each for

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

Weights & Biases

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

Zilliz

  • Build retrieval-augmented generation (RAG) systemsnot Weights & Biases
  • Implement semantic search over documentsnot Weights & Biases
  • Create multimodal search with text and imagesnot Weights & Biases
  • Power recommendation engines with vector similaritynot Weights & Biases
  • Enable similarity search on user embeddingsnot Weights & Biases

Where each one falls short

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

Weights & Biases

  • Pricing can be prohibitive for large teams without enterprise discounts
  • Limited integrations compared to some competitors
  • Dashboard customization options limited on lower plans
  • Requires some setup and configuration knowledge

Zilliz

  • Pricing structure not publicly disclosed, requires sales contact
  • Operational complexity for self-hosted Milvus deployments
  • Learning curve for those unfamiliar with vector databases
  • Limited built-in analytics compared to some alternatives

Pricing, plan by plan

Weights & Biases

Free
  • FreeFree
    • 5 model seats
    • 5 GB storage
    • 1 GB/month Weave ingestion
  • Pro$60/month
    • 10 seats
    • 100 GB storage
    • Private projects
  • Teams$179/month
    • Team collaboration
    • Advanced analytics
    • Dedicated support

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Which should you pick?

Choose Weights & Biases if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Web, Python SDK, REST API.
  • You also want dataset versioning.
Weights & Biases review

Choose Zilliz if

  • You need vector indexing.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want distributed architecture.
Zilliz review

Questions people ask

Is Weights & Biases or Zilliz better?
Neither clearly leads. Weights & Biases starts at Free and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Weights & Biases or Zilliz?
Weights & Biases starts at Free and Zilliz at Free.
Does Weights & Biases or Zilliz run on more platforms?
Weights & Biases runs on Web, Python SDK, REST API. Zilliz runs on Cloud, Self-hosted.
Can I use Weights & Biases for free?
Both have a free tier, so you can try either at no cost before committing.
What is Weights & Biases best used for?
Weights & Biases is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Zilliz is typically brought in for.
What can Weights & Biases do that Zilliz cannot?
Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.

Answered from the vendors’ own pages

Weights & Biases: Does Weights & Biases have a free plan?

Yes. The Free tier includes 5 model seats, 5 GB storage, and 1 GB/month Weave ingestion. Academic users get unlimited tracked hours, 200 GB storage, and 100 seats at no cost.

Source
Zilliz: What is the difference between Milvus and Zilliz Cloud?

Milvus is the open-source vector database that you can self-host. Zilliz Cloud is the fully managed service built on Milvus that removes operational overhead and handles scaling automatically.

Source
Weights & Biases: What are the paid plans for Weights & Biases?

Pro starts at $60/month with 10 seats and 100 GB storage. Team plans start at $179/month. Enterprise pricing is custom.

Source
Zilliz: How many vectors can Zilliz handle?

Milvus and Zilliz Cloud can store and search billions of vectors through their distributed architecture that separates storage and compute layers.

Source
Weights & Biases: What machine learning features does W&B provide?

Weights & Biases captures hyperparameters, metrics, and model outputs automatically. Features include experiment tracking, interactive Reports for sharing findings, Artifacts for managing datasets and models, advanced hyperparameter sweeps, and model deployment tools.

Source
Zilliz: Is Milvus open-source?

Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.

Source
Zilliz: What pricing does Zilliz Cloud offer?

Zilliz Cloud pricing is not publicly listed and requires contacting their team to discuss your specific scale and use case requirements.

Source
Share

Related pages

More on Weights & Biases

More on Zilliz

Keep looking

Other head to heads