Side by side
Deeploy vs Snowflake Feature Store
Both stand on model registry software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Deeploy combines AI inventory, governance frameworks, monitoring and deployment controls for organisations managing multiple AI systems. Seat minimums, soft system limits and custom pricing make plan fit important to confirm before adoption.
Visit Deeploy
Choose Snowflake Feature Store if your team builds ML features within Snowflake and needs batch or streaming updates, point-in-time joins, or automatic lineage. Consider how its feature-view name limits fit your setup, and note that Snowflake-managed views use dynamic tables while external views incur no additional storage cost.
Visit Snowflake Feature StoreThe facts
| Deeploy | Snowflake Feature Store | |
|---|---|---|
| Free plan | No | Not published |
| Open source | Not published | Not published |
| Runs on | API, Self-hosted, Web | API, Web |
| Lowest paid plan | Free or on request | Free or on request |
| Plans published | 3 | 4 |
| Maker | Not published | Not published |
| Website | deeploy.ai | docs.snowflake.com |
| On model registry software | #20 of 36 | #24 of 36 |
Deeploy: what it does well
- Central inventory for an organisation’s AI systems
- Frameworks align with EU AI Act, ISO 42001 and NIST AI RMF
- Real-time monitoring includes drift and performance alerts
- Supports approval workflows and compliance reviews
- Offers SaaS or self-managed hosting
What to know first
- Pricing is available only on request
- Core requires at least three seats
- Scale requires at least five seats
- Plans impose soft limits on AI systems
Snowflake Feature Store: what it does well
- Supports both batch and streaming data with automatic updates.
- Feature transformations can be written in Python or SQL.
- Supports backfill and point-in-time-correct features using ASOF JOIN.
- Integrates with Snowflake Model Registry and dbt pipelines.
- Automatically creates lineage from source data through trained models.
What to know first
- Feature view versions are limited to 128 characters.
- Postgres-backed online serving has a 46-character combined name and version limit.
- Snowflake-managed feature views use dynamic tables.
Alternatives to Deeploy Alternatives to Snowflake Feature Store The whole list