Berlin and New York, April 16, 2024 — quadrantthe leader in high-performance open source vector databases, today announced the availability of its new Qdrant Hybrid Cloud, the industry's first purpose-built vector database offered in a managed hybrid cloud model.
Qdrant enables enterprises to efficiently deploy and manage vector databases across any cloud provider, on-premises, or edge locations with a self-service solution that can run anywhere. This not only ensures the performance, security, and cost efficiency of AI-driven applications, but also the ability for organizations to control and protect where and how sensitive data is used.
Vector databases are emerging as a critical component for building AI-based (especially generative AI-based) applications. Qdrant Hybrid Cloud represents a major breakthrough in the field of vector search and enterprise AI, taking vector search applications to the next level and redefining the standard for enterprise-grade vector search and AI applications. It offers a rich set of features to optimize performance and excels at processing billions of vectors with unparalleled efficiency, scale, and memory safety.
Qdrant further strengthens its position as the vector database of choice for enterprise-grade AI applications with innovative hybrid cloud products supported on any Kubernetes cloud environment and a growing number of platforms. In addition to running on AWS, Google Cloud Platform, and Azure, enterprises can run Oracle Cloud Infrastructure (OCI), Red Hat OpenShift, Vultr, DigitalOcean, OVHcloud, Scaleway, STACKIT, Civo, and other private or public dedicated managed vectors. You can run the database. Infrastructure that supports Kubernetes.
“Enterprises need to run vector database applications in any environment with complete control over their data. Qdrant Hybrid Cloud is built to address exactly this,” said CEO and Co-Founder of Qdrant. said André Zayarni. “With Hybrid Cloud, Qdrant takes the next step in enabling large enterprises to better build and implement robust next-generation AI applications while facing complex challenges and meeting rigorous risk and compliance standards. .”
Qdrant Hybrid Cloud's innovative architecture ensures complete database isolation, allowing customers to deploy vector databases in the environment of their choice without sacrificing the benefits of managed cloud services. This gives users and customers maximum control over their data and vector search workloads, and gives businesses an unprecedented opportunity to deliver personalized customer experiences in the AI era while protecting privacy and data sovereignty. You can put it in. Rooted in Qdrant's commitment to open source principles, this strategic approach fosters new levels of trust and trust as companies navigate the evolving enterprise AI landscape.
“Qdrant Hybrid Cloud makes Qdrant a game changer in the vector database domain by enabling unparalleled deployment flexibility, ultra-low latency, and guaranteed data privacy and sovereignty. A new standard has been set for search and applications,” said Bastian Hoffmann, director of enterprise solutions at Qdrant.
Qdrant was recently named one of the hottest open source startups in 2023 by Runa Capital's ROSS Index. The vector database market is on a rapid growth trajectory, fueled by the integration of generative AI and search augmented generative (RAG). ) A technique for enriching large-scale language models using external, proprietary data. This growth is essential to expanding the generative AI market, and RAG is playing a key role in driving innovation, customized user experiences, and application diversity.
For more information about Qdrant Hybrid Cloud, please visit: qdrant.tech/blog/hybrid cloud.
About Qdrant
quadrant is a high-performance, scalable, open-source vector database and search engine essential for building next-generation AI/ML applications. Qdrant can handle billions of vectors, supports matching of semantically complex objects, and is implemented in Rust for performance, memory safety, and scalability.
Source: Qdrant
