Why choose Django for building a SaaS product?

Django provides everything you need for a SaaS backend out of the box — ORM with migrations, authentication, admin panel, form validation, security middleware, and session management. This batteries-included approach means you spend time building product features instead of wiring infrastructure. Django's ORM is one of the most mature in any framework, its security track record is excellent, and the ecosystem includes production-ready packages for multi-tenancy, REST APIs, task queues, and real-time features.

How does django-tenants handle multi-tenancy?

django-tenants uses PostgreSQL schemas to isolate tenant data. Each tenant gets its own database schema with dedicated tables, so a SELECT query in one tenant physically cannot access another tenant's data. The middleware detects the tenant from the subdomain or domain, sets the PostgreSQL search_path to the correct schema, and all subsequent ORM queries automatically operate within that schema. Shared data like authentication and billing lives in the public schema. This approach provides stronger isolation than row-level filtering without the operational overhead of database-per-tenant.

How does Celery work in a Django SaaS context?

Celery runs as separate worker processes that pick up tasks from a Redis or RabbitMQ message broker. When your Django view needs to send an email, generate a PDF, or process an import, it dispatches a Celery task and returns immediately. The worker processes the task asynchronously, retries on failure, and stores the result. For SaaS specifically, every Celery task receives the tenant context so that database queries execute in the correct schema. Celery Beat handles scheduled tasks like nightly usage aggregation and subscription renewal checks.

Can Django handle ML and AI workloads for a SaaS product?

Yes, and this is one of Django's strongest advantages. Since your backend is Python, you can import scikit-learn, TensorFlow, PyTorch, Hugging Face transformers, and any other ML library directly into your codebase. We run inference as Celery tasks on GPU-enabled workers when needed, or as synchronous calls for lightweight models. This eliminates the need for a separate ML serving infrastructure. Your SaaS can offer intelligent features — recommendations, classification, anomaly detection, NLP — without the complexity of managing a separate inference service.

Is Django fast enough for a production SaaS?

Django is fast enough for the vast majority of SaaS products. With proper query optimization (select_related, prefetch_related, database indexes), connection pooling via pgbouncer, and caching with Redis, Django handles thousands of requests per second. For compute-heavy or real-time endpoints, Django 4.1+ supports async views and Django Channels provides ASGI-based WebSocket handling. We have built Django SaaS products serving hundreds of thousands of monthly active users without performance issues.

How do you build REST APIs with Django REST Framework?

Django REST Framework provides serializers for input validation and response formatting, viewsets that map to standard CRUD operations, permission classes for access control, and a browsable API for development. We generate OpenAPI 3.0 documentation with drf-spectacular, implement pagination and filtering on list endpoints, configure throttling per user role, and support API versioning through URL prefix or header-based schemes. Every endpoint is tenant-scoped, authenticated, and covered by integration tests.

How long does it take to build a Django SaaS MVP?

A Django SaaS MVP with multi-tenancy, REST API, authentication, Celery tasks, and core product features ships in 3-4 weeks. A full-featured platform with Django Channels, ML integration, advanced admin customization, and enterprise features takes 8-12 weeks. Django's built-in admin gives you an instant internal tool from day one, and the ORM's migration system means schema changes deploy safely without manual database work.

Can you migrate our existing Python application to Django?

Yes. We regularly migrate Flask, FastAPI, and custom Python applications to Django. The migration includes restructuring code into Django apps, moving to Django ORM with proper migrations, setting up django-tenants for multi-tenancy, and integrating Django REST Framework for the API layer. We plan the migration to run incrementally — moving one module at a time while keeping the existing application running — so there is zero downtime for your customers during the transition.

Python/Django SaaS

Python/Django SaaS Development

We build SaaS products on Django — the Python framework trusted by Instagram, Disqus, and Mozilla — with battle-tested multi-tenancy via django-tenants, asynchronous task processing with Celery, RESTful APIs through Django REST Framework, and native ML pipeline integration that lets your SaaS leverage machine learning without a separate inference service. Django's batteries-included philosophy means authentication, admin, ORM, and migrations work out of the box, so we spend time building your product, not infrastructure.

Schedule a Call

INR 2000

Per Hour

30+

SaaS Products Built

4.9/5

Client Rating

<4 Weeks

MVP Delivery

Python/Django SaaS Capabilities We Build

Leveraging Django's mature ecosystem and Python's ML libraries to build SaaS products that are robust, scalable, and intelligent

django-tenants Multi-Tenancy

We implement true schema-based multi-tenancy using django-tenants, where each tenant gets an isolated PostgreSQL schema with its own tables, indexes, and data. Shared tables for authentication and billing live in the public schema while tenant-specific data is fully isolated. Tenant resolution happens via subdomain or custom domain, and the middleware automatically sets the schema context for every request — making tenant isolation transparent to your application code.

Celery Async Task Queues

Background processing runs on Celery with Redis or RabbitMQ as the message broker. We configure task queues for email delivery, report generation, data imports, scheduled billing cycles, and ML inference jobs. Tasks support priority routing, rate limiting, retry with exponential backoff, and result backends for tracking completion. Celery Beat handles periodic tasks like usage aggregation, subscription renewals, and data cleanup on configurable schedules.

Django REST Framework API

Your SaaS API is built on Django REST Framework with serializers for input validation and response shaping, viewsets for CRUD operations, custom permissions for tenant-scoped access control, and pagination for list endpoints. We generate interactive API documentation with drf-spectacular (OpenAPI 3.0), implement token and JWT authentication, configure throttling policies per endpoint, and build versioned API endpoints that let you evolve the API without breaking existing integrations.

ML Pipeline Integration

Python's ML ecosystem integrates natively with your Django SaaS. We build inference pipelines using scikit-learn, TensorFlow, or PyTorch models that run as Celery tasks or dedicated worker processes. Models are versioned, loaded at startup, and served through your API or triggered by domain events. Use cases include recommendation engines, anomaly detection, NLP text classification, sentiment analysis, and predictive analytics — all running inside your SaaS backend without a separate ML platform.

Django Admin Customization

We customize Django Admin into a powerful internal operations tool for your SaaS team. Custom admin views for tenant management, user impersonation, subscription overrides, feature flag configuration, and support ticket resolution. Admin actions for bulk operations, inline editing for related records, and custom filters for finding specific tenants or users. The admin panel ships with audit logging so every internal action is tracked and attributable.

Django Channels WebSockets

Real-time features run on Django Channels with ASGI and Redis channel layer for horizontal scaling. We implement WebSocket consumers for live notifications, real-time dashboard updates, collaborative editing, and chat functionality. Channels integrates with Django's authentication and permission system, so WebSocket connections are authenticated and tenant-scoped. The same codebase handles both HTTP requests and WebSocket events without running a separate real-time service.

Our Python/Django SaaS Development Process

A structured 5-step process to deliver production-ready Django SaaS products

Django Architecture & Schema Design

We design the Django project structure with app-based modularity — each domain area (tenants, billing, notifications, your core product) lives in its own Django app with clear model relationships, signal handlers, and service layers. We plan the PostgreSQL schema for django-tenants, define shared vs tenant-specific models, and design the URL routing for subdomain-based tenant resolution. The architecture supports both synchronous views and ASGI-based async endpoints.

Multi-Tenancy & Authentication Layer

We configure django-tenants with PostgreSQL schema isolation, subdomain routing, and tenant-aware middleware. Authentication integrates django-allauth for social logins, django-rest-framework-simplejwt for API tokens, and optional SAML/SSO for enterprise tenants. The permission layer uses Django's built-in permission framework extended with tenant-scoped groups, object-level permissions with django-guardian, and custom decorators that enforce access at the view level.

API Development & Celery Setup

We build the Django REST Framework API with viewsets, serializers, and permission classes for every endpoint. Celery workers are configured with dedicated queues for different workload types — a high-priority queue for user-facing tasks like email and notifications, a standard queue for report generation and data processing, and a scheduled queue for periodic billing and cleanup tasks. Each task is idempotent, retryable, and monitored through Flower or a custom dashboard.

ML Integration & Real-Time Features

If your SaaS includes ML capabilities, we integrate trained models as Celery tasks that process data asynchronously and return predictions through webhooks or real-time WebSocket events. Django Channels handles live features — notifications pushed to connected users, collaborative document updates, and dashboard metrics that refresh without polling. The channel layer scales horizontally via Redis, and all WebSocket connections are authenticated and tenant-scoped.

Testing, Optimization & Deployment

We write tests with pytest-django covering models, views, serializers, Celery tasks, and WebSocket consumers. Database query performance is optimized with select_related, prefetch_related, database indexes, and Django Debug Toolbar profiling. The application deploys to Docker containers with Gunicorn for WSGI, Daphne or Uvicorn for ASGI, and Celery workers as separate containers. Monitoring covers Django request metrics, Celery queue depths, and database query performance.

Python/Django SaaS Development Pricing

Transparent pricing for Django SaaS products at every stage

Starter SaaS

INR 50,000starting

Core Django SaaS foundation with REST API, authentication, and basic multi-tenancy

Django project with app-based structure
Django REST Framework API
django-tenants schema isolation
JWT & social authentication
Basic Celery task queue
Django Admin customization
14-day post-launch support

Get Started

What Our Clients Say

"Edesy built our multi-tenant analytics SaaS on Django with django-tenants handling 400+ customer schemas in a single PostgreSQL database. Each tenant has complete data isolation, their own admin configuration, and custom branding. The schema-based approach means we can run tenant-specific database migrations without affecting other customers. It has been incredibly reliable — zero data leakage incidents across 18 months of production."

CTO

Technology at Analytics SaaS Platform

"Our SaaS needed ML-powered document classification — customers upload contracts and our system extracts key terms, categorizes clauses, and flags risks. Edesy integrated a fine-tuned NLP model directly into our Django backend as Celery tasks. Documents are processed in under 10 seconds, results are pushed via Django Channels in real-time, and the whole pipeline runs inside our existing infrastructure without a separate ML platform."

Founder

Founder at Legal Tech SaaS

"We migrated from a messy Flask codebase to a properly structured Django application. Edesy set up django-tenants for multi-tenancy, Celery for our 30+ background job types, and Django REST Framework with full OpenAPI documentation. Our API response times dropped by 40% thanks to query optimization, and the new codebase is so well-structured that onboarding new developers now takes days instead of weeks."

VP of Engineering

Engineering at HR Tech SaaS

Python/Django SaaS

Python/Django SaaS Development

Schedule a Call

INR 2000

Per Hour

30+

SaaS Products Built

4.9/5

Client Rating

<4 Weeks

MVP Delivery

Trusted by businesses worldwide

ShopifyAmazonStripeSlackNotionVercel

Python/Django SaaS Capabilities We Build

Leveraging Django's mature ecosystem and Python's ML libraries to build SaaS products that are robust, scalable, and intelligent

django-tenants Multi-Tenancy

Celery Async Task Queues

Django REST Framework API

ML Pipeline Integration

Django Admin Customization

Django Channels WebSockets

Battle-Tested

Django ORM

Async

Task Processing

ML-Ready

Python Ecosystem

15+ Years

Mature Ecosystem

Our Python/Django SaaS Development Process

A structured 5-step process to deliver production-ready Django SaaS products

Django Architecture & Schema Design

Multi-Tenancy & Authentication Layer

API Development & Celery Setup

ML Integration & Real-Time Features

Testing, Optimization & Deployment

Python/Django SaaS Development Pricing

Transparent pricing for Django SaaS products at every stage

Starter SaaS

INR 50,000starting

Core Django SaaS foundation with REST API, authentication, and basic multi-tenancy

Django project with app-based structure
Django REST Framework API
django-tenants schema isolation
JWT & social authentication
Basic Celery task queue
Django Admin customization
14-day post-launch support

Get Started

What Our Clients Say

CTO

Technology at Analytics SaaS Platform

Founder

Founder at Legal Tech SaaS

VP of Engineering

Engineering at HR Tech SaaS

Python/Django SaaS Development — Frequently Asked Questions

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