Cloud Equivalents

Object access, file access & analytics · AWS vs Google Cloud

Amazon S3 Vectors vs BigQuery vector search

Amazon S3 Vectors has no storage-native equivalent.

Low-cost vector storage on Google Cloud is usually BigQuery vector search; Vector Search on Agent Platform serves low-latency queries.

Partial match Use it to: Store large numbers of embeddings cheaply and query them for RAG and semantic search, without running a vector database.

Last verified: · Edit on GitHub · Report an error

Side-by-side comparison

Low-cost vector storage and similarity search: AWS vs Google Cloud side by side
AspectAmazon Web ServicesGoogle Cloud
ServiceAmazon S3 VectorsBigQuery vector search
LifecycleGenerally availableGenerally available
What it isVector 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.Store embeddings in BigQuery tables and run similarity search with the VECTOR_SEARCH function and vector indexes.
Pricing modelPer GB-month of vector storage, plus per-request charges for uploads and queries.BigQuery storage plus query compute (on-demand bytes processed or slots).
DocsAmazon S3 Vectors docsBigQuery vector search docs
Pricing pageAmazon S3 Vectors pricingBigQuery vector search pricing

Key differences

  • S3 Vectors stores vectors in a bucket type; BigQuery stores embeddings in tables and queries them with VECTOR_SEARCH.

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 →
GCP
BigQuery storage plus query compute (on-demand bytes processed or slots). BigQuery vector search pricing →

And on Azure?

Partial match Azure's equivalent is Azure AI Search. AWS vs Azure comparison →

FAQ

What is the Google Cloud equivalent of Amazon S3 Vectors?

Amazon S3 Vectors has no storage-native equivalent. Low-cost vector storage on Google Cloud is usually BigQuery vector search; Vector Search on Agent Platform serves low-latency queries.

How does pricing compare between Amazon S3 Vectors and BigQuery vector search?

AWS: Per GB-month of vector storage, plus per-request charges for uploads and queries. Google Cloud: BigQuery storage plus query compute (on-demand bytes processed or slots). Check the official pricing pages for current rates.

What is the Azure equivalent?

Azure AI Search (partial match). Amazon S3 Vectors has no Azure storage-layer equivalent.

Related AWS vs GCP comparisons

Official sources