Build a Scalable Live Streaming Platform Like Hotstar Using React.js, Node.js, MySQL & Cassandra
In the era of high-traffic video platforms like Hotstar, Netflix, and Twitch, building your own live streaming platform is no longer reserved for tech giants. With the right modern tech stack React.js, Node.js, MySQL, and Apache Cassandra you can deliver real-time video, global scalability, and high concurrency to millions of users.
In this post, we’ll walk through the architecture, benefits, and implementation strategy for building a live streaming service with robust open-source technologies.
Use Case: Live Streaming Platform Like Hotstar
Objective:
Build a high-availability, scalable live streaming platform for:
- Sports broadcasting
- Movie & TV show streaming
- Live events & concerts
- Pay-per-view content
- User-generated streams
Recommended Tech Stack
| Layer | Technology Used | Purpose |
|---|---|---|
| Frontend | React.js + Next.js | Responsive UI, SSR for SEO, PWA support |
| Backend | Node.js + Express.js | RESTful APIs, WebSockets for real-time |
| Database | MySQL | Structured user data, metadata |
| NoSQL Store | Apache Cassandra | Real-time analytics, session tracking |
| Media Server | Nginx RTMP / Wowza / MediaSoup | Ingest and deliver live streams |
| Video Storage | S3 / MinIO | Store VOD and stream archives |
| CDN | Cloudflare / Akamai | Global stream delivery |
| Auth & Tokens | JWT + OAuth 2.0 | Secure login & stream access control |
| Queue System | Kafka / RabbitMQ | For analytics and transcoding pipeline |
| Monitoring | Prometheus + Grafana | Metrics & alerting |
| Transcoding | FFmpeg + GPU Nodes | Convert streams to multiple formats |
Implementation Strategy
React.js Frontend (Next.js Optional)
- Create UI with video player, user login, browse by genre/live events
- Use WebSockets for live chat or viewer counts
- SSR with Next.js improves SEO and load performance
Node.js Backend with Express
- RESTful APIs for user login, stream catalog, subscriptions
- WebSocket endpoints for live stats & chats
- Secure endpoints with JWT
MySQL Database
- Store user profiles, plans, content metadata, payments
- Use Sequelize or Prisma as ORM
Apache Cassandra (Real-Time Data Store)
- Store real-time metrics: active viewers, stream events, reactions
- Highly available, horizontally scalable NoSQL DB
- Integrate with Kafka to write analytical data in near real time
Live Streaming & Media Delivery
- Use Nginx RTMP or MediaSoup to ingest RTMP streams
- Transcode with FFmpeg into HLS/DASH
- Store in MinIO/S3 and serve through Cloudflare CDN
Payment Integration
- Stripe, Razorpay, or local payment gateways
- Support subscriptions or pay-per-view model
Monitoring & Performance
- Use Prometheus to track memory, viewers, API latency
- Visualize with Grafana
- Alert with Alertmanager/Slack
Why This Stack Works
- React.js: Fast, interactive UIs and SEO benefits with SSR
- Node.js: Event-driven backend, perfect for streaming & concurrency
- MySQL: Relational, consistent user and transactional data
- Cassandra: Handles massive write loads and availability across nodes
- FFmpeg + Media Server: Cost-effective media processing
- CDN: Scales video delivery globally with low latency
Real-World Results
A startup deployed a Hotstar-like OTT platform for regional cricket coverage:
- 10M+ concurrent viewers during matches
- 3-second stream latency with adaptive bitrate
- Cassandra cluster over 6 nodes for live reaction tracking
- Cost 60% less than AWS MediaLive stack