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Head-to-head · Vector Databases

Cloudflare Vectorize vs Zilliz Cloud

  • Updated Oct 2026
  • Both researched from official sources
  • 5 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
Zilliz Cloud #8 in Vector Databases 8.6/10 Free plan · 30-day trial Free planFree trial✓ 3 of 3 features Visit Zilliz Cloud

Cloudflare Vectorize leads on 0 checks, Zilliz Cloud on 3, and 2 are even. Who comes out ahead on the 5 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
  • Free trialonly Zilliz Cloud
  • Most featuresZilliz Cloud · 3 of 3

Cloudflare Vectorize scores higher on our rubric for vector databases: 8.9 against 8.6 out of 10; our editors rank them #5 and #8.

Zilliz Cloud offers hybrid search; Cloudflare Vectorize doesn't. Zilliz Cloud offers sparse vectors; Cloudflare Vectorize doesn't. Zilliz Cloud leads on maximum dimensions: 32768 dimensions versus 1536 dimensions.

Cloudflare Vectorize is the better fit for cloudflare Workers applications needing simple vectors. Zilliz Cloud is the better fit for managed Milvus-compatible cloud deployments.

  • Cloudflare Vectorize fits best

    Cloudflare Workers applications needing simple vectors

  • 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 Cloudflare Vectorize 8.9/10 Visit ↗ Zilliz Cloud 8.6/10 Visit ↗
At a glance
Editor score 8.9 8.6
Ranking #5 in Vector Databases #8 in Vector Databases
Best for Cloudflare Workers applications needing simple vectors Managed Milvus-compatible cloud deployments
Pricing model Free plan + paid Free plan + paid
Starting price $5/mo —
Free plan ✓ ✓
Free trial — 30 days
Deployment Cloud Cloud
Platforms Web Web
Support Community, Docs Docs
Integrations 5 integrations 10 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Cloudflare Vectorize 1/3 · Zilliz Cloud 3/3
Hybrid search — ✓ (best)
Metadata filtering ✓ ✓
Sparse vectors — ✓ (best)
Specs
Deployment Cloud Cloud
Maximum dimensions 1536 dimensions 32768 dimensions (best)
Index types Not checked yet 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 Go, TypeScript, Python Python, Java, Go, 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, and full-text search
  • Includes filtering, reranking, backups, restore, and migration tools
  • Offers SaaS and BYOC deployment with major cloud storage integrations
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
  • 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

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 →

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. Cloudflare VectorizeVector Databases 8.9Free plan
  2. Zilliz CloudVector Databases 8.6Free plan · 30-day trial

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
  • 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