
Zilliz
Enterprise-grade managed vector database built on Milvus for AI applications
About Zilliz
Zilliz Cloud is a fully managed vector database service built on the open-source Milvus engine, designed for enterprise-grade AI and machine learning workloads. It offers high-performance vector similarity search with features like AutoIndex, hybrid retrieval, tiered storage, and multi-cloud deployment across AWS, Azure, and GCP.
Pros & Cons
Pros
- 10x better performance than standard Milvus with the Cardinal search engine
- Generous free tier with $100 credits lowers barrier to entry
- Built on the widely adopted open-source Milvus project with strong community
- Intelligent AutoIndex eliminates need to understand complex index configurations
- Multi-cloud support across AWS, Azure, and GCP with standardized pricing
- Tiered storage delivers up to 87% storage cost reduction
- Serverless option available for cost-effective small-scale workloads
Cons
- Dedicated cluster pricing is relatively expensive compared to some alternatives
- Documentation could be more detailed for advanced configurations
- Scalar field support is not fully mature
- Limited slow query analysis and debugging features
- Vendor lock-in concerns despite being built on open-source Milvus
Key Features
AutoIndex & Cardinal Search Engine
AI-powered indexing that automatically selects optimal search strategies with zero manual tuning
Hybrid Retrieval
Combines vector similarity search with keyword/scalar filtering for more accurate, context-aware results
Tiered Storage
Multi-tier storage architecture delivering up to 87% storage cost reduction for infrequently accessed data
Multi-Cloud Deployment
Deploy across AWS, Azure, and Google Cloud with standardized pricing and cross-region backup support
Dynamic Schema
Flexible field insertion, JSON data type support, and RESTful API interface for easy integration
Multi-Tenant Partition Keys
Data isolation and separation for multi-tenant applications with partition key support
Serverless Clusters
Pay-per-operation serverless option that scales automatically with zero infrastructure management
Enterprise Security
99.95% uptime SLA, encryption at rest and in transit, RBAC, audit logs, and compliance certifications
Pricing
- $100 in free credits (30 days)
- Serverless clusters
- Up to 2 free serverless clusters
- Community support
- Pay-per-operation billing
- Auto-scaling
- No infrastructure management
- Standard support
- Dedicated clusters
- Pay-as-you-go compute
- Standard support
- Storage at $0.04/GB/month
- 99.95% uptime SLA
- Advanced security features
- Priority support
- Cross-region backups
- Regulated industries
- Maximum resilience
- Enhanced compliance
- Dedicated support
- Audit logs
Best For
RAG Applications
Power retrieval-augmented generation pipelines by storing and querying document embeddings for LLM context retrieval
Semantic Search
Build intelligent search systems that understand meaning and context rather than just keyword matching
Recommendation Systems
Create personalized recommendation engines using vector similarity to find related products, content, or users
Image & Video Search
Enable visual similarity search across large media libraries using image and video embeddings
Anomaly Detection
Identify unusual patterns in high-dimensional data for fraud detection, security monitoring, and quality control
Similar Tools

Abacus.AI
The world's first AI super assistant for professionals and enterprises

Replicate
Run AI with an API

Cerebras
The world's fastest AI inference � 20x faster than GPU clouds

Chroma
The open-source AI-native vector database for search and retrieval

Vultr
High-performance cloud compute, GPU, and bare metal across 32 global data centers

RunPod
The end-to-end GPU cloud for AI workloads
Featured In
7 Best Vector Databases & Embedding Platforms for AI Apps (2026)
Best managed Milvus experience — 10x faster than self-hosted Milvus with AutoIndex and tiered storage, the natural upgrade path for teams already invested in the Milvus ecosystem
Vector Databases With the Best Filtering on Metadata (2026)
Best for teams that want Milvus's powerful metadata filtering with managed infrastructure — the operational ease of Pinecone with the filtering depth of Milvus.
Best Managed Vector Databases for LLM Apps (2026)
Best for enterprise RAG and AI teams operating at 100M+ vector scale who need maximum performance and tunability.