Question 1

Should we choose Django, Flask, or FastAPI for our Python backend?

Accepted Answer

Django wins when the application is model-heavy, needs an admin panel, has role-based access, and does reporting or workflow work — the batteries-included framework saves weeks of custom code you would otherwise write on Flask or FastAPI. Flask still fits micro-services and tiny APIs where Django's opinionation is overkill. FastAPI wins on pure async microservices — an ML inference endpoint, a webhook processor, a lightweight gateway — where Pydantic-first validation and no ORM overhead are genuinely useful. On most business web apps we ship, Django is the default because its ORM, admin, migrations, and permissions framework are more mature than anything Flask or FastAPI ship out of the box.

Question 2

Do you build APIs with Django REST Framework or GraphQL?

Accepted Answer

Both — we default to Django REST Framework because it is mature, well-documented, and ships browsable API docs, OpenAPI schema generation via drf-spectacular, permission classes, throttling, and pagination out of the box. We add GraphQL (Strawberry for typed Python 3.12 or Graphene for legacy compatibility) when the front-end team wants a single flexible endpoint or when the domain has deeply nested data the client wants to query selectively. Most Fruxinfo Django engagements ship a DRF API; roughly one in four adds GraphQL alongside for a specific front-end team.

Question 3

Can Django scale to hundreds of thousands of users?

Accepted Answer

Yes — Instagram, Pinterest, Disqus, and Sentry all scaled past that mark on Django. The bottlenecks on a real Django app almost always sit in the database, the N+1 query patterns, and the synchronous request handling — not the framework itself. We ship Django with PostgreSQL tuned for connection pooling (pgbouncer), select_related and prefetch_related discipline in every queryset, Redis caching on hot views, materialised views for expensive reports, and Celery for anything slower than 100 ms. With that discipline, a single Django ECS Fargate service on modest hardware handles thousands of RPS. If the workload is real-time WebSockets, we pair Django with a Node.js or Django Channels layer rather than fighting the framework.

Question 4

Can Django power a modern React, Next.js, or React Native front-end?

Accepted Answer

Yes — this is the most common Fruxinfo Django engagement. Django owns the data, admin, permissions, business logic, and background jobs. Django REST Framework or GraphQL exposes a typed API. The front-end is Next.js for the public site, React or a Next.js dashboard for the logged-in app, and React Native or Flutter for the mobile client. Authentication uses JWT (simplejwt) or session cookies bridged from Django. TypeScript types on the front-end are generated from the OpenAPI schema so the API contract stays honest. This split lets you modernise the visitor-facing experience without giving up Django's admin and ORM leverage on the back-end.

Question 5

How does async work in Django, and when do we need Django Channels?

Accepted Answer

Django has been ASGI-capable since 3.0 and gained proper async views, ORM, and middleware through 4.0 and 4.1. In 5.x, most of the standard toolchain has an async equivalent — you can write async views, use async ORM queries, and run async middleware. Django Channels is a separate layer that adds WebSocket support, background consumers, and channel layers backed by Redis — you need it only when the app has real-time features like chat, presence, live notifications, or collaborative editing. For a plain request-response app, sticking with sync Django plus Celery for background work is simpler and easier to hire for.

Question 6

Do you customise Django Admin into a real internal tool?

Accepted Answer

Yes — one of the reasons we recommend Django on admin-heavy projects is that the built-in admin is a genuine internal-tools UI after modest customisation. We standardise on either Django Admin with Unfold or Grappelli theming for a modern look, or Wagtail's admin for editorial workflows. Customisation typically covers filters, inline formsets, custom actions, dashboard widgets, role-scoped views, audit-log integration, and export buttons for CSV, Excel, and PDF. For teams that outgrow Django Admin, we build a bespoke React or Next.js admin console on top of the same DRF API — but 70 percent of our clients stay on a customised Django Admin for years.

Question 7

How much does a custom Django build cost in India?

Accepted Answer

A compact Django plus DRF internal tool with 8-15 models, a customised admin, and a working API typically starts at around INR 1.5 lakh. A reporting portal with role-based access, exports, and a light front-end sits in the INR 3-8 lakh range. A production SaaS on Django with multi-tenant data, billing, RBAC, and a real React or Next.js front-end lands between INR 8-25 lakh. Enterprise builds with SOC 2 posture, HIPAA controls, or heavy integrations sit above INR 25 lakh. For US clients, brackets are USD 4,500 / 10,000-25,000 / 25,000-75,000 respectively. We quote fixed-scope after a discovery call.

Question 8

Should we use Celery, RQ, or Django-Q for background jobs?

Accepted Answer

Celery is our default on any production Django build because it is the most battle-tested — you get task retries with exponential backoff, priority queues, dedicated worker fleets, Celery Beat for scheduled jobs, and Flower for observability. RQ is simpler and fits smaller apps where you only need a couple of queues and no scheduled work. Django-Q is a Django-native option worth considering when the team wants zero external dependencies and does not need Celery's ecosystem. On any project with more than one queue, scheduled jobs, or a real ops team, we ship Celery.

Question 9

Can you handle Django upgrades from Django 2 or 3 to Django 5?

Accepted Answer

Yes. We run Django upgrade audits as a standalone engagement for teams stuck on Django 2.x or 3.x — usually because a critical third-party package was Python 2 compatible or a custom middleware breaks on 4.x. The audit deliverable is a written report with a phased upgrade path, dependency compatibility matrix, and a fixed-price quotation to execute. Typical timeline is three to eight weeks depending on codebase size, custom middleware count, and test coverage. We run the upgrade on a branch, ship it through a staging environment your team logs into, and cut over on a scheduled window with rollback ready.

Question 10

Do you build multi-tenant Django SaaS?

Accepted Answer

Yes — we ship both patterns. Schema-per-tenant using django-tenants when tenants need genuine data isolation (regulated verticals, enterprise buyers, per-tenant migrations). Shared-schema tenancy with a tenant middleware and a tenant_id foreign key on every model when tenants are lightweight and per-tenant migrations are not needed (D2C SaaS, small-business tools). Both patterns ship with per-tenant billing via Stripe or Razorpay, per-tenant admin scoping, and per-tenant custom subdomains. We pick the pattern on discovery based on the tenant-count forecast and the isolation requirement — the wrong pattern is genuinely expensive to fix later.

Question 11

Do we own the source code of the Django application you build?

Accepted Answer

Yes. IP assignment is standard on every engagement. The source code, the database, and the deployment accounts (AWS, GCP, DigitalOcean, Hetzner, Kubernetes) are yours from the moment the invoice is settled. Code is pushed to your GitHub, GitLab, or Bitbucket repository from day one, not ours. You are free to hire another team, migrate hosting, or extend the application in any direction without our involvement — though most clients continue with us on a support retainer because we know the codebase best.

Python Django Development Company Shipping Data-Heavy Web Apps and Admin-First Backends

Why Python Django is still the safest bet for data-heavy web builds in 2026

What we build with Django and DRF — from internal tools to full SaaS

When to choose Python Django over Node.js, Laravel, .NET, or FastAPI

How we deliver a Python Django project — the seven-step process

Python Django projects we have shipped — patterns that show up again and again

The Python Django tech stack we standardise on

What a Python Django build costs — and what drives that number

The next step — book a Django scoping call

Python Django questions we hear on the first call

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