Milvus vs Chroma

Milvus8.8Visit Chroma8.0Visit

Higher score Milvus #6 in Vector Databases 8.8/10 Free plan Free plan✓ 3 of 3 features Visit Milvus

vs

Chroma #14 in Vector Databases 8.0/10 Free plan Free plan✓ 3 of 3 features Visit Chroma

• Milvus fits best

  Open-source teams needing maximum vector depth

• Chroma fits best

  AI teams needing multimodal retrieval integrations

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Side by side

Feature	Milvus 8.8/10 Visit ↗	Chroma 8.0/10 Visit ↗
At a glance
Editor score	8.8	8.0
Ranking	#6 in Vector Databases	#14 in Vector Databases
Best for	Open-source teams needing maximum vector depth	AI teams needing multimodal retrieval integrations
Pricing model	Free	Free plan + paid
Starting price	Free plan	$250/mo
Free plan	✓	✓
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Support	Community, Docs	Email, Community, Docs
Integrations	8 integrations	18 integrations
Built for	Solo, Small business, Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features Milvus 3/3 · Chroma 3/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Sparse vectors	✓	✓
Specs
Deployment	Both	Both
Maximum dimensions	Not checked yet	4096 dimensions
Index types	HNSW, IVF, FLAT, DiskANN, SCANN	VectorIndex, SparseVectorIndex, FtsIndex, StringInvertedIndex, IntInvertedIndex, FloatInvertedIndex, BoolInvertedIndex
SDK languages	Python, Go, Java, Node.js, C++	Python, TypeScript, Rust, Kotlin, Swift
Our review
Pros	Supports dense, sparse, binary, hybrid, filtered, and reranked search Runs locally, with Docker, or across distributed Kubernetes deployments Offers broad index coverage and SDKs for Python, Go, Java, Node.js, and C++	Supports dense, sparse, hybrid, full-text, regex, and metadata search Connects with eight AI platforms, including OpenAI and Hugging Face Offers local, self-hosted, and managed serverless deployment options
Cons	Self-hosted deployment places infrastructure and operations work on your team Its broad index catalog can make architecture decisions more involved Managed cloud is provided separately through Zilliz Cloud	Team pricing starts at $250/month before usage-based charges Enterprise pricing is custom rather than publicly listed Some Cloud limits, including maximum dimensions, depend on quotas
Our verdict	Milvus is an open-source vector database for GenAI applications and similarity search. It suits teams building retrieval-augmented generation, image search, multimodal search, and large-scale production systems that need more than a single… Read the review →	Chroma is an open-source database and search infrastructure for AI applications. It stores documents, embeddings, and metadata for workloads such as agentic search, code search, and retrieval-augmented applications. Teams can run it… Read the review →

Strengths and trade-offs

• Milvus — where it wins

  • Supports dense, sparse, binary, hybrid, filtered, and reranked search
  • Runs locally, with Docker, or across distributed Kubernetes deployments
  • Offers broad index coverage and SDKs for Python, Go, Java, Node.js, and C++

  Where it doesn't

  • Self-hosted deployment places infrastructure and operations work on your team
  • Its broad index catalog can make architecture decisions more involved
  • Managed cloud is provided separately through Zilliz Cloud

• Chroma — where it wins

  • Supports dense, sparse, hybrid, full-text, regex, and metadata search
  • Connects with eight AI platforms, including OpenAI and Hugging Face
  • Offers local, self-hosted, and managed serverless deployment options

  Where it doesn't

  • Team pricing starts at $250/month before usage-based charges
  • Enterprise pricing is custom rather than publicly listed
  • Some Cloud limits, including maximum dimensions, depend on quotas

• Milvus8.8/10 · Free plan

  A deep, flexible open-source choice for demanding vector and hybrid search workloads.

  Visit MilvusFull verdict →
• Chroma8.0/10 · Free plan

  A flexible vector database for multimodal retrieval, with a free tier and paid usage costs.

  Visit ChromaFull verdict →