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Reviewed · Updated 2026-06-17

Zilliz Cloud

Cloud-based vector database platform for AI search, retrieval, and analytics.

Reviewed by the Conversion Gems editorial team ·
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Pricing
Freemium
Best for
Developers
Category
AI Development
The bottom line

The gold-standard managed vector database for AI teams who want Milvus performance without infrastructure overhead.

8
Our score
8 / 10
Conversion Gems editorial verdict
Free tier; Dedicated from ~$70/mo
Features9/10
9 - best-in-class vector search, filtering, GPU acceleration, and multi-modal index support.
Value8/10
8 - free tier and serverless usage model are developer-friendly; Dedicated costs scale predictably.
Ease of use7/10
7 - good SDK and docs; understanding CU-hour billing requires initial learning curve.
Ecosystem8/10
8 - deep integrations with LangChain, LlamaIndex, AWS, GCP, Azure; strong open-source community.
Support7/10
7 - strong community docs and forums; enterprise SLA available on higher tiers.

Community ratings

4.7/ 5 aggregate · across 1 source
G2
4.750+ reviews

Third-party ratings shown verbatim; aggregate weighted by review volume.

What it really is

Zilliz Cloud — fully managed vector database (Milvus-as-a-service) for AI similarity search and retrieval.

Our take

Zilliz Cloud is the enterprise managed layer built on top of open-source Milvus — the dominant vector database for AI workloads. The DB lists $19/month as the entry price, which is inaccurate: Zilliz offers a free tier with 5 GB storage and 100 CU-hours, then usage-based Serverless billing at $0.096/CU-hour, with Dedicated clusters starting around $70/month. Developer & Technical categorization is correct.

Why we rate it

Milvus is the leading open-source vector DB; Zilliz Cloud removes all operational burden while maintaining full SDK compatibility — the natural managed choice for Milvus users.

The catch

Dedicated cluster costs scale quickly at high query volumes; GPU-accelerated search ($0.35–$1.20/GPU-CU-hr) adds up fast for compute-intensive workloads.

Best for
AI/ML teams building RAG and semantic search applications
Enterprises needing managed, compliant vector infrastructure
Startups prototyping AI apps using free tier credits
Not good for
Teams needing relational or graph database capabilities
Tiny projects that fit in a local vector extension
Cost-sensitive teams with large, sustained GPU workloads
Friction report
Time to value
Fast: free-tier cluster spins up in minutes; Milvus SDK documentation is extensive and mature.
Scale breakpoint
At 10M+ vectors with sustained query traffic, Dedicated cluster costs reach $250–$500/month.
Walled garden
Low: fully compatible with open-source Milvus SDK; data can be exported and self-hosted at any time.

Frequently Asked Questions

Alternatives

Step up

Zilliz Cloud Enterprise for dedicated infrastructure, compliance, and SLA guarantees.

Lighter alternative

Pinecone Serverless for a simpler managed vector DB with less configuration overhead.

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Tags

#VectorDatabase#RAG#SemanticSearch

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