- Pick it if you are:
- Teams with billions of vectors; Teams with Kubernetes and ops skills
- Top complaint:
- Milvus query node runs out of memory when loading large collections
- Price:
- Free plan, paid from $126/mo
- Pick it if you are:
- Performance-focused AI teams; Budget-conscious startups
- Top complaint:
- Steep learning curve for vector DB newcomers
- Price:
- Free plan
Score Comparison
Signals Comparison
Milvus
- Milvus query node runs out of memory when loading large collections(8/10)
- Slow search after restart, scaling or heavy filters(7/10)
- Free Zilliz Cloud cluster first query times out(4/10)
Qdrant
- Slow startup with large collections(6/10)
- gRPC slower than REST with payloads(5/10)
- Initial ingestion hiccups at large scale(5/10)
Milvus
- Search fails with 'collection not loaded' until you index and load(6/10)
- Vector dimension mismatch errors when switching embedding model(6/10)
- Freshly inserted data does not show up in search(5/10)
- Concurrent bulk inserts hit 'DataNode resource not enough'(5/10)
Qdrant
- UI is limited - no bulk operations(5/10)
- No built-in visualization capabilities(4/10)
- UI randomly stuck on loading(4/10)
Milvus
- Index not exist error after creating a collection(5/10)
- Cluster mode is heavy to run yourself(7/10)
Qdrant
- Steep learning curve for vector DB newcomers(5/10)
Milvus
- Connection refused or timeout on localhost:19530(6/10)
- etcd and MinIO dependencies cause startup crashes(8/10)
Qdrant
- Startup panic errors after version upgrades(7/10)
- Instance corruption after container restarts(8/10)
- Server stops responding under normal load(6/10)
Milvus
- Zilliz Cloud Dedicated starts at $126/month and scales with vectors(6/10)
Qdrant
No signals
Milvus
- Many production questions stay open on GitHub(5/10)
Qdrant
No signals
Pricing Comparison
Milvus
Users: Unlimited
Storage: Your own disk
Limits: No managed backups or SLA; community support
Users: Not stated
Storage: 5 GB
Limits: 5 GB storage, 5 collections, community support only
Limits: Standard tier; no 99.95% SLA
Limits: Price depends on cluster and storage tier
Qdrant
Users: Unlimited
Storage: Limited by your infrastructure
Limits: No managed hosting, manual operations, community-only support
Users: Unlimited
Storage: 4 GB disk, 1 GB RAM, 0.5 vCPU
Limits: 1 GB RAM / 0.5 vCPU / 4 GB disk, single node, limited regions and providers, no dedicated resources
Users: Unlimited
Storage: Pay per usage
Limits: Standard SLA only (99.5%), premium tier for 99.9%
Users: Unlimited
Storage: Custom
Limits: Requires a minimum spend
Feature Comparison
| Feature | Milvus | Qdrant |
|---|---|---|
| Core | ||
| Dense vector search | ||
| Sparse vector search SPARSE_INVERTED_INDEX | ||
| Binary vectors | ||
| core | ||
| Vector Similarity Search | ||
| Payload Filtering | ||
| Hybrid Search | ||
| Index | ||
| HNSW index | ||
| IVF_PQ index | ||
| DiskANN / disk-based index Mentioned for data larger than RAM | ||
| performance | ||
| Scalar Quantization | ||
| Binary Quantization | ||
| reliability | ||
| Distributed Mode | ||
| Snapshot & Backup | ||
| Usability | ||
| Auto-indexing on create Index must be created before load | ||
| security | ||
| Multi-tenancy | ||
| Deployment | ||
| Managed cloud Zilliz Cloud | ||
| Embedded local mode Milvus Lite (no Windows wheel per third-party guide) | ||
| integration | ||
| REST & gRPC APIs | ||
| ai | ||
| Cloud Inference | ||
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