Qdrant vs Vertex AI Vector Search
| Qdrant | Vertex AI Vector Search | |
|---|---|---|
| Free plan | Yes | No |
| Free trial | No | No |
| Paid from | Free | — |
| Open source | No | No |
| Platforms | api, Linux, macOS, self-hosted, Web, Windows | Web |
| Free plan | Yes | — |
| Deployment | both | cloud |
| Hybrid search | Yes | Yes |
| Metadata filtering | Yes | Yes |
| Sparse vectors | Yes | Yes |
| Maximum dimensions | 65,535 dimensions | — |
| Index types | HNSW; sparse vector index; payload index; filterable HNSW | Tree-AH, brute force |
| SDK languages | Python, JavaScript/TypeScript, Rust, Go, .NET, Java | Python, Java |
Both are listed in Best Vector Database Hosting. On Inferse, Qdrant scores higher on our published basis.