Zilliz
Fully managed Milvus vector database for enterprise AI applications.
What is Zilliz?
Zilliz is an enterprise-grade cloud AI platform offering a fully managed vector database built on top of Milvus, the most popular open-source vector database. It provides high-performance, serverless, and dedicated vector infrastructure designed to power advanced large language models and intelligent generative AI solutions. By utilizing specialized indexing options like bm25 zilliz optimizes hybrid search and retrieval-augmented generation (RAG) workflows. Whether you are building smart vector infrastructure alongside systems like MongoDB, or deploying embedding pipelines using models like text-embedding-3-small, Zilliz Cloud acts as a highly scalable alternative to platforms like Pinecone, Weaviate, and Qdrant to power the next generation of conversational apps like Perplexity and Google Bard.
Best Zilliz use cases by task, role, industry, and platform
These use cases show where Zilliz fits best, ranked by fit score before popularity or pricing.
Zilliz Pricing Plans
Compare Zilliz free options, Zilliz paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.
Free, Dedicated from $99/mo
5 GB storage (enough for 1M 768-dim vectors), 2.5M vCUs per month, and up to 5 collections.
Pay only for what you use, auto-scaling configuration, and up to 100 collections.
Clusters with use-case optimized CUs for development and testing. Up to 30-day free trial.
Custom infrastructure deployment on your cloud of choice with enhanced data control, security, and compliance.
Pricing updated:Jun 11, 2026
Zilliz AI Features
Zilliz Pros and Cons
Pros
- Blazing fast performance with sub-10 ms latency options
- Highly scalable to serve over 100 billion items across 500 CUs
- Guaranteed 99.95% monthly uptime SLA for production workloads
- Robust data security with RBAC, enterprise SSO, and auditing logs
Limitations
- Additional scalar fields beyond vectors may reduce overall CU capacity
- Extended-capacity CU plan experiences higher latency in the hundreds-ms range