# Amazon SageMaker Feature Store vs Feathr

**Leader by Vioscale score:** Amazon SageMaker Feature Store

| Attribute | Amazon SageMaker Feature Store | Feathr |
|---|---|---|
| **Vioscale score** | 60.5 (62% (medium)) | 52.4 (35% (low)) |
| activity.commits_last_30d | - | 0 |
| adoption.dependent_repos | - | 1 |
| adoption.github_stars | - | 1,938 |
| deployment.options | `{"cloud":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | 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. | A data engineering framework that enables teams to build feature transformations, register and catalog them centrally, and compute them correctly for AI training and production inference. It provides batch and streaming feature computation with integration to Databricks, Azure Synapse, and other data platforms. |
| features.capabilities | - | `{"multi_cloud":true,"pricing_model":"open-source-self-host","rbac_governance":true,"deployment_model":"self-hosted","drift_monitoring":true,"lineage_tracking":true,"streaming_features":true,"on_demand_transforms":true,"feature_registry_catalog":true,"embeddings_vector_support":true,"point_in_time_correctness":true}` |
| integrations.count | 8 | 6 |
| integrations.list | `[{"name":"Apache Spark"},{"name":"Amazon S3"},{"name":"Amazon Redshift"},{"name":"AWS Lake Formation"},{"name":"Snowflake"},{"name":"Databricks Delta Lake"},{"name":"AWS CloudWatch"},{"name":"AWS Glue Data Catalog"}]` | `[{"name":"Databricks"},{"name":"Azure Synapse"},{"name":"HDFS"},{"name":"Snowflake"},{"name":"PySpark"},{"name":"Spark SQL"}]` |
| language.primary | - | Scala |
| license.spdx | - | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"usage","plans":[{"free":false,"name":"On-Demand","summary":"Pay per second used, no commitment required","features":["Per-second compute billing","Real-time inference","Batch transform","Feature monitoring","Data lineage"],"components":[{"per":{"qty":1,"unit":"second"},"kind":"metered","amount":0.00004,"currency":"USD"}],"description":"Pay-as-you-go pricing with no minimum fees or upfront commitments, charged per second for compute and per GB for data processing","contactSales":false},{"free":false,"name":"Savings Plans","summary":"Up to 64% discount with usage commitment","features":["Up to 64% savings versus on-demand","Flexible across instance families and regions","Automatic application to eligible usage"],"commitment":"annual","description":"Flexible usage-based pricing model with commitment to consistent usage levels, providing up to 64% cost reduction","contactSales":false}],"summary":"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.","currency":"USD","freeTier":true,"sourceUrl":"https://aws.amazon.com/sagemaker/ai/pricing/","retrievedAt":"2026-08-19T09:07:38.229Z","startingPrice":{"unit":"second","amount":0.00004,"currency":"USD"},"billingPeriods":["month"]}` | `{"type":"open_source","summary":"Open source","freeTier":true,"sourceUrl":"https://feathr-ai.github.io/feathr/","retrievedAt":"2026-08-21T12:41:53.933Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | commercial |
| pricing.price_level | low | free |
| pricing.starting_price | `{"amount":0.00004,"currency":"USD"}` | - |
| pricing.transparent | yes | yes |
| release.cadence_days | - | 22 |
| release.history | - | `[{"url":"https://github.com/feathr-ai/feathr/releases/tag/v1.0.0","date":"2023-02-28T10:04:15Z","type":"stable","version":"v1.0.0"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v1.0.0-rc4","date":"2023-02-28T03:55:13Z","type":"prerelease","version":"v1.0.0-rc4"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.10.4-rc3","date":"2023-01-17T08:52:15Z","type":"prerelease","version":"v0.10.4-rc3"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.10.4-rc2","date":"2023-01-17T08:08:51Z","type":"prerelease","version":"v0.10.4-rc2"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.10.4-rc1","date":"2023-01-17T07:18:37Z","type":"prerelease","version":"v0.10.4-rc1"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.10.0-rc1","date":"2022-12-15T15:16:44Z","type":"prerelease","version":"v0.10.0-rc1"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.9.0","date":"2022-11-01T12:42:12Z","type":"stable","version":"v0.9.0"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.8.0","date":"2022-09-23T02:05:10Z","type":"stable","version":"v0.8.0"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.7.2","date":"2022-08-29T13:58:03Z","type":"stable","version":"v0.7.2"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.6.0","date":"2022-07-29T19:05:49Z","type":"stable","version":"v0.6.0"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.5.1","date":"2022-07-29T18:39:01Z","type":"stable","version":"v0.5.1"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.4.0","date":"2022-05-03T02:53:39Z","type":"stable","version":"v0.4.0"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.3.0","date":"2022-04-12T06:03:15Z","type":"stable","version":"v0.3.0"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.2.1","date":"2022-03-23T06:26:44Z","type":"stable","version":"v0.2.1"},{"url":"https://github.com/feathr-ai/feathr/releases/tag/v0.1.0","date":"2022-03-07T07:43:40Z","type":"stable","version":"v0.1.0"}]` |
| reliability.status_page | yes | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.vulnerabilities | - | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=feathr&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (Feature Stores)

| Capability | Amazon SageMaker Feature Store | Feathr |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Point in time correctness | - | ✓ |
| Feature registry catalog | - | ✓ |
| Streaming features | - | ✓ |
| On demand transforms | - | ✓ |
| Deployment model | - | Self hosted |
| Drift monitoring | - | ✓ |
| Embeddings vector support | - | ✓ |
| Multi cloud | - | ✓ |
| RBAC governance | - | ✓ |
| Lineage tracking | - | ✓ |
| Pricing model | - | Open source self host |

*Source: Vioscale. Generated 2026-09-01T15:16:44.171Z. "-" = undocumented, not absent.*