About This Site
Fully managed, scalable vector database for enterprise AI applications. Zilliz provides a fully managed vector database management system, Zilliz Cloud, powered by the open-source Milvus. It is designed for enterprise-grade AI applications, supporting billion-scale vector search, Retrieval Augmented Generation (RAG), and large language models. Zilliz aims to simplify the deployment and scaling of vector search applications by eliminating the need for complex infrastructure management.
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Key Features AI
Core Features
Fully managed Milvus service
Billion-scale vector search
High performance (10x faster retrieval with Cardinal search engine)
Highly Scalable (up to 500 CUs, 100 billion items)
High Availability (99.95% monthly uptime)
Security & Governance (SOC2 Type II, ISO27001, RBAC)
Built-in Embedding Pipelines
Multi-Cloud availability (AWS, Azure, GCP)
AI Integrations
Comprehensive data management (migration, import, backup/restore)
Observability (metrics, alerts, monitoring)
Role-based Access Control
Advantages
Fully managed service reduces operational overhead.
Exceptional performance and scalability for billion-scale vector search.
Multi-cloud support across AWS, Azure, and GCP.
Robust security and compliance standards (SOC2 Type II, ISO27001, GDPR, HIPAA).
Flexible pricing options including a free tier and pay-as-you-go.
Backed by the popular open-source Milvus project.
Comprehensive features for data management, observability, and access control.
Built-in embedding pipelines simplify data preparation.
缺点：Optimizing for specific use cases can be complex due to multiple CU types and pricing models.
缺点：Requires a foundational understanding of vector databases and AI concepts for advanced configuration and usage.
缺点：Cost can scale significantly for very large datasets and high QPS requirements.
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