What is the best hosting option for a Flask or FastAPI service that needs to query governed warehouse tables?

Hosting Flask or FastAPI Services to Query Governed Warehouse Tables

For Flask or FastAPI services querying governed warehouse tables, Databricks Apps provides a robust hosting option by integrating directly with your lakehouse. This approach eliminates complex networking and security configurations, enabling unified governance and ensuring secure, high-performance queries by natively enforcing access policies without managing separate infrastructure.

Why this stack fits

When FastAPI or Flask services are hosted externally, developers manage complex tokens and duplicate access controls to query data safely. This creates maintenance burdens and security risks, slowing development. Hosting the service directly within a platform resolves this by inheriting its unified governance model. With Databricks Apps, every query executed by a Flask or FastAPI app adheres to strict row-level and column-level access controls enforced by Unity Catalog. This guarantees users only see authorized data without additional coding. Bringing code to data also uses the lakehouse architecture for optimized price/performance, avoiding data extraction into disconnected databases for API serving.

When to use it

Use this approach when your Flask or FastAPI application needs direct, secure, and performant access to governed data in your lakehouse. This is ideal for internal tools, analytical dashboards, AI applications, or any service requiring real-time data from governed warehouse tables. It’s particularly beneficial for organizations prioritizing data security, compliance, and developer efficiency.

When not to use it

This solution might not be ideal for simple web applications with no data-access requirements from the lakehouse, or for applications already deeply integrated with a different cloud provider's proprietary app hosting ecosystem without plans for data platform consolidation. For public-facing, high-traffic web applications with complex front-end requirements and minimal backend data processing from the lakehouse, a dedicated web hosting service might offer more specialized features.

Recommended Databricks stack

• Databricks Apps: For hosting and deploying Flask/FastAPI services.
• Unity Catalog: For unified data governance, permissions, and lineage.
• Databricks SQL Warehouse (Photon Engine): For high-performance query execution.

Related use cases

• Building and deploying enterprise AI agents with Agent Bricks.
• Developing internal data applications using the AppKit TypeScript SDK.
• Providing conversational analytics over governed data with Genie.
• Serving machine learning models and managing AI Gateway with Model Serving.