Zilliz Cloud is a managed Milvus platform designed for production AI retrieval at scale. The core value proposition is that teams get the performance of a purpose-built vector database without operating the cluster themselves — provisioning, scaling, backups, and upgrades are handled by the service. Zilliz states the platform is production-tested across more than 10,000 enterprises over eight years and engineered to handle 100B+ entities and 10K+ QPS with consistent latency.
The platform has expanded beyond pure vector search into a broader "Vector Lakebase" concept, unifying real-time serving, on-demand discovery, and batch analytics over lake-native storage. Highlights include tiered architecture options (performance-optimized, capacity-optimized, and tiered-storage solutions), unlimited namespaces for multi-tenant AI apps, hybrid retrieval combining vector, BM25 full-text, JSON, and geospatial filtering with reranking, and an on-demand compute mode that bills per query rather than per provisioned capacity.
Zilliz supports multiple deployment paths: a fully managed SaaS on Zilliz Cloud, Bring Your Own Cloud (BYOC) where data stays in your VPC, migrations from other vector databases, and self-hosted open-source Milvus. It is available across cloud regions on AWS, Google Cloud, and Azure, with a developer hub, documentation, notebooks, and a community Discord for the Milvus ecosystem.
