Can Node.js handle heavy data processing?

Not well, and we would rather say so. Sustained computation blocks everything else on the server. The usual answer is a separate Python or Go service handling that work, with Node calling it and staying responsive for everything your users are doing.

Should we use Express or NestJS?

NestJS suits larger applications and teams, because it enforces a structure everyone follows and scales past the point where conventions start to drift. Express and Fastify are lighter and better for smaller services where that structure is overhead.

Can Node.js connect to our existing database?

Almost certainly. Node has mature drivers for PostgreSQL, MySQL, MongoDB, SQL Server, and most others, so your existing data stays where it is. We often build a Node API in front of a database that is already running in production.

How do you manage npm package risk?

By using fewer packages than a typical project and checking the ones we do use. Dependencies are pinned to specific versions, audited automatically in the build, and reviewed for maintenance activity before adoption rather than after a problem.

Node.js
Development Services

Stateside Digitals provides Node.js development services, building the APIs and real-time systems behind web and mobile products, so one backend serves every front end you put in front of your customers.

Node.js is a runtime that lets JavaScript run on a server rather than only inside a browser. What defines it is how it handles waiting. Instead of tying up a thread for each request while a database answers, Node keeps a single loop moving through other work and returns to each task the moment its data comes back, which is a better use of a server.

For a business, that matters as soon as a lot of people use your product at the same time. A server built this way holds thousands of open connections on fairly modest hardware, because most of what an application does is wait on something else. It is also why Node suits live features, where connections stay open instead of closing after each request.

Handles Crowds Well

Thousands Of Connections At Once

Concurrency is what Node was designed around, so traffic spikes cost you far less server capacity than a thread-per-request setup.

Built For Real Time

Live Data Without Refreshing

Chat, order tracking, notifications, and live dashboards all rely on connections staying open, which is native behavior here rather than a bolt-on.

Fast To Get Moving

From Prototype To Production

A working API can exist within days, and the same codebase can mature into the production system instead of being thrown away later.

APIs For Web And Mobile

One backend serving your website and your apps together, so a change to business logic reaches every platform at the same moment.

Real-Time Features

Messaging, live location, collaborative editing, and instant notifications, where the value is entirely in how quickly something reaches a screen after it happens.

Integration Layers

A service sitting between your app and the payment, CRM, and shipping platforms it depends on, so failures stay contained in one place.

Node is built for work that spends most of its life waiting: database queries, calls out to third-party services, file uploads, and connections held open for live updates. Nearly every web and mobile backend is made almost entirely of that kind of work, which is why Node became a default choice for APIs serving apps and websites.

Where it struggles is sustained computation. Video encoding, bulk image processing, heavy analytics, and machine learning all block the single loop everything else depends on. That is not a reason to avoid Node, it is a reason to put that work somewhere else, usually a Python or Go service Node calls when it needs one. We draw that boundary before building.

We build on active LTS releases of Node with TypeScript throughout, using NestJS where a project needs structure and Fastify or Express where it does not. Data sits in PostgreSQL or MongoDB, accessed through Prisma, with Redis for caching and BullMQ for background jobs. Services ship in Docker to AWS or Google Cloud, documented with OpenAPI so your front-end team is never guessing.

Node.js
TypeScript
NestJS
Fastify
Express
PostgreSQL
MongoDB
Prisma
Redis
BullMQ
AWS
Google Cloud

TypeScript From The Start

LTS Versions Only

Dependencies Kept Audited

Load Tested Before Launch

Types are there from the first commit, so the contract between your API and the front end is checked by the compiler rather than in testing.

We build on active long-term-support releases, which is what keeps security patches arriving without an unplanned runtime upgrade.

Packages are pinned, audited in the build, and checked for maintenance activity before adoption rather than after an incident.

We test against your expected peak before release, so capacity is a number you know rather than something you discover on a busy day.

TypeScript From The Start

LTS Versions Only

Dependencies Kept Audited

Load Tested Before Launch

For the traffic most businesses see, comfortably. Node handles high volumes of concurrent requests on modest hardware, and scaling out is straightforward when you outgrow one instance. We load test against your expected peak before launch rather than after.

Node.js
Development Services