Head-to-head · Vector Databases
Milvus vs Zilliz Cloud
Milvus leads on 0 checks, Zilliz Cloud on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreMilvus · 8.8/10
- Free planboth
- Free trialonly Zilliz Cloud
Milvus scores higher on our rubric for vector databases: 8.8 against 8.6 out of 10; our editors rank them #6 and #8.
On deployment, Milvus gives you Both where Zilliz Cloud offers Cloud.
Milvus is the better fit for open-source teams needing maximum vector depth. Zilliz Cloud is the better fit for managed Milvus-compatible cloud deployments.
- Milvus fits best
Open-source teams needing maximum vector depth
- Zilliz Cloud fits best
Managed Milvus-compatible cloud deployments
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Side by side
| Feature | Milvus 8.8/10 Visit ↗ | Zilliz Cloud 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.6 |
| Ranking | #6 in Vector Databases | #8 in Vector Databases |
| Best for | Open-source teams needing maximum vector depth | Managed Milvus-compatible cloud deployments |
| Pricing model | Free | Free plan + paid |
| Starting price | Free plan | — |
| Free plan | ✓ | ✓ |
| Free trial | — | 30 days |
| Deployment | Cloud, Self-hosted | Cloud |
| Support | Community, Docs | Docs |
| Integrations | 8 integrations | 10 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Milvus 3/3 · Zilliz Cloud 3/3 | ||
| Hybrid search | ✓ | ✓ |
| Metadata filtering | ✓ | ✓ |
| Sparse vectors | ✓ | ✓ |
| Specs | ||
| Deployment | Both | Cloud |
| Maximum dimensions | Not checked yet | 32768 dimensions |
| Index types | HNSW, IVF, FLAT, DiskANN, SCANN | FLAT, IVF_FLAT, IVF_SQ8, IVF_PQ, HNSW, DISKANN, AUTOINDEX, SCANN, HNSW_SQ, HNSW_PQ, HNSW_PRQ, IVF_RABITQ, SPARSE_INVERTED_INDEX, SPARSE_WAND |
| SDK languages | Python, Go, Java, Node.js, C++ | Python, Java, Go, Node.js, C++ |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Milvus is an open-source vector database for GenAI applications and similarity search. It suits teams building retrieval-augmented generation, image search, multimodal search, and large-scale production systems that need more than a single… Read the review → |
Zilliz Cloud is a fully managed Milvus service for building and operating vector search applications. It is aimed at teams developing semantic search, retrieval-augmented generation, recommendations, and multimodal retrieval workloads… Read the review → |
Strengths and trade-offs
Milvus — where it wins
- Supports dense, sparse, binary, hybrid, filtered, and reranked search
- Runs locally, with Docker, or across distributed Kubernetes deployments
- Offers broad index coverage and SDKs for Python, Go, Java, Node.js, and C++
Where it doesn't
- Self-hosted deployment places infrastructure and operations work on your team
- Its broad index catalog can make architecture decisions more involved
- Managed cloud is provided separately through Zilliz Cloud
Zilliz Cloud — where it wins
- Supports dense, sparse, binary, hybrid, and full-text search
- Includes filtering, reranking, backups, restore, and migration tools
- Offers SaaS and BYOC deployment with major cloud storage integrations
Where it doesn't
- Paid tiers use usage-based pricing rather than fixed subscription rates
- Cloud deployment may not suit teams seeking a self-hosted product
- Its broad feature set may exceed the needs of simple vector search projects
- Milvus8.8/10 · Free plan
A deep, flexible open-source choice for demanding vector and hybrid search workloads.
Visit MilvusFull verdict → - Zilliz Cloud8.6/10 · Free plan · 30-day trial
A capable managed vector database for teams building AI search applications.
Visit Zilliz CloudFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





