Qdrant has announced the availability of its new Qdrant Hybrid Cloud, the dedicated vector database to be offered in a managed hybrid cloud model. With its run-anywhere self-service solution, Qdrant enables businesses to efficiently deploy and manage vector databases across any cloud provider, on-premise, or edge location. This ensures performance, security, and cost efficiency for AI-driven applications, as well as the ability for organizations to control and protect where and how sensitive data is used.

With its hybrid cloud offering — supported in any Kubernetes cloud environment and a growing number of platforms — Qdrant doubles down on its position as the vector database of choice for enterprise-grade AI applications. In addition to running on AWS, Google Cloud Platform and Azure, enterprises can run dedicated managed vector databases on Oracle Cloud Infrastructure (OCI), Red Hat OpenShift, Vultr, DigitalOcean, OVHcloud, Scaleway, STACKIT, Civo, and any other private or public infrastructure with Kubernetes support.

“Enterprises need to run their vector database applications in any environment with full control over their data, and Qdrant Hybrid Cloud is built to address exactly this,” said André Zayarni, CEO & Co-Founder of Qdrant. “With Hybrid Cloud, Qdrant takes the next step in enabling large enterprises to face complex challenges and better build and implement robust, next-gen AI applications while meeting strict risk and compliance standards.”

Qdrant Hybrid Cloud, whose innovative architecture ensures complete database isolation, allows customers to deploy a vector database in their chosen environment without sacrificing the benefits of a managed cloud service. It gives users and customers maximum control over their data and vector search workloads, enabling companies to unlock unprecedented opportunities to deliver personalized customer experiences in the era of AI while upholding privacy and data sovereignty.