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Amazon S3 Vectors vs Cloudflare Vectorize

Amazon S3 Vectors: Vector storage and similarity queries built into S3, trading latency for very low cost at scale. Cloudflare Vectorize: Globally distributed serverless vector index for Cloudflare Workers and Workers AI.

key differences

  • Amazon S3 Vectors is built for larger datasets (Multi-PB) than Cloudflare Vectorize (≤ 10 TB).
  • Only Amazon S3 Vectors has encryption at rest, role-based access, streaming ingest.
  • Only Cloudflare Vectorize has json.

choose amazon-s3-vectors for

  • +Cheap long-term store for RAG embeddings
  • +Agent memory at very large scale
  • +Archive tier behind a faster vector engine
  • +Bedrock Knowledge Bases backend

best at · Vector search, RAG

choose cloudflare-vectorize for

  • +RAG chatbots on Cloudflare Workers
  • +Semantic search for edge-hosted sites
  • +Per-tenant knowledge bases in Workers apps

best at · Vector search, RAG, Edge

Amazon S3 VectorsVector storage and similarity queries built into S3, trading latency for very low cost at scale.
Cloudflare VectorizeGlobally distributed serverless vector index for Cloudflare Workers and Workers AI.
overview
Primary model
Vector
Vector
Also supports
Object
–
Type
Managed service
Managed service
Status
Active
Active
Developer
Amazon Web Services
Cloudflare
First release
2025
2023
Latest version
–
–
License
ProprietaryProprietary (AWS service)
ProprietaryProprietary (Cloudflare service)
Free tier
—
✓
popularity
WhichDB Score
2.1
0.4
Rank
#491
#645
GitHub stars
–
–
Stack Overflow questions
–
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Medium (≤ 10 TB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
Serverless, Shared storage
Serverless, Distributed
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
✓
Clouds
AWS
Cloudflare
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
✓
✓
Full-text search
—
—
Vector search
✓
✓
Geospatial
—
—
JSON
—
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
✓
—
Role-based access
✓
—
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
S3 Vectors API (QueryVectors with metadata filters)
Vectorize Workers binding API, REST API
Client languages
AWS SDKs (Python, Java, JavaScript, Go, .NET, Rust)
JavaScript, TypeScript, Python (Workers)
Best for
Vector search, RAG
Vector search, RAG, Edge
Add more to this comparisonNot sure either fits? Try smart match

Amazon S3 Vectors vs Cloudflare Vectorize: FAQ

What is the difference between Amazon S3 Vectors and Cloudflare Vectorize?

Amazon S3 Vectors: Vector storage and similarity queries built into S3, trading latency for very low cost at scale. Cloudflare Vectorize: Globally distributed serverless vector index for Cloudflare Workers and Workers AI. Amazon S3 Vectors is built for larger datasets (Multi-PB) than Cloudflare Vectorize (≤ 10 TB). Only Amazon S3 Vectors has encryption at rest, role-based access, streaming ingest. Only Cloudflare Vectorize has json.

When should I choose Amazon S3 Vectors over Cloudflare Vectorize?

Choose Amazon S3 Vectors for cheap long-term store for RAG embeddings, agent memory at very large scale and archive tier behind a faster vector engine. Choose Cloudflare Vectorize for RAG chatbots on Cloudflare Workers, semantic search for edge-hosted sites and per-tenant knowledge bases in Workers apps.

Is Amazon S3 Vectors or Cloudflare Vectorize more popular?

Amazon S3 Vectors ranks #491 on the WhichDB Score (2.1/100) and Cloudflare Vectorize ranks #645 (0.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon S3 Vectors and Cloudflare Vectorize open source?

No. Amazon S3 Vectors is proprietary, closed-source software. No. Cloudflare Vectorize is proprietary, closed-source software.