Capability · Comparison
Milvus vs Qdrant
Milvus and Qdrant are both serious production vector databases but target different extremes. Milvus is a cloud-native, horizontally sharded system designed for billion-vector workloads with separated compute and storage on a distributed stack. Qdrant is a Rust engine focused on single-node performance with optional clustering — simpler to run and often faster sub-billion. Choice is scale ceiling vs ops simplicity.
Side-by-side
| Criterion | Milvus | Qdrant |
|---|---|---|
| Language | Go + C++ | Rust |
| Deployment | Distributed (standalone Milvus Lite for dev) | Single binary or cluster |
| Scale ceiling (single deployment) | Billions of vectors | 100M-1B with sharding |
| Ops surface | etcd, MinIO/S3, Pulsar/Kafka, multiple pods | One service per node |
| Index types | HNSW, IVF, DiskANN, SCANN, etc. | HNSW (tunable) |
| Quantisation | Scalar and product | Scalar, product, binary |
| Managed cloud | Zilliz Cloud | Qdrant Cloud |
| License | Apache 2.0 | Apache 2.0 |
Verdict
For workloads that truly need billions of vectors and a team that can operate a distributed cloud-native system (etcd, object storage, message bus), Milvus is built for exactly that scale and its managed version Zilliz Cloud smooths the ops. For most production RAG workloads — tens or hundreds of millions of vectors — Qdrant offers simpler operations and very competitive single-node performance. Default to Qdrant unless you know you're heading to billion-scale.
When to choose each
Choose Milvus if…
- You're heading past hundreds of millions of vectors.
- You have Kubernetes and cloud-native ops expertise in-house.
- You want a large catalogue of index types including DiskANN.
- You plan to use Zilliz Cloud as the managed tier.
Choose Qdrant if…
- Sub-billion scale covers your workload.
- Your ops team is small — fewer moving parts matter.
- You want a single binary to deploy or a simple cluster.
- Rust memory safety and consistent low-latency are priorities.
Frequently asked questions
Is Milvus overkill under 100M vectors?
Often yes — the distributed architecture is designed for scales that most projects never reach. Milvus Lite simplifies the dev experience but the full deployment still has overhead.
Which is faster in benchmarks?
On single-node workloads, Qdrant typically wins per-query latency. On billion-scale distributed workloads, Milvus is the more proven system.
Can I migrate between them?
Yes — both support standard HNSW indexing and similar payload models. Migration cost is mostly rewriting client code and re-indexing.