Tech riderRev. 1 Oct 2026

Snowflake Feature Store

Ch 226.4of 33 Model Registry Software

1Runs onAPI, Web
2CostsNot stated by the maker
3Online storeYes
4Offline storeYes
5Point-in-time joinsYes
6Feature monitoringYes
7Deployment modelcloud
8Serving modesboth

7 lines stated Written from the maker's own pages: docs.snowflake.com, snowflake.com

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Overview

Snowflake Feature Store is ranked #22 of 33 in model registry software on Specifiction. It runs on API, Web.

Snowflake Feature Store plans and pricing

All plans

Standard Not published consumption-based core platform functionality · Snowpark · data sharing · optimized storage and Time Travel snowflake.com · 1 Oct 2026

Enterprise Not published consumption-based all Standard features · multi-cluster compute · granular governance and privacy controls · extended Time Travel snowflake.com · 1 Oct 2026

Business Critical Not published consumption-based all Enterprise features · Tri-Secret Secure · private connectivity · failover and failback snowflake.com · 1 Oct 2026

Virtual Private Snowflake Not published consumption-based all Business Critical features · completely separate isolated Snowflake environment snowflake.com · 1 Oct 2026

Compared on model registry software

Online store: Yesdocs.snowflake.com
Offline store: Yesdocs.snowflake.com
Point-in-time joins: Yesdocs.snowflake.com
Feature monitoring: Yesdocs.snowflake.com
Deployment model: clouddocs.snowflake.com
Serving modes: bothdocs.snowflake.com

Facts

Purpose: Snowflake Feature Store lets data scientists and ML engineers create, maintain, and use machine-learning features within Snowflake.docs.snowflake.com · 1 Oct 2026
Data support: It supports batch and streaming data with automatic updates as new data arrives.docs.snowflake.com · 1 Oct 2026
Point-in-time features: It supports backfill and point-in-time-correct features using ASOF JOIN.docs.snowflake.com · 1 Oct 2026
Transformations: Feature transformations can be authored in Python or SQL.docs.snowflake.com · 1 Oct 2026
Feature views: Snowflake-managed feature views refresh incrementally on a schedule, while external feature views are maintained by another process such as dbt.docs.snowflake.com · 1 Oct 2026
Integrations: The Feature Store integrates with Snowflake Model Registry and supports user-managed pipelines with dbt.docs.snowflake.com · 1 Oct 2026
Lineage: ML Lineage can trace data flow from source to feature to dataset to trained model and is automatically created when the Feature Store is used.docs.snowflake.com · 1 Oct 2026
Security: Data remains under Snowflake governance and does not leave Snowflake, with access managed through fine-grained role-based access control.docs.snowflake.com · 1 Oct 2026
User interface: Snowsight provides a Feature Store UI for searching and discovering features.docs.snowflake.com · 1 Oct 2026
API platforms: The Snowflake Feature Store Python API is part of the snowflake-ml-python package and can be used in a local Python IDE or in a Snowsight worksheet or notebook.docs.snowflake.com · 1 Oct 2026
Cost model: Snowflake-managed feature views use dynamic tables, while external feature views use views and incur no additional storage cost.docs.snowflake.com · 1 Oct 2026
Limits: Feature view versions have a maximum length of 128 characters, and Postgres-backed online serving limits combined feature-view name and version length to 46 characters.docs.snowflake.com · 1 Oct 2026
Compliance: Snowflake lists global certifications and attestations including ISO 27001, ISO 27017, ISO 27018, SOC 1 Type II, and SOC 2 Type II.docs.snowflake.com · 1 Oct 2026
Examples and support: Snowflake quickstarts are examples only and are not guaranteed for accuracy or covered by a Snowflake Service Level Agreement.docs.snowflake.com · 1 Oct 2026