Zilliz
Zilliz Cloud is a fully managed Milvus-based vector database offering billion-scale similarity search, multi-cloud serverless and distributed clusters, SDKs and APIs, embedding pipelines, AUTOINDEX/Cardinal acceleration, RBAC, and observability for RAG and semantic search.
Disclaimer: Visionary Hub is not affiliated with, endorsed by, or the operator of this tool. All trademarks, logos, and content are the property of their respective owners. Full disclaimer available here
Key Features
Managed Service
Fully managed Milvus-based vector database simplifies deployment and maintenance.
Embedding Pipelines
Built-in pipelines prepare and transform data into searchable vector embeddings.
Security & Compliance
Supports RBAC with SOC2 Type II and ISO27001 certifications for data protection.
High Availability
Offers 99.95% monthly uptime SLA ensuring reliable service performance.
Get Started
Share & Save
Share on Social Media
Why Choose Zilliz
Scalability:
Supports up to 100 billion vectors and 500 compute units for large-scale applications.Performance:
AUTOINDEX and Cardinal engine deliver fast, low-latency vector retrieval.Multi-Cloud:
Available on AWS, Azure, and GCP with serverless and distributed cluster options.
Pricing
Zilliz offers a freemium pricing model with a free tier and paid plans. Pricing starts from $7 per million vectors/month for tiered-storage, $20 for capacity-optimized, and $65 for performance-optimized plans. Serverless options start at $0/month, with dedicated plans from $99/GB/month and enterprise plans from $155/month.
About Zilliz
Zilliz Cloud is a fully managed Milvus-based vector database offering billion-scale similarity search, multi-cloud serverless and distributed clusters, SDKs and APIs, embedding pipelines, AUTOINDEX/Cardinal acceleration, RBAC, and observability for RAG and semantic search.
What Zilliz Does
Zilliz Cloud offers a fully managed vector database service that enables billion-scale vector similarity search and retrieval for AI applications. It benefits users by simplifying deployment and scaling of vector search infrastructures across multiple cloud providers.
Key features include AUTOINDEX-optimized indexing for balanced recall and performance, the Cardinal search engine for accelerated retrieval, and built-in embedding pipelines for data preparation and transformation. It provides SDKs for Python, Java, Go, and Node.js, REST APIs, and supports RBAC security with compliance certifications.
Typical use cases span Retrieval-Augmented Generation, multimodal semantic search across text, images, and audio, real-time personalized recommendations, and AI agent support in industries like e-commerce, media, and molecular research.
Pros & Cons
Enterprise-Grade
Designed for high availability, security, and compliance in enterprise environments.
Developer Friendly
Provides SDKs and REST APIs for easy integration with existing AI frameworks.
Complex Pricing
Multiple pricing tiers and plans may require careful cost estimation.
Specialized Use
Primarily suited for vector similarity search, limiting general database use cases.
Frequently Asked Questions
Zilliz Cloud provides SDKs for Python, Java, Go, and Node.js, plus REST APIs.
Plans include a free tier and paid options starting from $7 per million vectors per month.
Yes, it supports RBAC and complies with SOC2 Type II and ISO27001 standards.
Yes, it supports serverless deployments on AWS, Azure, and Google Cloud Platform.
Use cases include RAG systems, semantic search, multimodal search, and recommendation engines.
Similar Tools You Might Like
Discover more AI-powered tools that complement your workflow
List Your AI Tool & Reach Thousands of Users
Join 500+ AI innovators already thriving on our platform. Get visibility, feedback, and boost your conversions.
Expand Your Audience
Connect with over 50,000 AI enthusiasts actively looking for tools like yours.
Boost Your Authority
Get verified reviews and ratings to build credibility in the AI marketplace.
Drive Conversions
Our premium placements and targeted audience deliver quality leads and sign-ups.