Machine Learning · head to head
Milvus vs Zilliz

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

Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Milvus vector dimensions are capped at 32,768; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: Milvus covers Billion-scale vectors, Zilliz covers Vector indexing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Milvus and Zilliz actually diverge.
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 Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- Hugging Face
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.
Milvus
- Self hosting a vector database for semantic searchnot Zilliz
- Storing and querying embeddings for retrieval augmented generationnot Zilliz
- Similarity search over images, audio or text at scalenot Zilliz
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot Milvus
- Implement semantic search over documentsnot Milvus
- Create multimodal search with text and imagesnot Milvus
- Power recommendation engines with vector similaritynot Milvus
- Enable similarity search on user embeddingsnot 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
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
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
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 Zilliz if
- You need vector indexing.
- You want to start without paying.
- You work on Cloud, Self-hosted.
- You also want distributed architecture.
Questions people ask
- Is Milvus or Zilliz better?
- Neither clearly leads. Milvus 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, Milvus or Zilliz?
- Milvus starts at Free and Zilliz at Free.
- Does Milvus or Zilliz run on more platforms?
- Milvus runs on Linux, Mac, Windows, Web. Zilliz runs on Cloud, Self-hosted.
- Can I use Milvus for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 Zilliz is typically brought in for.
- What can Milvus do that Zilliz cannot?
- Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor 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.
SourceZilliz: 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.
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.
SourceZilliz: 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.
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.
SourceZilliz: Is Milvus open-source?
Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.
SourceZilliz: 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.
SourceRelated pages
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- Zilliz vs Weaviate
- Zilliz vs Ray
- Zilliz vs Fal AI
- Zilliz vs Jupyter
- Zilliz vs Keras
- Zilliz vs LangChain
- Zilliz vs Weights & Biases
- Zilliz vs Alteryx
- Zilliz vs Anaconda
- Zilliz vs Domino Data Lab
- Zilliz vs DVC
- Zilliz vs Semantic Kernel
- Zilliz vs Qdrant
- Zilliz vs Vespa
- Zilliz vs Marqo
- Zilliz vs DataStax
- Zilliz vs Elasticsearch
- Zilliz vs Meilisearch
- Zilliz vs Typesense
- Zilliz vs Materialize
- Zilliz vs OpenSearch
- Zilliz vs Apache Solr
- Zilliz vs Readyset
- Zilliz vs SurrealDB
- Zilliz vs StarRocks
- Zilliz vs Teradata
- Zilliz vs TIBCO Enterprise Message Service
- Zilliz vs Timeplus
- Zilliz vs turbopuffer
