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November 20, 2025

Building a modern Full-Stack with React, FastAPI and Databricks Lakebase

A modern full-stack architecture is emerging with React, FastAPI, Databricks Apps, and Lakebase—enabling teams to build AI-powered applications on a single governed platform without pipelines, duplicated databases, or infrastructure overhead.

Building a Modern Full-Stack with React, FastAPI and Databricks Lakebase

Modern application development is reaching a breaking point. Teams want to ship products fast, experiment often, integrate AI everywhere, but the traditional full-stack model forces them to stitch together frontend, backend, databases, pipelines, and ML infrastructure across multiple clouds and tools.

Databricks is collapsing that complexity.

With React, FastAPI, Databricks Apps, and Lakebase, a Postgres-compatible OLTP database embedded directly into the lakehouse, engineering teams can now build, deploy, and govern full-stack, AI-powered applications on a single unified platform.

A New Application Stack: React + FastAPI + Lakebase

Databricks introduces a fundamentally different way to build full-stack systems:

  • React for modern, interactive UIs
  • FastAPI for high-performance backend services
  • Lakebase for low-latency OLTP, fully governed under Unity Catalog
  • Databricks Apps for serverless app deployment without managing infrastructure

This combination replaces the fragmented cloud-native stack (Kubernetes + RDS + feature stores + pipelines) with a single, AI-ready platform.

Why This Architecture Wins

Unified data, no pipelines
Your API and UI work directly against Lakebase, which syncs automatically with the lakehouse. OLTP, OLAP, and AI use the same governed data.

Familiar developer experience

Developers use standard tooling:

  • React + TypeScript
  • Python + FastAPI
  • Postgres libraries (psycopg2, asyncpg)

No proprietary database, no custom drivers.

AI-native from day one. The backend can call:

  • MLflow models
  • Vector search
  • Feature Store
  • RAG pipelines

All inside the same workspace.

Governance built in

  • Unity Catalog governs:
  • Database tables
  • API access
  • ML assets
  • Application permissions

Security becomes a default, not a project.

Serverless apps

Databricks Apps removes the need for Kubernetes, container orchestrators, or separate hosting.
Your app is deployed as a first-class workspace asset.

The Full-Stack Platform for the AI Era

Combining React, FastAPI, Lakebase, and Databricks Apps creates a stack where:

  • Data doesn’t move
  • Governance is consistent
  • AI is native
  • Infrastructure disappears
  • Developers stay in tools they already know

This is full-stack development reimagined for a world where applications must be data-intensive, AI-powered, and production-ready from day one, and at Qubika, we build these architectures end-to-end to help companies adopt this modern, unified way of delivering applications.

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Marco Luquer

By Marco Luquer

Solutions Engineer & Senior Data Scientist at Qubika

Marco Luquer is a Solutions Engineer & Senior Data Scientist at Qubika focused on Generative AI, LLMs, and production grade data pipelines on the Databricks Lakehouse. He partners with product and data teams to scope use cases, design scalable architectures, and deliver measurable outcomes

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