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Zilliz Cloud vector database, built on open-source Milvus, provides scalable and cost-effective vector search for GenAI apps.
Overview
Zilliz Cloud is a fully-managed vector database that scales to billions of vectors. Built on open-source Milvus, Zilliz Cloud delivers scalable and cost-effective vector search to power AI applications like RAG, enterprise search, image and video search, agentic workflows, recommender systems, and anomaly detection. It offers flexible deployment options--including Serverless, Dedicated Cluster (PAYG or Contract), and BYOC--for enhanced security and greater control. Zilliz Cloud also integrates with popular GenAI frameworks such as LangChain, LlamaIndex, and Haystack.
Highlights
- High performance and highly scalable. Offers sub-10ms search latency. A single cluster can serve up to billions of vectors.
- Flexible choices to achieve the best balance of performance and cost. Provides performance-optimized, capacity-optimized and extended-capacity cluster types to fit different workloads.
- Rich feature sets including metadata filtering, full-text search (BM25), range search, JSON index etc.
Details
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Delivery method
Deployed on AWS
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Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/unit |
|---|---|
Zilliz Cloud Usage (Each unit is 0.1 cent of usage) | $0.001 |
Vendor refund policy
Zilliz Cloud does not currently offer refunds. Please refer to the Acceptable Use Policy for the refund policy. https://zilliz.com/acceptable-use-policyÂ
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Support
Vendor support
Have questions about purchasing Zilliz Cloud? Please review pricing details at https://zilliz.com/pricing or contact us at https://zilliz.com/contact-sales .
Zilliz support has been continuously praised by customers. Review the SLA at https://zilliz.com/sla for more details. For technical help, please contact support@zilliz.com .
AWS infrastructure support
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In Software Development
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In Embeddings
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In Embeddings, Generative AI, Databases
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Vector Search Performance
Supports sub-10ms search latency with ability to serve billions of vectors in a single cluster
Metadata Filtering
Enables advanced filtering capabilities including metadata filtering, full-text search (BM25), range search, and JSON indexing
AI Framework Integration
Seamless integration with popular generative AI frameworks like LangChain, LlamaIndex, and Haystack
Deployment Flexibility
Offers multiple deployment options including Serverless, Dedicated Cluster, and Bring Your Own Cluster (BYOC) configurations
Open Source Foundation
Built on open-source Milvus vector database technology with scalable architecture for diverse AI application use cases
Vector Database
Low-latency vector database supporting multimodal media types including text and images
Search Capabilities
Advanced vector similarity search, hybrid search, and filtered search functionality
AI Model Integration
Optional integrations with multiple AI platforms including SageMaker, Bedrock, OpenAI, Cohere, Anthropic, and HuggingFace
Cloud Architecture
Cloud-native database with fault tolerance and serverless infrastructure
Programming Language Support
Accessible through multiple client-side programming languages for flexible implementation
Vector Search Capability
Advanced vector search library with distributed infrastructure for high-performance search operations
Filtering Mechanism
Supports advanced filtering capabilities with live index updates and keyword boosting for hybrid search
Scalability Architecture
Fully managed vector database infrastructure designed to handle search and retrieval at any scale
Security Compliance
Enterprise-grade security with SOC 2 Type II and HIPAA certification for data protection
AI Application Integration
Optimized for AI search, recommender systems, and Retrieval Augmented Generation (RAG) applications
Standard contract
No
No
Customer reviews
0 ratings
0 AWS reviews
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39 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
jasper w.
Fast Integration and Script-Friendly, Perfect for Efficient Index Construction
Reviewed on Nov 03, 2025
Review provided by G2
What do you like best about the product?
Fast speed and the ability to integrate model calls into index construction make it convenient for script writing and maintenance.
What do you dislike about the product?
The resources required for cluster deployment are quite numerous.
What problems is the product solving and how is that benefiting you?
The maintenance of the vector database ensures that I receive stable and efficient enterprise-level services for both semantic and keyword searches.
Jingjing F.
Blazing Fast and User-Friendly, But Full-Text Search Needs Improvement
Reviewed on Oct 31, 2025
Review provided by G2
What do you like best about the product?
The product stands out by combining exceptional ease of use with remarkable speed and full compatibility of the Milvus interface.
What do you dislike about the product?
The full-text search function is still not fully developed
What problems is the product solving and how is that benefiting you?
Automatic scalability and capacity adjustment
Hanlian L.
Active Community & Updates, but Lite/Standalone Versions Could Be Unified
Reviewed on Oct 31, 2025
Review provided by G2
What do you like best about the product?
Very active community support and continuous update with enhanced features,both infra-wise and algorithms wise
What do you dislike about the product?
having lite, standalone, distributed version may be too much, would be great if lite and standalone merged and provide dynamic adaptation within version
What problems is the product solving and how is that benefiting you?
it wrapped the data engineering work alot internally, that using milvus is more like a declarative experience. It accelerates our RAG and Agent development by releasing our focus from storage and storage-interaction side, that we could focus more on the business logic on the agent optimization.
MrBall J.
Powerful and Easy-to-Use Vector Database
Reviewed on Oct 31, 2025
Review provided by G2
What do you like best about the product?
It’s very easy to use and delivers powerful performance.
What do you dislike about the product?
The only issue is that the standalone deployment has a few too many dependencies.
What problems is the product solving and how is that benefiting you?
Zilliz makes vector data management much easier. It’s simple to use, delivers strong performance, and reduces our workload when building AI search features. The only challenge is that standalone deployment has quite a few dependencies.
peng x.
Easy to Use and Best Performance for Beginners
Reviewed on Oct 31, 2025
Review provided by G2
What do you like best about the product?
The advantage of zillizCloud lies in its ease of use. You can easily get started by signing up for an account on the page and using the available SDK, making it suitable for beginners. ZillizCloud also offers excellent performance; compared to other databases I have used, its performance is currently the best.
What do you dislike about the product?
The only thing that might be less satisfying for me is the price, but they offer a suitable free quota. Not bad.
What problems is the product solving and how is that benefiting you?
This provides crucial support for similar email functionality in our current business, solving our issues with RT (Real-Time Response), and enabling Zilliz to handle backup, maintenance, and related capacity scaling. This realizes serverless functionality.