Zilliz Cloud: High-Performance Vector Database for AI Applications

Zilliz Cloud is a fully-managed, serverless vector database service built on the open-source Milvus project and engineered by its creators. Designed for speed, scale, and enterprise-grade performance, it enables billion-scale vector similarity search with distributed, high-throughput capabilities. Ideal for developers, data scientists, and enterprises leveraging AI-driven applications like Retrieval Augmented Generation (RAG), recommender systems, semantic search, multimodal matching, and molecular similarity analysis, Zilliz offers seamless integration with leading AI models and frameworks across AWS, Azure, and GCP in eight global regions.

Key Features:

• Fully-managed vector database service with serverless architecture
• Supports billion-scale vector similarity search with distributed, high-throughput processing
• Powered by Milvus open-source project with enhanced performance via the Cardinal search engine (10x faster retrieval)
• Autoscaling and flexible cluster configurations including Serverless, Dedicated Standard, Dedicated Enterprise, and BYOC (Bring Your Own Cloud)
• 99.95% monthly uptime SLA
• Built-in embedding pipelines for transforming unstructured data into searchable vectors
• Advanced search capabilities: vector search, filtered search, range search, grouping search, hybrid search, full text search, and text match
• Comprehensive data security with SOC2 Type II, ISO/IEC 27001 compliance, GDPR & HIPAA readiness, encryption in transit and at rest, MFA, OAuth 2.0, and Enterprise SSO (Okta, Microsoft Entra, Google Workspace)
• Role-Based Access Control (RBAC) at organization/project levels and data plane granularity
• Cross-tier data migration with zero downtime support and compatibility with Milvus, Pinecone, Qdrant, Elasticsearch, OpenSearch, PostgreSQL, Tencent Cloud VectorDB, and more
• Robust observability: real-time dashboards, fine-grained metrics, customizable alerts (email, PagerDuty, Slack, Opsgenie, Lark, Webhook), Prometheus & Datadog integrations
• Developer-friendly tools including RESTful APIs, SDKs in Python, Java, Go, and Node.js, and the Zilliz Cloud Developer Hub with documentation
• Open-source contributions: Vector Transport Service (VTS) and VectorDBBench for benchmarking
• Free tier available with no credit card required (5 GB storage, 2.5M vCUs/month, up to 5 collections)
• $200 free trial credits for Proof of Concept validation and cost estimation via the Free RAG Cost Calculator
• Migration services and community support through GitHub, Discord, Reddit, and Twitter

Pricing: Zilliz Cloud offers a flexible pricing model with four tiers: Free Tier ($0/month), Serverless (pay-per-use from $0.3/GB per month), Dedicated Standard ($99/month with 30-day free trial), and BYOC for custom infrastructure needs. The platform also provides enterprise-level support options and technical contacts tailored to cluster type.

Conclusion: Zilliz Cloud stands out as a powerful, secure, and scalable vector database solution that combines open-source innovation with managed enterprise features—perfect for developers and organizations building next-generation AI applications requiring high-speed, reliable similarity search at massive scale.