Technology · Backend
Runs the server side of apps: fast, scalable back ends that power your app, website and integrations.
How we use it
Node.js runs most of the back ends we build, from REST APIs and WebSocket tracking services to payment webhooks and background workers, written in TypeScript so types are shared with our front ends.
Official site: nodejs.org (opens in new tab)
Node.js runs the part of your product you never see: the server that stores orders, checks payments, sends notifications and talks to other systems. It uses JavaScript, the language of the web, so the same team can work on your app screens and the server behind them. For you, that means a responsive back end on modest hosting and fewer specialists to hire.
Most business back ends spend their time waiting on databases, payment gateways, SMS providers and courier APIs. Node.js handles that waiting efficiently, and one language across front end and back end keeps teams small.
Use cases
Versioned, documented APIs for apps and partners.
Live order tracking, chat and dashboards over WebSockets.
Verified, idempotent processing of gateway and courier callbacks.
Queues for notifications, invoices, imports and scheduled tasks.
Efficient handling of many simultaneous connections keeps apps responsive on modest infrastructure.
TypeScript types are shared between the server and the apps, so data errors are caught before release.
Official SDKs exist for most payment, messaging and cloud services, which shortens integration work.
Runs in containers or serverless setups on any major cloud.
Comparison
| Node.js | Python | |
|---|---|---|
| Typical strengths | APIs, real-time features, integrations | Data processing, ML, scripting |
| Shares code with web front ends | Yes, through TypeScript | No |
| Heavy computation | Needs workers or separate services | Strong library support |
| Frameworks we use | NestJS, Fastify, Express | FastAPI, Django |
Plain-English glossary
Services
Secure, documented REST and GraphQL APIs, plus integrations that connect your apps to payment, logistics, GST, messaging and business systems.
Browser-based products, customer portals, dashboards and internal tools, built on clean data models with secure roles and integrations.
Multi-tenant SaaS products with subscription billing, team roles, onboarding and usage analytics, from first MVP to paying customers.
Native and cross-platform Android and iOS apps, from first release through regular store updates, built by our in-house designers and engineers.
Solutions
Hyperlocal delivery apps linking neighbourhood stores, pick-up-and-drop requests and delivery partners within a city, with zone-based dispatch and pricing.
Rider app, driver app, dispatch engine and admin console for cab, auto, bike taxi, rental and outstation services, with UPI, cash and live tracking.
Multi-vendor marketplaces with seller onboarding, commission rules, split payouts, per-seller invoicing and catalogue moderation.
Support and sales chatbots for web, app and WhatsApp that answer from your own content and hand off to your team.
Work
Illustrative projects that show how we plan and build products that use Node.js. They are samples, not client work.
E-commerce & marketplaces
An illustrative ordering app for a distributor's retailers and sales team, with tier pricing, credit limits, trade schemes and GST invoicing.
Runs on
Built with
Business software
An illustrative SaaS for businesses running their own vehicles: live dispatch on a map, driver proof of delivery and per-trip billing for each customer.
Runs on
Built with
Industries
Industries whose typical builds with us include Node.js.
FAQ
Yes, when the system is designed for it. We run several stateless Node.js instances behind a load balancer, use Redis for caching, rate limits and WebSocket fan-out, and move slow tasks to queues so API responses stay fast. Load testing with realistic order patterns before launch shows where the real limits are.
It depends on size. For small services and webhook handlers, a lightweight framework such as Fastify or Express keeps things simple. For larger back ends with many modules, roles and developers, we prefer NestJS, because its structure, dependency injection and validation conventions make the codebase easier to navigate and hand over.
We validate every input at the API boundary, use parameterised database queries, keep secrets in a managed vault rather than in code, and apply rate limiting and proper authentication. Dependencies are pinned, audited and updated on a schedule, with automated alerts for known vulnerabilities. Logs avoid personal data where possible, and access to production is limited and recorded.
Related
Next step
Tell us which apps, partners and systems it must serve.
