Comparison
YDB-Qdrant vs Google Cloud Vector Search
YDB-Qdrant is a self-hostable Qdrant-compatible layer for teams that already store application data in YDB. Google Cloud Vector Search is a managed Google Cloud option for teams whose embeddings, serving, and AI operations already live in the Google Cloud ecosystem.
Choose YDB-Qdrant when
- YDB is already the persistence layer for the application.
- A focused Qdrant-compatible REST subset covers collection, point, search, query, and delete needs.
- The workload is a prototype, internal RAG service, IDE-agent memory store, or YDB-backed semantic search feature.
- Exact top-k search is acceptable for the current data size and latency target.
Choose Google Cloud Vector Search when
- The data platform, embedding pipeline, and serving workflow already run on Google Cloud.
- A managed vector search service is preferred over operating a self-hosted Node.js service.
- The team needs Google Cloud-native operational, IAM, monitoring, and deployment controls.