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Zilliz

Powering AI innovation with the fastest fully managed vector database.

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What is Zilliz?

Zilliz Cloud delivers high-performance, scalable, and secure vector search capabilities, enabling rapid AI application development with minimal operational overhead.

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Pricing

Freemium (Free to use with limited features)

Overview

Zilliz Cloud is a fully managed vector database service built on the open-source Milvus project, designed to accelerate AI application development by providing high-performance, scalable, and secure vector search capabilities. It simplifies the deployment and scaling of vector search applications, allowing developers to focus on innovation rather than infrastructure management.

Key Features

High-Performance Vector Search: Using the Cardinal search engine delivers over a 10x performance boost compared to Milvus, enabling lightning-fast vector retrieval.
Fully Managed Service: Eliminates the need for complex infrastructure management, providing a seamless experience for developers.
Multi-Cloud Deployment: Supports deployment on AWS, Azure, and GCP across multiple regions, ensuring flexibility and scalability.
Enterprise-Grade Security: Complies with SOC 2 Type II and ISO 27001 standards, offering robust data protection and governance.
AI Integrations: Seamlessly integrates with leading AI models and frameworks, transforming unstructured data into valuable assets.

Pros

Accelerated AI Development: Enables rapid development and deployment of AI applications with minimal operational overhead.
Scalability: Easily scales to handle large volumes of vector data, supporting over 100 billion items.
Cost-Effective: Offers a pay-as-you-go pricing model, ensuring cost efficiency for organizations of all sizes.
User-Friendly Interface: Provides an intuitive UI that simplifies the management of vector search applications.

Cons

Learning Curve: New users may require time to familiarize themselves with vector database concepts and configurations.
Region Availability: While expanding, certain features may be limited to specific cloud regions.

Use Cases

Retrieval-Augmented Generation (RAG): Enhance AI models by integrating external knowledge sources for more accurate responses.
Enterprise Search: Implement advanced search functionalities across large datasets to improve information retrieval.
Recommender Systems: Deliver personalized recommendations by analyzing user behaviour and preferences.
Anomaly Detection: Identify unusual patterns in data to preemptively address potential issues.
Image and Video Search: Enable visual search capabilities by indexing and querying multimedia content.

Frequently Asked Questions

What is Zilliz Cloud?

Zilliz Cloud is a fully managed, serverless vector database service built on the Milvus engine, designed to handle large-scale unstructured data for AI applications. It offers high performance, scalability, and ease of use, enabling developers to focus on building AI solutions without managing infrastructure.

How does Zilliz Cloud ensure cost-efficiency?

Zilliz Cloud employs a tiered storage system using DRAM, SSD, and object storage to automatically optimize data placement. This approach ensures fast access for active data while reducing costs for less frequently accessed information, achieving up to 50x cost savings compared to in-memory databases.

Is there a free tier available?

Yes, Zilliz Cloud offers a free tier that allows developers to explore its features without financial commitment. The free plan includes 5 GB of storage, 2.5 million vector compute units (vCUs) per month, and support for up to 5 collections, making it ideal for small-scale projects, prototyping, or learning purposes.