Amazon SageMaker Feature Store
A managed repository for storing, sharing, and reusing machine learning features across your ML lifecycle
- Also known as
- amazon-sagemaker-feature-store
Available worldwide · Popular in: US
What is Amazon SageMaker Feature Store?
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.
Amazon SageMaker Feature Store pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
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-Demand
Pay-as-you-go pricing with no minimum fees or upfront commitments, charged per second for compute and per GB for data processing
- Per-second compute billing
- Real-time inference
- Batch transform
- Feature monitoring
- Data lineage
Savings Plans
Flexible usage-based pricing model with commitment to consistent usage levels, providing up to 64% cost reduction
- Up to 64% savings versus on-demand
- Flexible across instance families and regions
- Automatic application to eligible usage
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
Integrations (8)
Independently observed- Apache Spark
- Amazon S3
- Amazon Redshift
- AWS Lake Formation
- Snowflake
- Databricks Delta Lake
- AWS CloudWatch
- AWS Glue Data Catalog
Amazon SageMaker Feature Store alternatives
Other feature stores we track, ranked by the same independent score.
- Feastlow · 28%
- Feathrlow · 35%
- TectonReal-time data platform for production AI agentslow · 6%
- Featureformlow · 22%
- Hopsworks Feature StoreA platform for managing machine learning features, model artifacts, and real-time inference serving across the full ML lifecyclelow · 26%
- Vertex AI Feature StoreA metadata management layer for storing and serving machine learning features from BigQuery data sourceslow · 3%
Compare Amazon SageMaker Feature Store
Side by side against other feature stores, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Amazon SageMaker Feature Store, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 100 | 0.08 | 8.4 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Reliability | 50 | 0.07 | 3.7 | ✓ |
| Security posture | 30 | 0.07 | 2.2 | ✓ |
| Integrations | 27 | 0.04 | 1.1 | ✓ |
| Capabilities | 0 | 0.05 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 8 | mediumsource · 2026-08-19 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-19 · 75% |
Pricing
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-19 · 60% |