Machine Learning · head to head
Palantir Foundry vs Weaviate

Palantir Foundry
Machine Learning
Operating system for modern enterprise
- From
- On request
- Rated
- -
The short version
- Only Weaviate has a free tier, so it costs nothing to try first.
- Each has a real cost: Palantir Foundry custom pricing model with no public information makes budgeting difficult; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- They diverge on capability: Palantir Foundry covers Data integration, 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 Palantir Foundry and Weaviate actually diverge.
| Attribute | Palantir Foundry | Weaviate |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | subscription | freemium |
| Free tier | No | Yes |
| Platforms | Web | Linux, Mac, Windows, Web |
| Founded | 2003 | 2019 |
Identical on both: 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 Palantir Foundry
- Data integration
- Ontology modeling
- Pipeline builder
- Operational analytics
- Governance
- Enterprise systems
- Cloud platforms
- IoT
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.
Palantir Foundry
- Machine learningnot Weaviate
- Data analysisnot Weaviate
- Model trainingnot Weaviate
- Predictive analyticsnot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Palantir Foundry
- Generating and storing embeddings alongside the objects they describenot Palantir Foundry
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Palantir Foundry
- Custom pricing model with no public information makes budgeting difficult
- Steep implementation and configuration requirements
- Requires significant technical expertise to operate effectively
- Long sales cycle typical for enterprise software
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
Palantir Foundry
On request- EnterpriseFree
- Full platform
- Custom deployment
- Enterprise support
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
Which should you pick?
Choose Palantir Foundry if
- You need data integration.
- You also want ontology modeling.
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 Palantir Foundry or Weaviate better?
- Neither clearly leads. Palantir Foundry 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, Palantir Foundry or Weaviate?
- Weaviate has a free tier; the other does not. Paid plans start at On request for Palantir Foundry and Free for Weaviate.
- Does Palantir Foundry or Weaviate run on more platforms?
- Palantir Foundry 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. Palantir Foundry starts at On request.
- What is Palantir Foundry best used for?
- Palantir Foundry 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 Palantir Foundry do that Weaviate cannot?
- Palantir Foundry covers Data integration, Ontology modeling, Pipeline builder, Operational analytics. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy. Both handle Web support.
Answered from the vendors’ own pages
Palantir Foundry: What is Palantir Foundry designed for?
Palantir Foundry is an enterprise data integration and analytics platform supporting end-to-end data pipelines, covering ingestion, processing, pipeline building, monitoring, and creating analytics dashboards with both code and no-code tools.
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.
SourcePalantir Foundry: How much does Palantir Foundry cost?
Palantir Foundry uses custom pricing. No public list pricing is available. Enterprise customers and government agencies must contact Palantir directly for formal quotes and licensing terms.
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.
SourcePalantir Foundry: Who uses Palantir Foundry?
Palantir Foundry serves enterprise and government organizations needing complex data integration, analytics, and operational intelligence across large-scale data environments.
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.
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
More on Palantir Foundry
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