Machine Learning · head to head
Neptune.ai vs Pinecone
The short version
- Each has a real cost: Neptune.ai free tier limited to 100 hours per month, exhausted quickly with serious ML work; Pinecone reads and writes are billed on separate meters, and reads are far more expensive, at $16 to $18 per million against $4 to $4.50 for writes on Standard
- They diverge on capability: Neptune.ai covers Experiment tracking, Pinecone covers Vector similarity search.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Neptune.ai and Pinecone actually diverge.
| Attribute | Neptune.ai | Pinecone |
|---|---|---|
| Pricing model | Unknown | freemium |
| Platforms | Web, Self-hosted | 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 Pinecone
- Vector similarity search
- Metadata filtering
- Namespace partitioning
- Real-time updates
- Hybrid search
- OpenAI
- Cohere
- LangChain
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Neptune.ai
- Machine learningnot Pinecone
- Data analysisnot Pinecone
- Model trainingnot Pinecone
- Predictive analyticsnot Pinecone
Pinecone
- Vector database for AI/ML applicationsnot Neptune.ai
- Semantic search implementationnot Neptune.ai
- Recommendation systemsnot Neptune.ai
- RAG (Retrieval-Augmented Generation) architecturesnot 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
Pinecone
- Reads and writes are billed on separate meters, and reads are far more expensive, at $16 to $18 per million against $4 to $4.50 for writes on Standard
- Unit prices vary by region, so the same workload costs different amounts in different places
- The Standard plan carries a $50 monthly minimum and Enterprise $500, charged whether or not the usage reaches it
- Enterprise pays more per unit as well as more in minimum, at $24 to $27 per million reads against Standard's $16 to $18
- Indexes and namespaces are capped by plan, at 5 indexes on the free tier and 20 on Standard
- RBAC and SSO require the Standard plan
Pricing, plan by plan
Neptune.ai
FreeNo published plan breakdown. See the Neptune.ai review.
Pinecone
Free- StarterFree
- 2GB storage
- 2M write units/month
- 1M read units/month
- Builder$20/month
- 10GB storage
- 5M write units
- 2M read units
- Standard$50/month
- Unlimited storage ($0.33/GB/month)
- 20 indexes per project
- 100K namespaces
- Enterprise$500/month
- 99.95% uptime SLA
- BYOC (Bring Your Own Cloud) option
- Private endpoints
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 Pinecone if
- You need vector similarity search.
- You want to start without paying.
- You also want metadata filtering.
Questions people ask
- Is Neptune.ai or Pinecone better?
- Neither clearly leads. Neptune.ai starts at Free and Pinecone at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Neptune.ai or Pinecone?
- Neptune.ai starts at Free and Pinecone at Free.
- Does Neptune.ai or Pinecone run on more platforms?
- Neptune.ai runs on Web, Self-hosted. Pinecone runs on 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 Pinecone is typically brought in for.
- What can Neptune.ai do that Pinecone cannot?
- Neptune.ai covers Experiment tracking, Model registry, Metadata logging, Comparison views. Pinecone covers Vector similarity search, Metadata filtering, Namespace partitioning, Real-time updates. Both handle Web 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.
SourcePinecone: Does Pinecone offer a free plan?
Yes, Pinecone's Starter tier is free and includes 2GB storage, 2M write units/month, 1M read units/month, and supports up to 2 users and 1 project.
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.
SourcePinecone: What are Pinecone's storage costs on the Standard plan?
On the Standard plan, storage costs $0.33/GB per month. Read units cost $16-18 per million units; write units cost $4-4.50 per million units.
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.
SourcePinecone: What support options does Pinecone provide?
Starter tier includes community Discord support. Builder tier includes free support. Standard tier support costs $29/month for Developer or $250/month for Pro. Enterprise tier includes Pro support.
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.
SourceRelated pages
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