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Superblocks on Snowflake means your builders create apps while your data, inference, and storage stay within your existing Snowflake security boundary. Every query, every AI call, and every file operation runs on Snowflake — governed by your existing access controls and warehouse policies.

Platform mapping

Superblocks featureSnowflake serviceDescription
DatabaseSnowflakeEach app gets its own managed database on Snowflake with automatic schema migrations on deploy
InferenceSnowflake CortexClark AI runs inference through Cortex, burning down your existing Snowflake commitment and reducing Clark credit usage
App AISnowflake CortexRuntime AI features in deployed apps route through Cortex automatically
File StoreSnowflake StageEach app gets its own managed file storage on Snowflake Stage
Data queriesSnowflake WarehouseAPIs that query your data run compute on your Snowflake warehouse

What this means for your organization

Reuse your Snowflake governance. The access controls, role hierarchy, and warehouse policies you have already built in Snowflake apply automatically to every Superblocks app. No separate access control layer to maintain. Superblocks can integrate with Snowflake External OAuth so queries run under the user’s identity. Data stays in your security boundary. All application data, AI inference, and file storage remain on Snowflake infrastructure you already manage. No data leaves your approved security boundary for processing. One platform to observe everything. All app activity - queries, inference calls, file operations - runs on Snowflake services, so it shows up in your existing Snowflake observability and audit tooling. No blind spots from external services. Burn down your existing commitment. Inference, compute, and storage all run on Snowflake infrastructure, contributing to your existing Snowflake commitment and reducing Clark credit usage.

Get started

  1. Configure your database backend to use Snowflake
  2. Point Clark inference at Snowflake Cortex
  3. Set App AI to route runtime AI through Cortex
  4. Configure file storage to use Snowflake Stage
  5. Set up a Snowflake integration for warehouse queries