Qdrant vs Zilliz Cloud
A side-by-side comparison of Qdrant and Zilliz Cloud, two Vector DB tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Zilliz Cloud
Vector DBFully managed vector database service built on open-source Milvus.
View Zilliz CloudAt a glance
| Attribute | Qdrant | Zilliz Cloud |
|---|---|---|
| Category | Vector DB | Vector DB |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms (differs) | API | Web, API |
| Model support (differs) | Model-agnostic | — |
| Vendor (differs) | Qdrant | Zilliz |
| Capabilities (differs) |
|
|
The honest brief
Qdrant
Rust single-binary you can self-host, with payload filtering strong enough that teams pick it for metadata-heavy search.
- Open source, written in Rust
- Self-host or managed cloud
- Strong payload/metadata filtering
- Predictable latency at scale
- More ops than fully-managed rivals
- Smaller ecosystem than Pinecone
- Advanced features lean on managed cloud
Zilliz Cloud
Managed Milvus from its original creators, with GPU-accelerated indexing, tiered storage, and hybrid dense/sparse search built in.
- Built by Milvus's original creators
- Free serverless tier, no card required
- Scales to billions of vectors
- Auto-scaling with dedicated clusters
- Multi-cloud (AWS, GCP, Azure)
- The managed service itself is proprietary
- Costs grow with compute and scale
- Vector DB only, not a full RAG stack
When to pick which
Across the signals we compare, Qdrant and Zilliz Cloud differ on license, deployment, and platforms:
- License
- Open core · Proprietary
- Deployment
- Hybrid · Cloud
- Platforms
- API · Web, API
Their capability lists differ in recorded depth — compare the full lists above before deciding.