Zilliz Cloud is a fully managed vector database service from the creators of Milvus, now described as a Vector Lakebase. It stores, indexes and searches embedding vectors with low latency and high recall, and AutoIndex tunes search without manual work. Hybrid search covers sparse-dense and multi-vector queries. A Free plan includes 5 GB of storage, Standard starts at $0 per month on Serverless, and Enterprise starts at $197 per month on Dedicated clusters.
Zilliz Cloud serves AI engineers and platform teams who want vector search in production without running Milvus themselves. Startups and individuals can learn on the Free tier, while teams with prototypes use Standard and companies with production workloads choose Enterprise for its 99.95% uptime SLA, SSO, role-based access control and private networking. Regulated organizations in healthcare and finance are pointed to the Business Critical plan, which adds HIPAA eligibility, customer-managed encryption keys and priority incident response. Bring Your Own Cloud deployment suits groups with strict data residency needs.
The main use cases are retrieval-augmented generation applications, recommendation systems and anomaly detection, all of which depend on fast similarity search across large embedding sets. Teams generate vectors with their own models, choose a metric such as cosine, Euclidean or inner product, and query across multiple vector fields for multimodal results. Medical AI company OpenEvidence is cited as a customer. Deployments run on AWS, Azure or Google Cloud and can be bought through those marketplaces, and Standard and Enterprise both include a 30-day free trial for testing before committing.
