vs

Milvus vs Weaviate

Milvus: Cloud-native, distributed open-source vector database built for billions of vectors. Weaviate: Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy.

key differences

  • Milvus is built for larger datasets (Multi-PB) than Weaviate (≤ 1 PB).
  • Only Milvus has change data capture, ttl / expiry, online schema changes, streaming ingest.
  • Only Weaviate has geospatial.
  • Milvus can run embedded in your application process.

choose milvus for

  • +Billion-scale semantic and image search
  • +RAG platforms serving many teams
  • +Recommendation and deduplication
  • +Multimodal retrieval over lakehouse data

best at · Vector search, RAG, Search

choose weaviate for

  • +RAG over documents with hybrid retrieval
  • +Multi-tenant SaaS semantic search
  • +Product and content recommendation
  • +Agent memory stores

best at · Vector search, RAG, Search

overview
Primary model
Vector
Vector
Also supports
Search Engine, Document
Document, Search Engine
Type
Database engine
Database engine
Status
Active
Active
Developer
LF AI & Data Foundation (developed mainly by Zilliz)
Weaviate B.V.
First release
2019
2019
Latest version
3.0.4 (Oct 26, 2026)
1.40.2 (Oct 22, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)BSD-3-Clause (core); enterprise features under the Weaviate License
Free tier
✓
✓
popularity
WhichDB Score
45.9
33.4
Rank
#35
#65
GitHub stars
46.5K
16.9K
Stack Overflow questions
208
160
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Tunable, Strong, Eventual
Tunable, Eventual
Schema
Strict
Flexible
Architecture
Distributed, Shared storage, Embedded, Client server
Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
✓
—
Edge
—
—
Clouds
AWS, Google Cloud, Azure
AWS, Google Cloud, Azure
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
—
✓
JSON
✓
✓
Change data capture
✓
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
✓
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
—
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
✓
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Milvus API (boolean filter expressions)
GraphQL, Weaviate query API
Client languages
Python, Java, Go, Node.js, C#, Rust
Python, TypeScript, Go, Java, C#
Best for
Vector search, RAG, Search
Vector search, RAG, Search

Milvus vs Weaviate: FAQ

What is the difference between Milvus and Weaviate?

Milvus: Cloud-native, distributed open-source vector database built for billions of vectors. Weaviate: Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy. Milvus is built for larger datasets (Multi-PB) than Weaviate (≤ 1 PB). Only Milvus has change data capture, ttl / expiry, online schema changes, streaming ingest. Only Weaviate has geospatial.

When should I choose Milvus over Weaviate?

Choose Milvus for billion-scale semantic and image search; RAG platforms serving many teams; and recommendation and deduplication. Choose Weaviate for RAG over documents with hybrid retrieval; multi-tenant SaaS semantic search; and product and content recommendation.

Is Milvus or Weaviate more popular?

Milvus ranks #35 on the WhichDB Score (45.9/100) and Weaviate ranks #65 (33.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Milvus and Weaviate open source?

Yes. Milvus is open source. License: Apache License 2.0. Yes. Weaviate is open source. License: BSD-3-Clause (core); enterprise features under the Weaviate License.