Research & KnowledgeEvent: September 7, 2026
Qdrant published a comparison of embedded vector databases with Actian in a post.
Published
Signal category
Research & Knowledge
Quote
“Actian published a comparison of embedded vector databases last week. Qdrant.to/EDGE is in it.”
— Andre Zayarni|Qdrant team
Company
Qdrant
Composable high-performance vector search
- Industry
- Software Development
- Location
- Berlin, DE
- Company size
- 153 employees
Powering the next generation of AI applications with advanced and high-performant vector similarity search technology. Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data!
Founded 2021