Vector DB Zilliz Cloud Expands to Microsoft Azure
Zilliz, the company behind the popular open-source vector database Milvus, announced the general availability of its Bring Your Own Cloud (BYOC) offering on Microsoft Azure. The move extends its managed service across all major cloud providers, giving developers building AI applications more infrastructure flexibility.
Zilliz was founded by Charles Xie, a former Oracle engineer who created Milvus, now the world's most popular open-source vector database. The company has raised over $113 million from investors including Aramco's Prosperity7 Ventures, Hillhouse Capital, and Temasek's Pavilion Capital. The Bring Your Own Cloud (BYOC) model separates the software's control plane, managed by Zilliz, from the data plane, which runs entirely within the customer's cloud account. This architecture ensures sensitive data and AI assets never leave the customer's security perimeter, addressing data sovereignty and compliance regulations like GDPR. With the Azure launch, Zilliz became the first managed vector database provider to offer a BYOC deployment across all three major cloud platforms: AWS, Google Cloud, and Microsoft Azure. This allows companies to avoid vendor lock-in and process AI workloads where their data already resides, cutting down on costly data transfer fees. Vector databases are the underlying infrastructure for many generative AI applications, particularly for Retrieval-Augmented Generation (RAG). They power semantic search, recommendation engines, and anomaly detection by storing and querying high-dimensional vector embeddings generated by machine learning models. The global vector database market was valued at over $2.5 billion in 2025 and is projected to grow at a CAGR of over 22%, fueled by the widespread enterprise adoption of AI. North America, particularly the U.S., currently dominates the market, accounting for the majority of the revenue share. For HR technology, this infrastructure can power semantic search across millions of resumes, build sophisticated workforce analytics tools, or create intelligent chatbots that understand the context of employee queries. The ability to process vast amounts of unstructured text and other data is critical for developing next-generation employee experience platforms.