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Node.js

Node.js is the ideal environment for full-stack TypeScript projects where the JavaScript team can also contribute to the backend. We build services at different scales with Express, Fastify and NestJS.

Features

  • Non-blocking I/O & event loop
  • npm / pnpm ecosystem
  • NestJS, Express, Fastify
  • Prisma & Drizzle ORM support
  • WebSocket & Server-Sent Events
  • CPU tasks with Worker Threads

Use Cases

  • REST & GraphQL APIs
  • Webhook and event processing
  • BFF (Backend for Frontend) layer
  • CLI tools and automation
  • Real-time chat & notification systems

Deep Dive

Backend with Node.js

Node.js is an open-source runtime that runs JavaScript server-side using Chrome's V8 engine. Its asynchronous, event-driven architecture delivers outstanding performance in applications requiring high concurrency - especially real-time APIs, webhook handlers and streaming services.

At Detartech we use Node.js particularly in TypeScript monorepos and full-stack JavaScript projects. We build enterprise-grade extensible APIs with NestJS, and lightweight microservices and BFF (Backend for Frontend) layers with Express/Fastify. We provide type-safe database access with Prisma or Drizzle ORM.

Where does Detartech use Node.js?

The selection rule we describe on our backend scaling service page is clear: when the application workload is I/O-heavy, we use Node.js. Biletico is an example of this rule: the children's event ticketing platform runs on Next.js and Node.js, with Redis in the cache layer, MongoDB on the data side and a delivery pipeline automated with Jenkins. When the interface and the server are written in the same language, the same team can work on both sides, which makes maintenance easier after handover.

When is Node.js the right choice?

Node.js is a fast and sustainable choice when most requests spend their time waiting on a database, an external service or a file, when real-time updates and many concurrent connections are involved, and when the team already builds the interface in TypeScript. Layers that talk to external services, such as webhook receivers and payment or notification integrations, fit this description too.

When is Node.js not the right choice?

When the weight of the work is in the data model and admin screens, Python and Django deliver faster; when transaction complexity, role structure and enterprise integration are decisive, we build the backend with .NET. Heavy computations that keep the CPU busy for long can also block Node.js's single-threaded event loop; such tasks need to be taken out of the request path and moved to a queue or a separate service.

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