TL;DR — Quick picks
- Next.js: best for product-heavy SaaS, public-facing web apps, fast UI iteration. Default at Big Helpers for new builds.
- Laravel: best for admin-heavy SaaS, B2B internal tools, fast CRUD. Massive Indian dev pool.
- Django: best for data-heavy / ML-adjacent products, scientific or compliance-heavy domains. Slower hiring market in India.
The decision in 4 dimensions
1. Build speed (early stage)
| Framework | 0 → live MVP | Why |
|---|---|---|
| Next.js | 6–8 weeks | Single codebase web + API; Vercel deploy; shadcn/ui for fast UI |
| Laravel | 4–6 weeks | Filament/Nova admin scaffolding; Eloquent saves ORM time |
| Django | 5–7 weeks | Django admin out-of-box; battle-tested ORM |
Laravel wins for admin-heavy products (Filament generates 80% of admin CRUD). Next.js wins when the product is the public-facing UI (consumer SaaS, marketplaces).
2. Hiring market in India (2026)
| Framework | Junior dev (₹/mo) | Senior dev (₹/mo) | Pool size |
|---|---|---|---|
| Next.js / TypeScript | 50K–80K | 1.5L–3L | Large & growing fast |
| Laravel / PHP | 40K–70K | 1.2L–2.5L | Largest pool in India |
| Django / Python | 60K–90K | 1.8L–3.5L | Smaller (most Python devs in DS/ML now) |
Laravel has the largest Indian hiring pool. Next.js is growing fastest. Django talent is increasingly competing with ML/DS roles, pushing prices up.
3. Scaling beyond 100K users
All three scale fine to 100K MAU on a single Postgres + Redis setup. Past that:
- Next.js: Vercel/serverless scales horizontally automatically. Cold starts can hurt some workloads — move to AWS ECS for steady-state.
- Laravel: Octane (Swoole/RoadRunner) gives Node-like throughput. Battle-tested at scale (e.g. Statamic, Laravel Forge customers).
- Django: Async views maturing. Scales well horizontally; many of India's largest pure-Python apps still run Django.
4. Ecosystem & library availability for Indian context
| Next.js | Laravel | Django | |
|---|---|---|---|
| Razorpay SDK | Official | Community-maintained | Community-maintained |
| WhatsApp BSP SDKs | Most via REST | Most via REST | Most via REST |
| Tally / Zoho integrations | Build with Axios | Build with Guzzle | Build with requests |
| UPI gateways | Solid | Solid | Solid |
Tie. All three handle Indian integrations well — none are first-class, you build via REST.
Our pick by use case
| Use case | Pick | Why |
|---|---|---|
| Consumer SaaS / marketplace / public web app | Next.js | SSR for SEO, single TS codebase, modern UI patterns |
| B2B admin-heavy SaaS / internal tool | Laravel | Filament admin saves weeks; PHP hiring is easy |
| Data / ML-adjacent product (analytics, NLP) | Django | Same Python ecosystem as your ML team |
| WordPress-adjacent CMS / publisher | Laravel (or WordPress directly) | PHP ecosystem alignment |
| Mobile-first product with React Native client | Next.js (BFF pattern) | Shared TS types between web + RN |
| Stripe/Razorpay-heavy fintech | Next.js | Best Stripe SDK + webhook patterns |
For new MVPs at Big Helpers in 2026: Next.js 14 + Postgres + Tailwind for ~70% of builds. Laravel for admin-heavy B2B (~20%). Django for data/ML (~10%). All three are valid; pick by use case, not preference. See our MVP stack →
FAQ
What about Rails / Spring Boot / Go?
Valid, but smaller hiring pools in India. Rails is a great framework but Indian Ruby talent is thin. Spring Boot for enterprise Java shops only. Go for performance-critical microservices later, not for first MVP.
Can I mix frameworks?
Sometimes — Next.js frontend + Django backend for ML-heavy products is common. Adds devops complexity (two services to deploy, monitor). Worth it only when each side has a strong reason.
Last reviewed: 15 April 2026 · Compensation data from Bangalore/Mumbai 2026 Q1 surveys.
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