Machine Learning · head to head
Milvus vs Palantir Foundry

Milvus
Machine Learning
Open-source vector database for scalable similarity search
- From
- Free
- Rated
- -

Palantir Foundry
Machine Learning
Operating system for modern enterprise
- From
- On request
- Rated
- -
The short version
- Only Milvus has a free tier, so it costs nothing to try first.
- Each has a real cost: Milvus vector dimensions are capped at 32,768; Palantir Foundry custom pricing model with no public information makes budgeting difficult
- They diverge on capability: Milvus covers Billion-scale vectors, Palantir Foundry covers Data integration.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Milvus and Palantir Foundry actually diverge.
| Attribute | Milvus | Palantir Foundry |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | freemium | subscription |
| Free tier | Yes | No |
| Platforms | Linux, Mac, Windows, Web | Web |
| Founded | 2017 | 2003 |
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 Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- Hugging Face
Only in Palantir Foundry
- Data integration
- Ontology modeling
- Pipeline builder
- Operational analytics
- Governance
- Enterprise systems
- Cloud platforms
- IoT
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Milvus
- Self hosting a vector database for semantic searchnot Palantir Foundry
- Storing and querying embeddings for retrieval augmented generationnot Palantir Foundry
- Similarity search over images, audio or text at scalenot Palantir Foundry
Palantir Foundry
- Machine learningnot Milvus
- Data analysisnot Milvus
- Model trainingnot Milvus
- Predictive analyticsnot Milvus
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Milvus
- Vector dimensions are capped at 32,768
- A collection is limited to 64 fields, 1,024 partitions and 16 shards
- Only 1 index is allowed per field
- Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
- Input and output per RPC is capped at 64 MB for insert, search and query
- VARCHAR values are limited to 65,535 characters
- Data loaded into query nodes cannot exceed 90% of available memory
- An instance supports at most 65,536 collections
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
Pricing, plan by plan
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
Palantir Foundry
On request- EnterpriseFree
- Full platform
- Custom deployment
- Enterprise support
Which should you pick?
Choose Milvus if
- You need billion-scale vectors.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want multiple index types.
Choose Palantir Foundry if
- You need data integration.
- You also want ontology modeling.
Questions people ask
- Is Milvus or Palantir Foundry better?
- Neither clearly leads. Milvus starts at Free and Palantir Foundry at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Milvus or Palantir Foundry?
- Milvus has a free tier; the other does not. Paid plans start at Free for Milvus and On request for Palantir Foundry.
- Does Milvus or Palantir Foundry run on more platforms?
- Milvus runs on Linux, Mac, Windows, Web. Palantir Foundry runs on Web.
- Can I use Milvus for free?
- Yes. Milvus has a free tier, so you can try it without paying. Palantir Foundry starts at On request.
- What is Milvus best used for?
- Milvus is most often used for self hosting a vector database for semantic search, storing and querying embeddings for retrieval augmented generation, similarity search over images, audio or text at scale. Of those, self hosting a vector database for semantic search and storing and querying embeddings for retrieval augmented generation are not what Palantir Foundry is typically brought in for.
- What can Milvus do that Palantir Foundry cannot?
- Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Palantir Foundry covers Data integration, Ontology modeling, Pipeline builder, Operational analytics. Both handle Web support.
Answered from the vendors’ own pages
Milvus: How much does Milvus cost?
Milvus is open-source and free to use and modify. The self-hosted version has no licensing cost. Zilliz Cloud (the managed SaaS version) does not publish pricing on the website.
SourcePalantir 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.
SourceMilvus: Is there a free or open-source version of Milvus?
Yes, Milvus is fully open-source and available for free. Milvus Lite is a lightweight option for learning and prototyping that can be installed via pip.
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.
SourceMilvus: Does Milvus offer a managed cloud service?
Yes, Zilliz Cloud is a fully managed Milvus cloud offering with serverless and dedicated cluster options. Pricing must be requested from the company as it is not listed on the public website.
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.
SourceRelated pages
More on Palantir Foundry
Other head to heads
- Milvus vs Google Vertex AI
- Milvus vs AWS SageMaker
- Milvus vs Azure Machine Learning
- Milvus vs DataRobot
- Milvus vs Pinecone
- Milvus vs Weaviate
- Milvus vs Ray
- Milvus vs Fal AI
- Milvus vs Jupyter
- Milvus vs Keras
- Milvus vs LangChain
- Milvus vs Weights & Biases
- Milvus vs Alteryx
- Milvus vs Anaconda
- Milvus vs Domino Data Lab
- Milvus vs DVC
- Milvus vs Semantic Kernel
- Milvus vs Snowflake
- Milvus vs IBM SPSS
- Milvus vs SAS
- Milvus vs Databricks
- Milvus vs H2O.ai
- Milvus vs Cohere
- Milvus vs Dataiku
- Milvus vs BigQuery ML
- Milvus vs KNIME
- Milvus vs Python
- Milvus vs PyTorch
- Milvus vs scikit-learn
- Palantir Foundry vs Google Vertex AI
- Palantir Foundry vs AWS SageMaker
- Palantir Foundry vs Azure Machine Learning
- Palantir Foundry vs DataRobot
- Palantir Foundry vs Pinecone
- Palantir Foundry vs Weaviate
- Palantir Foundry vs Ray
- Palantir Foundry vs Fal AI
- Palantir Foundry vs Jupyter
- Palantir Foundry vs Keras
- Palantir Foundry vs LangChain
- Palantir Foundry vs Weights & Biases
- Palantir Foundry vs Alteryx
- Palantir Foundry vs Anaconda
- Palantir Foundry vs Domino Data Lab
- Palantir Foundry vs DVC
- Palantir Foundry vs Semantic Kernel
- Palantir Foundry vs Snowflake
- Palantir Foundry vs IBM SPSS
- Palantir Foundry vs SAS
- Palantir Foundry vs Databricks
- Palantir Foundry vs H2O.ai
- Palantir Foundry vs Cohere
- Palantir Foundry vs Dataiku
- Palantir Foundry vs BigQuery ML
- Palantir Foundry vs KNIME
- Palantir Foundry vs Python
- Palantir Foundry vs PyTorch
- Palantir Foundry vs scikit-learn
