Machine Learning · head to head
Neptune.ai vs Weaviate
The short version
- Each has a real cost: Neptune.ai free tier limited to 100 hours per month, exhausted quickly with serious ML work; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- They diverge on capability: Neptune.ai covers Experiment tracking, Weaviate covers Vector and keyword search.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Neptune.ai and Weaviate actually diverge.
| Attribute | Neptune.ai | Weaviate |
|---|---|---|
| Pricing model | Unknown | freemium |
| Platforms | Web, Self-hosted | Linux, Mac, Windows, Web |
| Founded | 2017 | 2019 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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 Neptune.ai
- Experiment tracking
- Model registry
- Metadata logging
- Comparison views
- Custom dashboards
- PyTorch
- TensorFlow
- Keras
Only in Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
Both cover
- Web support
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
Neptune.ai
- Machine learningnot Weaviate
- Data analysisnot Weaviate
- Model trainingnot Weaviate
- Predictive analyticsnot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Neptune.ai
- Generating and storing embeddings alongside the objects they describenot Neptune.ai
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Neptune.ai
- Free tier limited to 100 hours per month, exhausted quickly with serious ML work
- Lacks hyperparameter sweeps compared to Weights and Biases
- No pipeline orchestration or broader MLOps lifecycle management
- Dashboard visualization limitations - automatic resizing affects visualization order and size
- Cloud-based SaaS only (as of last available service) requires internet connectivity
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
Neptune.ai
FreeNo published plan breakdown. See the Neptune.ai review.
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
Which should you pick?
Choose Neptune.ai if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Self-hosted.
- 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 Neptune.ai or Weaviate better?
- Neither clearly leads. Neptune.ai 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, Neptune.ai or Weaviate?
- Neptune.ai starts at Free and Weaviate at Free.
- Does Neptune.ai or Weaviate run on more platforms?
- Neptune.ai runs on Web, Self-hosted. Weaviate runs on Linux, Mac, Windows, Web.
- Can I use Neptune.ai for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Neptune.ai best used for?
- Neptune.ai 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 Neptune.ai do that Weaviate cannot?
- Neptune.ai covers Experiment tracking, Model registry, Metadata logging, Comparison views. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy. Both handle Web support, Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
Neptune.ai: Does Neptune.ai support self-hosting?
Yes. Neptune can be self-hosted on a Kubernetes cluster with ClickHouse, MySQL, and Redis dependencies, allowing organizations to maintain full data control.
SourceWeaviate: What pricing options does Weaviate offer?
Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.
SourceNeptune.ai: What machine learning frameworks does Neptune integrate with?
Neptune integrates with PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, and Optuna for hyperparameter optimization.
SourceWeaviate: Does Weaviate offer customer support?
Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.
SourceNeptune.ai: What is the cost for a team of 10 data scientists?
Neptune's Team plan costs $49 per user per month, resulting in $490/month for 10 users, comparable to Weights and Biases at $50/user.
SourceWeaviate: Can I deploy Weaviate on my own infrastructure?
Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.
SourceNeptune.ai: When is Neptune.ai shutting down?
Neptune.ai is shutting down its external SaaS service on March 5, 2026, following its acquisition by OpenAI in December 2025. Customers must export and migrate data before that date.
SourceWeaviate: What data security features does Weaviate provide?
Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.
SourceWeaviate: How do I get started with Weaviate?
Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.
SourceRelated pages
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