Zilliz Cloud, the most performant Vector Database, built on Milvus®
A fully managed vector database and data services, empowering you to unlock the full potential of unstructured data for your AI applications.
Get Started FreeSuperior Al-Powered Search
Optimal search strategies and zero manual tuning from AI-powered AutoIndex and Cardinal Search Engine
Smart Query Optimizer
Automated algorithm selection optimizes search performance and accuracy for each dataset
Optimization Suite
End-to-end optimizations across algorithms, systems, and hardware
High Performance & Scale
A cloud-native database with distributed architecture for on-demand scalability and cost-efficient growth
Tiered Storage
Automated storage tiering optimizes performance and cost, improving ROI
Uncompromising Security & Reliability
An enterprise-ready platform delivers reliable performance and enterprise-grade security
Multi-Cloud
Deploy your unstructured data on AWS, Azure, and Google Cloud across the globe
- AWS
- GCP
- Azure
Build faster with a comprehensive suite of vector database features
High Performance Vector Search
Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models.
Low Latency with High Recall
Instill confidence in your data with low latency and high recall, ensuring reliable and accurate real-time decision-making.
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Hybrid Search
Enable querying across multiple vector fields, supporting multimodal, sparse-dense, and dense-text combinations for more accurate results.
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Various Similarity Metrics
Choose the right similarity metric (Cosine, Euclidean, IP, etc) to improve the classification and clustering performance.
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Tunable Consistency
Gain flexibility with multiple consistency levels to align data accuracy and performance with your unique application needs.
Scale as Needed
Effortlessly scale horizontally with component-based architecture, ensuring peak performance and efficiency, regardless of workload fluctuations.
Reduce TCO with Cloud-Native Vector Search
While Milvus offers powerful vector search capabilities, it requires significant investment in skilled engineers, performance tuning, and ongoing maintenance.
Zilliz eliminates these costs through our innovative Cardinal search engine and management tools—reducing total cost of ownership by up to 70% and optimized for your use cases: Recommendation Systems, RAG Applications, or Anomaly Detection Systems.
Built for High-Performance Recommendations
Our platform delivers the high recall and fast response times your recommender systems need, while reducing costs through:
Data-aware indexing and hardware optimizations reduce storage and compute costs without sacrificing search performance
Streamlined APIs, automated deployment, and built-in features eliminate months of manual development and tuning typically needed for vector search
Automated upgrades, scaling, and monitoring ensures system reliability while eliminating operational maintenance
Recommender System
2yr TCO: Milvus vs. Zilliz Cloud
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Explore Our Pricing Plans
Offering multiple tiers and compute types, our scalable, pay-as-you-go pricing fits any budget and accommodates all types of workloads
Discover the best performance-price ratio in the market. See potential savings of up to 80% compared to other vector databases