Pyyan / Compare / Atlas Vector Search vs Pinecone vs Milvus
Atlas Vector Search vs Pinecone vs Milvus
3 of 5Vector Databases · verified 13 Aug 2026
| Specification | Atlas Vector Search | Pinecone | Milvus |
|---|---|---|---|
| Summary | Vectors beside the documents they came from. | Managed, and the smoothest to operate. | Built for billions of vectors. |
| Index | HNSW | Proprietary | HNSW, IVF, DiskANN, GPU |
| Hybrid search | Yes | Yes | Yes |
| Hosting | Managed | Managed only | Self-host and managed |
| Licence | Proprietary | Proprietary | Apache 2.0 |
| p50 latency | ~20ms | <10ms | ~10ms |
| Category | Vector Databases | Vector Databases | Vector Databases |
| Official | MongoDB ↗ | Pinecone ↗ | Zilliz ↗ |
Highlighted rows are where these differ.
Atlas Vector Search
- No second datastore to keep in sync
- Same argument as pgvector, different database
Best for teams already on MongoDB.
Pinecone
- Sub-10ms p50 with nothing to maintain
- Costs draw scrutiny at scale; Notion moved away and cut spend ~60%
Best for teams who do not want to run a database.
Milvus
- Distributed architecture with GPU index support
- Heavier to operate than the alternatives
Best for very large corpora.