Qdrant vs Vespa

Side-by-side from the Top 11 ranking of The 11 Best Vector Databases (2026). Last verified May 31, 2026.

The short answer

Qdrant ranks higher on Top 11 (#4 vs #6) for AI engineers building RAG and semantic search at scale. A highly performant and efficient vector database written in Rust.

At a glance

QdrantVespa
Top 11 rank#4 / The 11 Best Vector Databases (2026)#6 / The 11 Best Vector Databases (2026)
Score (out of 9.4)8.98.5
Best forPerformance-focused and efficientBattle-tested big data search
Pricing$$ (Free to custom/enterprise)$$$ (Free to custom/enterprise)
HQBerlin, GermanySunnyvale, USA
Founded20212017

Qdrant

A highly performant and efficient vector database written in Rust.

qdrant.tech

See full entry in The 11 Best Vector Databases (2026)

Vespa

Extremely powerful and mature, but complex to master for hybrid search.

vespa.ai

See full entry in The 11 Best Vector Databases (2026)

Methodology and scoring weights live at /methodology. No vendor pays for placement — see about.