Google Cloud → AWS and Azure
AWS and Azure equivalents of Vector Search
The closest AWS equivalent of Google Cloud Vector Search is Amazon Bedrock Knowledge Bases; on Azure, Foundry IQ (knowledge bases) and Azure AI Search.
About Vector Search
| Provider | Google Cloud |
|---|---|
| Status | Generally available |
| What it is | Managed approximate-nearest-neighbor vector search built on Google's ScaNN algorithm. |
| Documentation | docs.cloud.google.com |
| Pricing | Official pricing page |
Mappings (1)
| Capability | AWS | Match (GCP vs AWS) | Azure |
|---|---|---|---|
| Managed RAG / knowledge bases | Amazon Bedrock Knowledge Bases | Direct match | Foundry IQ (knowledge bases) Preview, Azure AI Search |
Managed RAG / knowledge bases Direct match
Bedrock Knowledge Bases maps to RAG Engine on Agent Platform, which ingests, chunks, embeds, and retrieves your data, using a managed Spanner-backed database or Vector Search and other vector stores.
- RAG Engine needs allowlisting in some regions for new projects (us-central1, us-east1, us-east4, europe-west1 per the docs).
- If you use the RAG Engine-managed Spanner instance, that Spanner instance is billed to you.
- For managed search with connectors and ranking out of the box, Agent Search is the alternative.