Milvus vs 
FAISS
Milvus vs FAISS compared for 2026 — features, license, ease of use, performance and which one to choose. Billion-scale vector database vs The reference library for similarity search.
Updated regularly · curated by OpenSourceAI.tech
Milvus vs FAISS at a glance
| Spec | Milvus | FAISS |
|---|---|---|
| Category | Vector database | Vector database |
| Type | Vector database | Vector search library |
| License | Apache-2.0 | MIT |
| Runs locally | Self-hosted | Yes |
| Primary language | Go / C++ | C++/Python |
| Ease of use | Advanced | Advanced |
| Best for | teams needing billion-scale vector search | raw performance and research-grade control |
| GitHub stars | 45.2k | — |
Feature comparison
| Feature | Milvus | FAISS |
|---|---|---|
| Self-hostable | ✓ | ✓ |
| Managed cloud | ✓ | ✗ |
| Metadata filtering | ✓ | ✗ |
| Hybrid search | ✓ | ✗ |
| Horizontal scaling | ✓ | ✗ |
| REST API | ✓ | ✗ |
How Milvus and FAISS score
| Criterion | Milvus | FAISS |
|---|---|---|
| Popularity | 4.0 | n/a |
| Maintenance | 5.0 | n/a |
| Ease of use | 2.5 | 2.5 |
| Privacy | 4.5 | 5.0 |
| License freedom | 5.0 | 5.0 |
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
Milvus
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
FAISS
FAISS from Meta is the foundational C++/Python library for efficient vector similarity search and clustering — billions of vectors, dozens of index types, CPU and GPU.
- Industry-standard algorithms, battle-tested at Meta scale
- Unmatched index variety (IVF, HNSW, PQ...)
- GPU acceleration for massive datasets
Key differences
Milvus is vector database, while FAISS is vector search library. Their licenses differ (Apache-2.0 vs MIT), which matters if you ship a commercial product. They also differ in how they run (Self-hosted vs Yes). In short, Milvus fits teams needing billion-scale vector search, and FAISS fits raw performance and research-grade control.
Which should you choose?
Choose Milvus for teams needing billion-scale vector search. Choose FAISS for raw performance and research-grade control.
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 Milvus or FAISS easier to use?
Both sit at a similar level (Advanced). Your choice should come down to fit rather than difficulty.
Are Milvus and FAISS free?
Milvus is free and open source (Apache-2.0), and FAISS is free and open source (MIT). Neither charges for the core software.
Can I run Milvus and FAISS locally?
Milvus: self-hosted · FAISS: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Milvus vs FAISS — which should I pick in 2026?
Choose Milvus for teams needing billion-scale vector search. Choose FAISS for raw performance and research-grade control.
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