Open-Source AI · Vector database

Weaviate vs Milvus

Weaviate vs Milvus compared for 2026 — features, license, ease of use, performance and which one to choose. Vector DB with built-in modules vs Billion-scale vector database.

Updated regularly · curated by olud.ai

Choose Weaviate for teams wanting hybrid search and built-in modules. Choose Milvus for teams needing billion-scale vector search.

Weaviate vs Milvus at a glance

SpecWeaviateMilvus
CategoryVector databaseVector database
TypeVector databaseVector database
LicenseBSD-3-ClauseApache-2.0
Runs locallySelf-hostedSelf-hosted
Primary languageGoGo / C++
Ease of useIntermediateAdvanced
Best forteams wanting hybrid search and built-in modulesteams needing billion-scale vector search
GitHub stars16.6k45.3k

Feature comparison

FeatureWeaviateMilvus
Self-hostable
Managed cloud
Metadata filtering
Hybrid search
Horizontal scaling
REST API

How Weaviate and Milvus score

🤝 Too close to call — Weaviate and Milvus land within a hair (4.3 vs 4.2 / 5). Pick on fit, not on score.
CriterionWeaviateMilvus
Popularity3.54.0
Maintenance5.05.0
Ease of use3.52.5
Privacy4.54.5
License freedom5.05.0

Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.

What each one is

Weaviate

Vector database · BSD-3-Clause

Weaviate is an open-source vector database with built-in vectorization modules, hybrid search and a GraphQL API for AI-native applications.

  • Built-in vectorization and reranker modules
  • Hybrid (vector + keyword) search
  • GraphQL and REST APIs
See the Weaviate page →

Milvus

Vector database · Apache-2.0

Milvus is a cloud-native vector database built for massive scale, with multiple index types and a distributed architecture for billions of vectors.

  • Scales to billions of vectors
  • Many index types for tuning
  • Cloud-native, distributed architecture
See the Milvus page →

Key differences

Weaviate is vector database, while Milvus is vector database. Their licenses differ (BSD-3-Clause vs Apache-2.0), which matters if you ship a commercial product. Weaviate leans more intermediate-friendly, whereas Milvus is more suited to advanced users. In short, Weaviate fits teams wanting hybrid search and built-in modules, and Milvus fits teams needing billion-scale vector search.

Which should you choose?

Choose Weaviate for teams wanting hybrid search and built-in modules. Choose Milvus for teams needing billion-scale vector search.

There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.

Frequently asked questions

Is Weaviate or Milvus easier to use?

Weaviate is generally the easier of the two to get started with, while Milvus rewards more setup with more control.

Are Weaviate and Milvus free?

Weaviate is free and open source (BSD-3-Clause), and Milvus is free and open source (Apache-2.0). Neither charges for the core software.

Can I run Weaviate and Milvus locally?

Weaviate: self-hosted · Milvus: self-hosted. Both can be used without sending your data to a third-party cloud where their setup allows.

Weaviate vs Milvus — which should I pick in 2026?

Choose Weaviate for teams wanting hybrid search and built-in modules. Choose Milvus for teams needing billion-scale vector search.

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