DevVersus

Milvus vs Weaviate(2026)

Milvus is better for teams that need best for large-scale deployments. Weaviate is the stronger choice if richest feature set. Milvus is open-source (from $0) and Weaviate is open-source (from $0).

Full feature breakdown, pricing details, and pros & cons below.

By Bikram Nath

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Milvus logo

Milvus

open-source

Milvus is an open-source, cloud-native vector database built for scalable similarity search. Designed for billion-scale vectors with high throughput and low latency.

Starting at $0

Visit Milvus
Weaviate logo

Weaviate

open-source

Weaviate is an open-source vector database with built-in ML model integrations, graph-like data structures, and hybrid search — available self-hosted or as a managed cloud service.

Starting at $0

Visit Weaviate

How Do Milvus and Weaviate Compare on Features?

FeatureMilvusWeaviate
Pricing modelopen-sourceopen-source
Starting price$0$0
Open source✓✓
Billion-scale vectors✓—
Multiple index types (IVF, HNSW)✓—
Cloud-native (Kubernetes)✓—
Attu GUI✓—
Multi-vector search✓—
Managed (Zilliz Cloud)✓—
Built-in vectorization modules—✓
Hybrid search (BM25 + vector)—✓
GraphQL API—✓
Multi-tenancy—✓
Self-hostable—✓
Managed cloud—✓

Milvus Pros and Cons vs Weaviate

M

Milvus

+Best for large-scale deployments
+Active CNCF project
+Multiple index options
+High throughput
−Complex Kubernetes deployment
−Heavy resource requirements
−Steep learning curve
W

Weaviate

+Richest feature set
+Built-in ML model support
+Graph-like traversal
+Active community
−Complex setup
−Higher memory usage
−Steeper learning curve

Should You Use Milvus or Weaviate?

For most teams, Milvus is the better default: it offers best for large-scale deployments and is open-source (from $0). Choose Weaviate instead if richest feature set matters more than complex kubernetes deployment. There is no universal winner — the right pick depends on your budget, team size, and whether you value best for large-scale deployments or richest feature set more.

Choose Milvus if…

  • •Best for large-scale deployments
  • •Active CNCF project
  • •Multiple index options

Choose Weaviate if…

  • •Richest feature set
  • •Built-in ML model support
  • •Graph-like traversal

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