Launched in 2021
Pricing
Free trial
Free version

Zilliz is the company behind Milvus, the open-source vector database, and offers Zilliz Cloud as its managed cloud service. Zilliz Cloud enables developers and data teams to store, index, and search high-dimensional vector embeddings generated by AI and machine learning models. It is designed for use cases such as semantic search, recommendation systems, image and video retrieval, anomaly detection, and retrieval-augmented generation (RAG) pipelines. The platform abstracts infrastructure management, providing automated scaling, high availability, and performance optimization. Zilliz Cloud supports multiple index types and distance metrics, and integrates with popular AI frameworks and embedding model providers. It is available on major cloud providers and offers both serverless and dedicated deployment options. The underlying Milvus engine can also be self-hosted for teams that prefer on-premise or private cloud deployments. Zilliz targets AI engineers, ML practitioners, and enterprises building production-grade AI-powered applications.

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Target audience and deployment

  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • Self-hosted
  • API

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Pricing

Pricing details:
Free trial
Free version
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Key features

Fully managed vector database (Zilliz Cloud)Serverless and dedicated cluster deployment optionsHigh-dimensional vector similarity searchMultiple index types (HNSW, IVF, DiskANN, etc.)Automatic scaling and high availabilityMulti-cloud support (AWS, GCP, Azure)Milvus-compatible APIMetadata filteringRole-based access controlData encryption at rest and in transitPerformance benchmarking toolsSelf-hosted Milvus open-source option

Use cases

  • Build semantic search applications
  • Implement retrieval-augmented generation (RAG) pipelines
  • Power recommendation systems
  • Enable multimodal similarity search
  • Detect anomalies in high-dimensional data
  • Manage AI knowledge bases

Best for

  • AI engineers who need to deploy a scalable, managed vector database without managing infrastructure
  • ML practitioners who need to integrate similarity search into production AI pipelines
  • Enterprise architects who need high-availability vector search with dedicated resources and SLA guarantees
  • Startup developers who need a serverless vector database with a free tier to prototype AI applications

Integrations

Developer

Milvus, Python SDK, Node.js SDK, Java SDK, Go SDK

AI models included

OpenAI, Hugging Face, Cohere, LangChain, LlamaIndex

Databases

Spark, Kafka

Other

AWS, Google Cloud, Microsoft Azure