Head to head
MongoDB Atlas Vector Search vs Zilliz Cloud (Milvus)
As a vector database API, MongoDB Atlas Vector Search rates higher on the APIbenchmarks Index, 86 to 85.4, a 0.6-point gap. Here is how they compare on each criterion.
Criterion by criterion
| Criterion | MongoDB Atlas Vector Search | Zilliz Cloud (Milvus) |
|---|---|---|
| Documentation & DX | ||
| Reliability | ||
| Ecosystem & SDKs | ||
| Accessibility | ||
| APIbenchmarks Index | 86.0 | 85.4 |
Specifications
| MongoDB Atlas Vector Search | Zilliz Cloud (Milvus) | |
|---|---|---|
| Best for | Vector search inside operational MongoDB | Managed Milvus at billion-vector scale |
| Free tier | M0 cluster: 512MB storage, shared | 5GB storage + compute credits, permanent free tier |
| Pricing | Atlas cluster consumption-based | Per compute-unit-hour + storage |
| Official SDKs | 12 languages | 9 languages |
Is MongoDB Atlas Vector Search better than Zilliz Cloud (Milvus)?
On the APIbenchmarks Index, MongoDB Atlas Vector Search rates higher (86 vs 85.4). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.