vs

Milvus vs Pinecone

Milvus: Cloud-native, distributed open-source vector database built for billions of vectors. Pinecone: Fully managed serverless vector database with built-in embedding, reranking and assistants.

key differences

  • Licensing: Milvus is open source (permissive) (Apache License 2.0); Pinecone is proprietary (Proprietary SaaS).
  • Milvus is built for larger datasets (Multi-PB) than Pinecone (≤ 1 PB).
  • Only Milvus has full-text search, change data capture, ttl / expiry, compression, online schema changes.
  • Only Pinecone has encryption at rest.
  • Pinecone has a serverless option; Milvus does not.
  • 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 pinecone for

  • +RAG over company documents
  • +Semantic search in SaaS products
  • +Recommendation and similarity lookups
  • +Multi-tenant AI apps with per-customer namespaces

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)
Pinecone Systems, Inc.
First release
2019
2021
Latest version
3.0.4 (Oct 26, 2026)
–
License
Open source (permissive)Apache License 2.0
ProprietaryProprietary SaaS
Free tier
✓
✓
popularity
WhichDB Score
45.9
15.5
Rank
#35
#213
GitHub stars
46.5K
–
Stack Overflow questions
208
116
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
Eventual
Schema
Strict
Schemaless
Architecture
Distributed, Shared storage, Embedded, Client server
Serverless, Distributed, Shared storage
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)
Pinecone API (metadata filter expressions)
Client languages
Python, Java, Go, Node.js, C#, Rust
Python, JavaScript, Java, Go, .NET, Rust
Best for
Vector search, RAG, Search
Vector search, RAG

Milvus vs Pinecone: FAQ

What is the difference between Milvus and Pinecone?

Milvus: Cloud-native, distributed open-source vector database built for billions of vectors. Pinecone: Fully managed serverless vector database with built-in embedding, reranking and assistants. Licensing: Milvus is open source (permissive) (Apache License 2.0); Pinecone is proprietary (Proprietary SaaS). Milvus is built for larger datasets (Multi-PB) than Pinecone (≤ 1 PB). Only Milvus has full-text search, change data capture, ttl / expiry, compression, online schema changes.

When should I choose Milvus over Pinecone?

Choose Milvus for billion-scale semantic and image search; RAG platforms serving many teams; and recommendation and deduplication. Choose Pinecone for RAG over company documents; semantic search in SaaS products; and recommendation and similarity lookups.

Is Milvus or Pinecone more popular?

Milvus ranks #35 on the WhichDB Score (45.9/100) and Pinecone ranks #213 (15.5/100). Popularity is not fit: check the requirements that matter for your project.

Are Milvus and Pinecone open source?

Yes. Milvus is open source. License: Apache License 2.0. No. Pinecone is proprietary, closed-source software.