Object access, file access & analytics
Amazon S3 Vectors vs Azure AI Search
Amazon S3 Vectors has no Azure storage-layer equivalent.
The closest Azure service is Azure AI Search, a search engine with vector, hybrid, and keyword search. Azure Blob Storage doesn't offer vector indexes.
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon S3 Vectors | Azure AI Search |
| Lifecycle | Generally available | The product docs still say "Azure AI Search", but the Azure pricing page for it is now titled "Foundry IQ". |
| What it is | Vector buckets and vector indexes for storing embeddings and running similarity queries, with subsecond latency for infrequent queries (as low as about 100 ms for frequent ones). Integrates with Bedrock Knowledge Bases and OpenSearch. | Search and retrieval engine. Full-text, vector, and hybrid search, semantic ranker, integrated vectorization and AI enrichment (indexers and skillsets), and agentic retrieval. |
| Pricing model | Per GB-month of vector storage, plus per-request charges for uploads and queries. | Billed per search unit-hour by tier, plus semantic ranker and enrichment add-ons. |
| Docs | Amazon S3 Vectors docs | Azure AI Search docs |
| Pricing page | Amazon S3 Vectors pricing | Azure AI Search pricing |
| Exams | AIF-C01 SAA-C03 | AI-102 Retired AZ-305 |
Key differences
- Model. S3 Vectors is storage with built-in similarity queries, billed per use with no cluster. AI Search is a provisioned search service (billed per search unit) with much richer querying, including hybrid search, semantic ranking, filters, and agentic retrieval.
- Latency. S3 Vectors favors cost over speed (subsecond for infrequent queries, as low as about 100 ms for frequent ones). AI Search is built for interactive search latency.
- Integration. S3 Vectors plugs into Bedrock Knowledge Bases and can serve as a lower-cost tier for OpenSearch. AI Search plugs into Microsoft Foundry.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Per GB-month of vector storage, plus per-request charges for uploads and queries. Amazon S3 Vectors pricing →
- Azure
- Billed per search unit-hour by tier, plus semantic ranker and enrichment add-ons. Azure AI Search pricing →
Certification exam mapping
| Exam | Provider | Level | Status |
|---|---|---|---|
| AWS Certified AI Practitioner AIF-C01 | AWS | Foundational | current Italian and German versions retire after Oct 15, 2026 (per AWS cert page). |
| AWS Certified Solutions Architect – Associate SAA-C03 | AWS | Associate | current Italian version retires after Dec 31, 2026. |
| Microsoft Certified – Azure AI Engineer Associate AI-102 | Azure | Associate | retired Certification and renewal assessment are retired. |
| Microsoft Certified – Azure Solutions Architect Expert AZ-305 | Azure | Expert | current English version updated Apr 17, 2026. |
Relevance is based on each exam's published scope, not a line-by-line objective match. Check the official study guide.
FAQ
What is the Azure equivalent of Amazon S3 Vectors?
Amazon S3 Vectors has no Azure storage-layer equivalent. The closest Azure service is Azure AI Search, a search engine with vector, hybrid, and keyword search. Azure Blob Storage doesn't offer vector indexes.
How does pricing compare between Amazon S3 Vectors and Azure AI Search?
AWS: Per GB-month of vector storage, plus per-request charges for uploads and queries. Azure: Billed per search unit-hour by tier, plus semantic ranker and enrichment add-ons. Check the official pricing pages for current rates.
Which certification exams cover this topic?
AWS Certified AI Practitioner (AIF-C01); AWS Certified Solutions Architect – Associate (SAA-C03); Microsoft Certified – Azure AI Engineer Associate (AI-102) [retired]; Microsoft Certified – Azure Solutions Architect Expert (AZ-305).