Milvus vs Vespa

Milvus8.8Visit Vespa8.3Visit

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

vs

Vespa #11 in Vector Databases 8.3/10 Paid ✓ 3 of 3 features Visit Vespa

• Milvus fits best

  Open-source teams needing maximum vector depth

• Vespa fits best

  Large-scale search and ranking systems

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Side by side

Feature	Milvus 8.8/10 Visit ↗	Vespa 8.3/10 Visit ↗
At a glance
Editor score	8.8	8.3
Ranking	#6 in Vector Databases	#11 in Vector Databases
Best for	Open-source teams needing maximum vector depth	Large-scale search and ranking systems
Pricing model	Free	Paid
Starting price	Free plan	$0.05/unit usage-based
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Support	Community, Docs	Email, Community, Docs
Built for	Solo, Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Milvus 3/3 · Vespa 3/3
Hybrid search	✓	✓
Metadata filtering	✓	✓
Sparse vectors	✓	✓
Specs
Deployment	Both	Both
Maximum dimensions	Not checked yet	Not checked yet
Index types	HNSW, IVF, FLAT, DiskANN, SCANN	HNSW
SDK languages	Python, Go, Java, Node.js, C++	Python, Java
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++	Combines dense, lexical, hybrid, exact, and ANN search Supports real-time updates, filtering, ranking, and inference Scales across distributed deployments with automatic data distribution
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	No free plan for evaluating hosted Vespa Cloud Advanced capabilities may require substantial search expertise Startup includes shared resources and no autoscaling
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 →	Vespa is a distributed AI search and serving platform for teams building search, recommendations, personalization, navigation, and retrieval-augmented generation applications. It brings vector and tensor search, lexical retrieval with… 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

• Vespa — where it wins

  • Combines dense, lexical, hybrid, exact, and ANN search
  • Supports real-time updates, filtering, ranking, and inference
  • Scales across distributed deployments with automatic data distribution

  Where it doesn't

  • No free plan for evaluating hosted Vespa Cloud
  • Advanced capabilities may require substantial search expertise
  • Startup includes shared resources and no autoscaling

• Milvus8.8/10 · Free plan

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

  Visit MilvusFull verdict →
• Vespa8.3/10 · Paid

  A powerful distributed engine for hybrid retrieval, ranking, and real-time AI search.

  Visit VespaFull verdict →