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Head-to-head · Vector Databases

Cloudflare Vectorize vs Milvus

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Cloudflare Vectorize #5 in Vector Databases 8.9/10 Free plan Free plan✓ 1 of 3 features Visit Cloudflare
Milvus #6 in Vector Databases 8.8/10 Free plan Free plan✓ 3 of 3 features Visit Milvus

Cloudflare Vectorize leads on 0 checks, Milvus on 2, and 2 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 scoreCloudflare Vectorize · 8.9/10
  • Free planboth
  • Most featuresMilvus · 3 of 3

Cloudflare Vectorize scores higher on our rubric for vector databases: 8.9 against 8.8 out of 10; our editors rank them #5 and #6.

On deployment, Milvus gives you Both where Cloudflare Vectorize offers Cloud. Milvus offers hybrid search; Cloudflare Vectorize doesn't. Milvus offers sparse vectors; Cloudflare Vectorize doesn't.

Cloudflare Vectorize is the better fit for cloudflare Workers applications needing simple vectors. Milvus is the better fit for open-source teams needing maximum vector depth.

  • Cloudflare Vectorize fits best

    Cloudflare Workers applications needing simple vectors

  • Milvus fits best

    Open-source teams needing maximum vector depth

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 Cloudflare Vectorize 8.9/10 Visit ↗ Milvus 8.8/10 Visit ↗
At a glance
Editor score 8.9 8.8
Ranking #5 in Vector Databases #6 in Vector Databases
Best for Cloudflare Workers applications needing simple vectors Open-source teams needing maximum vector depth
Pricing model Free plan + paid Free
Starting price $5/mo Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud Cloud, Self-hosted
Support Community, Docs Community, Docs
Integrations 5 integrations 8 integrations
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Cloudflare Vectorize 1/3 · Milvus 3/3
Hybrid search — ✓ (best)
Metadata filtering ✓ ✓
Sparse vectors — ✓ (best)
Specs
Deployment Cloud Both
Maximum dimensions 1536 dimensions Not checked yet
Index types Not checked yet HNSW, IVF, FLAT, DiskANN, SCANN
SDK languages Go, TypeScript, Python Python, Go, Java, Node.js, C++
Our review
Pros
  • Free Workers tier with vector query and storage allowances
  • Metadata filtering, namespaces, and configurable distance metrics
  • Native integrations with Workers, Workers AI, R2, KV, and D1
  • 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++
Cons
  • Maximum vector dimensionality is 1,536 dimensions
  • No verified hybrid or sparse-vector search capabilities
  • Paid usage adds charges beyond included query and storage allowances
  • 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
Our verdict

Cloudflare Vectorize is a managed, globally distributed vector database for storing and querying machine-learning embeddings. It is designed for applications built with Cloudflare Workers, including semantic search, recommendations,…

Read the review →

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 →
  1. Cloudflare VectorizeVector Databases 8.9Free plan
  2. MilvusVector Databases 8.8Free plan

Strengths and trade-offs

  • Cloudflare Vectorize — where it wins

    • Free Workers tier with vector query and storage allowances
    • Metadata filtering, namespaces, and configurable distance metrics
    • Native integrations with Workers, Workers AI, R2, KV, and D1

    Where it doesn't

    • Maximum vector dimensionality is 1,536 dimensions
    • No verified hybrid or sparse-vector search capabilities
    • Paid usage adds charges beyond included query and storage allowances

  • 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
  • Cloudflare Vectorize8.9/10 · Free plan

    A focused vector database for Workers apps with simple pricing and metadata-aware search.

    Visit CloudflareFull verdict →
  • Milvus8.8/10 · Free plan

    A deep, flexible open-source choice for demanding vector and hybrid search workloads.

    Visit MilvusFull verdict →

More comparisons

All vector databases comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update