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Head-to-head · Vector Databases

Milvus vs Zilliz Cloud

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Milvus #6 in Vector Databases 8.8/10 Free plan Free plan✓ 3 of 3 features Visit Milvus
Zilliz Cloud #8 in Vector Databases 8.6/10 Free plan · 30-day trial Free planFree trial✓ 3 of 3 features Visit 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

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

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
  • 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++
  • 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
Cons
  • 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
  • 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
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 →
  1. MilvusVector Databases 8.8Free plan
  2. Zilliz CloudVector Databases 8.6Free plan · 30-day trial

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

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update