Comparison

Amazon SageMaker Feature Store vs Vertex AI Feature Store

On the evidence we track, Amazon SageMaker Feature Store leads this comparison with a composite score of 61/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Amazon SageMaker Feature Store61
Vertex AI Feature Store14
Score
Vioscale score
Amazon SageMaker Feature Store61 / 100medium · 62%
Vertex AI Feature Store14 / 100low · 3%
Pricing
Free tier
Amazon SageMaker Feature Store
Vertex AI Feature Store
Model
Amazon SageMaker Feature Storefreemium
Vertex AI Feature Storecommercial
Price level
Amazon SageMaker Feature Storelow
Vertex AI Feature Store
Starting price
Amazon SageMaker Feature Store$0.00
Vertex AI Feature Store
Transparent
Amazon SageMaker Feature Store
Vertex AI Feature Store
Integrations
Count
Amazon SageMaker Feature Store8
Vertex AI Feature Store2
Security
Fedramp
Amazon SageMaker Feature Store
Vertex AI Feature Store
Gdpr
Amazon SageMaker Feature Store
Vertex AI Feature Store
Hipaa
Amazon SageMaker Feature Store
Vertex AI Feature Store
Pci
Amazon SageMaker Feature Store
Vertex AI Feature Store
Reliability
Status page
Amazon SageMaker Feature Store
Vertex AI Feature Store
Market
Availability
Amazon SageMaker Feature StoreAvailable worldwide · Popular in US · HQ US
Vertex AI Feature Store

Capabilities

Feature-by-feature on the axes that matter for feature stores. “-” means undocumented, not absent.

Capabilities
Point in time correctness
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
Feature registry catalog
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
Streaming features
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
On demand transforms
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
Deployment model
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
Drift monitoring
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
Embeddings vector support
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
Multi cloud
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
RBAC governance
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
Lineage tracking
Amazon SageMaker Feature Store-
Vertex AI Feature Store-
Pricing model
Amazon SageMaker Feature Store-
Vertex AI Feature Store-

What each one is

The product in its own terms, so the numbers below have context.

Amazon SageMaker Feature Store

Leader

A unified storage system that enables organizations to manage machine learning features for both training and real-time inference. It supports separate offline storage for batch training and online storage for real-time predictions, while providing access controls, feature discovery, and synchronization across teams.

Independently observed

Vertex AI Feature Store

Vertex AI Feature Store provides centralized feature management capabilities by layering metadata and online serving functionality on top of BigQuery datasets. It enables teams to store, discover, share, and serve ML features without duplicating data, while supporting embeddings and vector similarity searches.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Amazon SageMaker Feature Store

Leader
from $0.00/secondUsage-basedFree tier

Usage-based pricing with per-second compute billing. Free tier includes 250 hours on ml.t3.medium for 2 months. Savings Plans available for committed usage.

  • On-DemandPay per second used, no commitment required
    • Per-second compute billing
    • Real-time inference
    • Batch transform
    • Feature monitoring
    • Data lineage
  • Savings PlansUp to 64% discount with usage commitment
    • Up to 64% savings versus on-demand
    • Flexible across instance families and regions
    • Automatic application to eligible usage
as of verify ↗

Vertex AI Feature Store

Pricing not documented yet.

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Amazon SageMaker Feature Store
Vertex AI Feature Store
CLI
Amazon SageMaker Feature Store
Vertex AI Feature Store
Deployment
Cloud / SaaS
Amazon SageMaker Feature Store
Vertex AI Feature Store

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Amazon SageMaker Feature Store

Leader
8 total
  • Apache Spark
  • Amazon S3
  • Amazon Redshift
  • AWS Lake Formation
  • Snowflake
  • Databricks Delta Lake
  • AWS CloudWatch
  • AWS Glue Data Catalog
Independently observed

Vertex AI Feature Store

2 total
  • BigQuery
  • Knowledge Catalog
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.