Zilliz Cloud
vs
Milvus
Zilliz Cloud
Zilliz Cloud is a fully-managed vector database service, powered by the open-source Milvus. It is designed to provide enterprise-level vector search capabilities with enhanced speed, scalability, and performance. The platform eliminates the need to construct and maintain complex infrastructure, simplifying deployment and scaling of vector search applications.
Zilliz Cloud meets SOC2 Type II and ISO27001 standards and provides robust data protection. The platform supports Role-Based Access Control (RBAC) and offers 99.95% monthly uptime. It is available on AWS, Azure, and GCP across eight regions worldwide.
Milvus
Milvus is a high-performance, open-source vector database specifically engineered for Generative AI (GenAI) applications. It facilitates rapid search operations and can scale to accommodate tens of billions of vectors while maintaining optimal performance.
Milvus offers multiple deployment options to cater to various needs. These include Milvus Lite (a lightweight version for learning and prototyping), Milvus Standalone (a robust, single-machine deployment for production or testing), and Milvus Distributed (a scalable, enterprise-grade solution for handling billions of vectors). Additionally, Zilliz Cloud provides a fully managed Milvus service, offering enhanced performance and serverless or dedicated cluster options.
Zilliz Cloud
Pricing
Milvus
Pricing
Zilliz Cloud
Features
- Easy to Use: Establish a large-scale vector similarity search service in minutes.
- Optimized Milvus: Fully managed service built on Milvus with AUTOINDEX for enhanced efficiency.
- Blazing Fast: Enables 10x faster vector retrieval speed than Milvus.
- Highly Scalable: Easily scale the cluster to 500 CUs, serving over 100 billion items.
- High Availability: Offers 99.95% monthly uptime.
- Security & Governance: Meets SOC2 Type II and ISO27001 standards, supports RBAC.
- Built-in Embedding Pipelines: Converts unstructured data into searchable vector embeddings.
- Multi-Cloud: Available on AWS, Azure, and GCP.
- AI Integrations: Integrates with leading AI models and frameworks.
Milvus
Features
- Scale as needed: Scale elastically to support tens of billions of vectors with a fully distributed architecture.
- Blazing fast: Retrieve data quickly and accurately with Global Index, regardless of scale.
- Reusable Code: Write once, and deploy with one line of code into the production environment.
- Supportive Community: Fan-favorite vector database with extensive resources and supportive contributors.
- Feature-rich: Metadata filtering, hybrid search, multi-vector and more.
Zilliz Cloud
Use cases
- Retrieval Augmented Generation (RAG)
- Recommender System
- Text/Semantic Search
- Image Similarity Search
- Audio Similarity Search
- Video Similarity Search
- Question Answering System
- Molecular Similarity Search
- Multimodal Similarity Search
Milvus
Use cases
- RAG (Retrieval-Augmented Generation)
- Image Search
- Multimodal Search
- Hybrid Search
- Graph RAG
Zilliz Cloud
Uptime Monitor
Average Uptime
100%
Average Response Time
387.43 ms
Last 30 Days
Milvus
Uptime Monitor
Average Uptime
100%
Average Response Time
400.14 ms
Last 30 Days
Zilliz Cloud
Milvus
