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Zilliz Cloud

Zilliz Cloud

Managed Milvus vector database for high-scale AI search and RAG apps.

Zilliz Cloud

About this tool

Zilliz Cloud is a fully managed vector database service built around Milvus, the open-source vector database for billion-scale similarity search. It helps developers build AI search, RAG, recommendation, retrieval, and semantic search systems without operating Milvus infrastructure manually. The platform is useful for founders and SaaS teams that need vector search at scale. It can power internal knowledge assistants, search products, AI agents, recommendation systems, ecommerce search, media search, and enterprise RAG applications where performance and reliability matter. Zilliz Cloud offers flexible pricing options, including serverless-style usage, dedicated resources, and enterprise deployments depending on workload requirements. Teams can start smaller and scale into production as data volume, traffic, and reliability needs grow. For FutureStack, Zilliz Cloud belongs in Developer Tools because managed vector databases are core infrastructure for modern AI applications. It is best for technical founders and developers who want Milvus-compatible vector search without managing clusters, scaling, and operational complexity themselves.

Best for

Managed Milvus, vector search, RAG, semantic retrieval, hybrid search, and AI data.

Key Features

  • Fully managed vector database built around Milvus
  • Designed for high-scale vector similarity search
  • Supports AI search, RAG, and retrieval workflows
  • Serverless, dedicated, and enterprise deployment options

Pricing summary

Flexible pricing with serverless, dedicated, and enterprise options. Exact costs depend on deployment, usage, and workload size.

Pricing

Free / Trial

Start testing managed Milvus-style vector search.

Free
  • Entry-level testing access
  • Managed vector database workflows
  • Good for prototypes
  • Milvus-compatible development
Popular

Serverless

Usage-based managed vector search for AI products.

Custom
  • Usage-based scaling
  • Vector search and retrieval
  • Good for RAG apps
  • Lower operational overhead

Enterprise

Custom vector database deployment for larger teams.

Custom
  • Custom pricing
  • Enterprise security options
  • Dedicated resources
  • Support for large-scale AI workloads

Other pricing notes

  • Pricing checked on 2026-07-14 from Zilliz's official pricing page.
  • Zilliz describes flexible pricing options for teams on different budgets.
  • FutureStack uses simplified tiers because actual cost depends on usage and deployment type.
Pricing last checked: July 2026Official pricing page

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