Agent Platform Feature Store
Agent Platform Feature Store: A Google Cloud feature store with strong serving and monitoring, but a narrow ecosystem. Ranked #13 of 20 in Feature Store Software by our editors (7.7/10); pricing: Paid; best for google Cloud teams needing managed feature serving.
At a glance
- Editor score7.7 / 10
- PricingPaid
- Best forGoogle Cloud teams needing managed feature serving
- Free planNo
- Deployment modelCloud
- Facts checked22 Sep 2026
Where it wins
- BigQuery-backed offline storage with historical point-in-time retrieval
- Online serving through optimized infrastructure or Cloud Bigtable
- Feature monitoring includes statistics, scheduled jobs, and drift detection
Where it doesn't
- Cloud-only deployment limits platform flexibility
- Integration set centers on BigQuery, Cloud Bigtable, and Knowledge Catalog
- Optimized online serving is scheduled for sunset on February 17, 2027
Our verdict on Agent Platform Feature Store
Agent Platform Feature Store, documented as Vertex AI Feature Store, is a managed cloud service for organizing, storing, monitoring, and serving machine-learning features. It is aimed at mid-market and enterprise teams working in Google Cloud, with support for both offline training data and online inference. BigQuery tables or views provide the offline store, while online values can be served through Cloud Bigtable or optimized online-serving infrastructure. Feature groups, a feature registry, and feature views help organize registered features and BigQuery sources.
Pricing is structured around processing, serving, and storage resources. The Data processing node covers ingestion into online stores and monitoring. The Optimized online serving node supports low-latency serving and embeddings serving, with 200GB of storage per node. The Bigtable online serving node provides serving with Cloud Bigtable, while Bigtable online serving storage covers storage for that serving option. The published starting price is 0.08, and offline operations also incur applicable BigQuery charges. There is no free plan.
Feature workflows extend from training data preparation to production retrieval. Historical point-in-time feature retrieval supports training and batch prediction, while current-value serving supports online inference. Scheduled and manual monitoring jobs provide feature statistics and drift detection, and optimized serving adds embedding management and vector retrieval. The main fit is a Google Cloud team that wants managed feature storage and serving within a BigQuery and Bigtable-centered environment. Teams seeking a cloud-agnostic deployment model, a broader integration ecosystem, or a long-term dependency on optimized online serving should consider alternatives, especially because Google Cloud states that this serving option will be fully sunset on February 17, 2027.
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Agent Platform Feature Store pricing
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Agent Platform Feature Store fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Online store | Yes |
| Offline store | Yes |
| Point-in-time joins | Yes |
| Feature monitoring | Yes |
| Deployment model | Cloud |
| Serving modes | Both |
| Deployment | Cloud |
| Platforms | Web |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: BigQuery, Cloud Bigtable, Knowledge Catalog |
| Pricing | Paid (source) |
| Website | cloud.google.com |
| Facts checked | 22 Sep 2026 |
Agent Platform Feature Store integrations
Agent Platform Feature Store lists 3 integrations on its own site.
- BigQuery
- Cloud Bigtable
- Knowledge Catalog
Alternatives to Agent Platform Feature Store
- Hopsworks Feature StoreA governed feature store spanning training, serving, monitoring, and deployment.9.4
- FeastA broad, flexible feature store for teams managing training data and online inference.9.3
- ChalkAdvanced serving, versioning, and observability for production ML teams.9.0
See all Agent Platform Feature Store alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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