Agent Platform Feature Store

No phone app

5.8No. 11 of 15
in Feature Store Software
  • Recognised40% of the score33
  • Phone app26% of the score0
  • Documented20% of the score86
  • Free plan14% of the score0
Free plan
No
Runs on
api, Web

Summary

Agent Platform Feature Store is ranked #11 of 15 in feature store software on Samsung Mobile US Press. It runs on API, Web. There is no free plan.

Agent Platform Feature Store plans and pricing

All plans
New Agent Platform Feature Store (pay-as-you-go) Not published Usage-based; online operations are charged per node-hour, to the minute. Offline operations use BigQuery pricing. Data processing node: $0.08 / 1 hour · Optimized online serving node: $0.30 / 1 hour · Bigtable online serving node: $0.94 / 1 hour · Bigtable online serving storage: $0.000342466 / 1 gibibyte hour · Offline operations: BigQuery pricing cloud.google.com · 4 Oct 2026

Compared on feature store software

Free plan
Nocloud.google.com
Online store
Yescloud.google.com
Offline store
Yescloud.google.com
Point-in-time joins
Yescloud.google.com
Feature monitoring
Yescloud.google.com
Deployment model
cloudcloud.google.com
Serving modes
bothcloud.google.com

Facts

Purpose
It is a managed, cloud-native feature store for managing ML features and serving them online from BigQuery data sources.docs.cloud.google.com · 4 Oct 2026
Offline data
BigQuery tables and views form the offline store, so Feature Store does not provision a separate offline store.docs.cloud.google.com · 4 Oct 2026
Online predictions
It serves the latest feature values from BigQuery for online predictions at low latencies.docs.cloud.google.com · 4 Oct 2026
Feature registry
Registering data sources and feature columns in the Feature Registry is optional; registration supports selecting columns, combining sources, and monitoring statistics and drift.docs.cloud.google.com · 4 Oct 2026
Monitoring
Feature monitoring can run on a schedule or manually to retrieve statistics and detect anomalies such as feature drift.docs.cloud.google.com · 4 Oct 2026
Serving options
Bigtable online serving supports large data volumes but not embeddings; optimized online serving is deprecated and scheduled to sunset on February 17, 2027.docs.cloud.google.com · 4 Oct 2026
Data sync limit
Optimized online serving supports scheduled data sync but not continuous data sync; Bigtable online serving supports near-real-time continuous sync from BigQuery.docs.cloud.google.com · 4 Oct 2026
Embeddings
Google recommends its purpose-built Vector Search to efficiently store and serve embeddings.docs.cloud.google.com · 4 Oct 2026
IAM access control
IAM policies can control access to feature groups, online store instances, and feature views, with bindings for users, groups, domains, and service accounts.docs.cloud.google.com · 4 Oct 2026
Location constraint
Feature Store resources must be in the same region or multi-region as the BigQuery source, and dual-region bucket sources are unsupported.docs.cloud.google.com · 4 Oct 2026
Data retention
The online store has no data retention limit, while BigQuery retention limits or quotas may apply to the offline data.docs.cloud.google.com · 4 Oct 2026
Support and learning
The documentation links to Google Cloud Support, community forums, release notes, and tutorials with Colab and GitHub examples.docs.cloud.google.com · 4 Oct 2026

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Sources