vs

Milvus vs Vertex AI Vector Search

Milvus: Cloud-native, distributed open-source vector database built for billions of vectors. Vertex AI Vector Search: Google Cloud's managed ANN service built on ScaNN, now part of Gemini Enterprise Agent Platform.

key differences

  • Licensing: Milvus is open source (permissive) (Apache License 2.0); Vertex AI Vector Search is proprietary (Proprietary (Google Cloud service)).
  • Only Milvus has full-text search, json, change data capture, ttl / expiry, compression.
  • Only Vertex AI Vector Search has encryption at rest.
  • 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 vertex-ai-vector-search for

  • +Large-scale semantic search on GCP
  • +Recommendation candidate retrieval
  • +RAG for Gemini-based agents
  • +Image and product similarity

best at · Vector search, RAG

overview
Primary model
Vector
Vector
Also supports
Search Engine, Document
–
Type
Database engine
Managed service
Status
Active
Active
Developer
LF AI & Data Foundation (developed mainly by Zilliz)
Google Cloud
First release
2019
2021
Latest version
3.0.4 (Oct 26, 2026)
–
License
Open source (permissive)Apache License 2.0
ProprietaryProprietary (Google Cloud service)
Free tier
✓
—
popularity
WhichDB Score
45.9
21.2
Rank
#35
#141
GitHub stars
46.5K
–
Stack Overflow questions
208
984
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Tunable, Strong, Eventual
Eventual
Schema
Strict
Schemaless
Architecture
Distributed, Shared storage, Embedded, Client server
Distributed
deployment
Self-hosted
✓
—
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
✓
—
Edge
—
—
Clouds
AWS, Google Cloud, Azure
Google Cloud
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)
Vector Search API (restricts and numeric filters)
Client languages
Python, Java, Go, Node.js, C#, Rust
Python, Java, Node.js, Go
Best for
Vector search, RAG, Search
Vector search, RAG

Milvus vs Vertex AI Vector Search: FAQ

What is the difference between Milvus and Vertex AI Vector Search?

Milvus: Cloud-native, distributed open-source vector database built for billions of vectors. Vertex AI Vector Search: Google Cloud's managed ANN service built on ScaNN, now part of Gemini Enterprise Agent Platform. Licensing: Milvus is open source (permissive) (Apache License 2.0); Vertex AI Vector Search is proprietary (Proprietary (Google Cloud service)). Only Milvus has full-text search, json, change data capture, ttl / expiry, compression. Only Vertex AI Vector Search has encryption at rest.

When should I choose Milvus over Vertex AI Vector Search?

Choose Milvus for billion-scale semantic and image search; RAG platforms serving many teams; and recommendation and deduplication. Choose Vertex AI Vector Search for large-scale semantic search on GCP, recommendation candidate retrieval and RAG for Gemini-based agents.

Is Milvus or Vertex AI Vector Search more popular?

Milvus ranks #35 on the WhichDB Score (45.9/100) and Vertex AI Vector Search ranks #141 (21.2/100). Popularity is not fit: check the requirements that matter for your project.

Are Milvus and Vertex AI Vector Search open source?

Yes. Milvus is open source. License: Apache License 2.0. No. Vertex AI Vector Search is proprietary, closed-source software.