Snowpark
SnowflakeAI & MLFree tier availableDeveloper framework for building data applications in Python, Java, and Scala that run inside Snowflake
FluffyStack toolsSub-services (3)
Snowpark DataFrames
DataFrame API in Python, Java, Scala for lazy SQL execution
UDFs and Stored Procedures
Python, Java, Scala UDFs running inside the warehouse
Container Services
Run long-running containers close to Snowflake data
Compliance & Certifications
This service is attested for the following frameworks. Always verify with the provider before relying on a specific compliance posture.
Where this runs
Sovereign regions (2)
- US East (Commercial Gov - N. Virginia) · AshburnSnowflake on AWS FedRAMP Moderate / DoD IL4 (US)
- US Gov West 1 (VPS) · San Francisco Bay AreaSnowflake on AWS GovCloud (FedRAMP High)
Commercial regions (25)
Europe (8)
- EU (Frankfurt)
- EU (Ireland)
- North Europe (Ireland)
- West Europe (Netherlands)
- Europe West 4 (Netherlands)
- Europe (London)
- UK South (London)
- Europe West 2 (London)
North America (10)
- Canada (Central)
- Canada Central
- US East (N. Virginia)
- US East 4 (Virginia)
- East US 2 (Virginia)
- US East (Ohio)
- US Central 1 (Iowa)
- Central US (Iowa)
- US West (Oregon)
- West US 2 (Washington)
South America (1)
- South America (São Paulo)
Asia (4)
- Asia Pacific (Mumbai)
- Asia Pacific (Tokyo)
- Asia Pacific (Singapore)
- Southeast Asia (Singapore)
Oceania (2)
- Asia Pacific (Sydney)
- Australia East (Sydney)
Tags
Equivalent services on other platforms
Next-generation SageMaker (rebranded SageMaker AI) unifying data, analytics, and AI in one workspace — Studio notebooks, HyperPod for foundation-model training at scale, Lakehouse with QuickSight + S3 Tables integration, AutoPilot AutoML, managed training jobs, hosted inference endpoints, and Feature Store, with re:Invent 2024 introducing the unified SageMaker AI workspace and 2025 Summit additions extending it with lakehouse auto-onboarding
End-to-end platform for building and deploying ML models with automated ML, designer (drag-and-drop), managed compute clusters, MLflow tracking, and responsible AI dashboards
Unified platform to build, deploy, and scale ML models with AutoML, custom training on TPUs and GPUs, model registry, pipelines, feature store, and generative AI studio