Written in Rust\, and it shows.
Qdrant is a vector database built for filtered search at scale — combining vector similarity with structured metadata filters efficiently\, which is where many vector stores slow to a crawl.
Filtered vector search is the common real-world case: find similar items\, but only in stock\, only in this category\, only under this price. Qdrant handles that well. The free-forever cloud cluster needs no card\, and the open-source version is fully capable.
Quick Information
Platform
Web
Pricing
Free + usage-based paid
API
Available
Category
Analytics
Pros and Cons
Pros
- Excellent filtered vector search
- Free-forever cloud cluster
- Fully capable open-source version
- Hybrid cloud on your own infrastructure
- Written in Rust for performance
Cons
- Standard and Premium rates not published
- Free cluster is small
- Self-hosting needs operational skill
- Minimum spend on Premium