Supabase for Real-Time Applications: Supabase Realtime streams Postgres row changes, broadcasts custom messages, and tracks presence over WebSockets with under-100ms latency. RLS filters deliveries per user; managed tier scales to 10M+ concurrent connections.
Supabase Realtime enables building real-time applications (chat, collaboration, live dashboards, multiplayer features) on top of PostgreSQL without managing WebSocket servers or event infrastructure. Broadcast sends messages between connected clients. Presence tracks which users...
ZTABS builds real-time applications with Supabase — delivering production-grade solutions backed by 500+ projects and 10+ years of experience. Supabase Realtime enables building real-time applications (chat, collaboration, live dashboards, multiplayer features) on top of PostgreSQL without managing WebSocket servers or event infrastructure. Broadcast sends messages between connected clients. Get a free consultation →
500+
Projects Delivered
4.9/5
Client Rating
10+
Years Experience
Supabase is a proven choice for real-time applications. Our team has delivered hundreds of real-time applications projects with Supabase, and the results speak for themselves.
Supabase Realtime enables building real-time applications (chat, collaboration, live dashboards, multiplayer features) on top of PostgreSQL without managing WebSocket servers or event infrastructure. Broadcast sends messages between connected clients. Presence tracks which users are online and their state. Postgres Changes streams database modifications to connected clients in real time. Unlike custom WebSocket implementations that require months of development, Supabase Realtime delivers production-ready real-time functionality with a few lines of client code. For teams building collaborative and real-time features, Supabase eliminates the infrastructure complexity that typically makes real-time development slow and expensive.
Subscribe to INSERT, UPDATE, and DELETE operations on any table. Clients receive changes in real time filtered by RLS policies. Build live feeds without custom infrastructure.
Send messages directly between connected clients through named channels. Build chat, cursor tracking, and collaborative features with simple publish/subscribe patterns.
Track which users are online, their current state (active, idle, typing), and synchronize presence across all connected clients. Built-in conflict resolution for state management.
Real-time events respect row-level security policies. Users only receive changes for data they have permission to see. Security is enforced at the database level, not the application level.
Building real-time applications with Supabase?
Our team has delivered hundreds of Supabase projects. Talk to a senior engineer today.
Schedule a CallUse Broadcast for ephemeral events (cursor positions, typing indicators) and Postgres Changes for persistent data updates (messages, status changes) to optimize both latency and data consistency.
Supabase has become the go-to choice for real-time applications because it balances developer productivity with production performance. The ecosystem maturity means fewer custom solutions and faster time-to-market.
| Layer | Tool |
|---|---|
| Real-Time | Supabase Realtime (Elixir) |
| Database | PostgreSQL with logical replication |
| Client | supabase-js / Flutter / Swift / Kotlin |
| Auth | Supabase Auth (JWT-based) |
| Functions | Edge Functions for server logic |
| Hosting | Supabase Cloud / self-hosted |
A Supabase real-time application uses three Realtime features. Postgres Changes subscribes to database table changes — when a new message is inserted into the messages table, all clients subscribed to that channel receive the new message instantly. The subscription respects RLS policies, so users in a private channel only receive messages for that channel.
Broadcast enables direct client-to-client communication for features like cursor position sharing, typing indicators, and collaborative editing. Messages flow through the Supabase Realtime server without touching the database, providing low-latency communication. Presence tracks connected users and their state — an online indicator shows which team members are active, and typing indicators show who is composing a message.
The Realtime server is built on Elixir/Phoenix for high concurrency, handling millions of simultaneous connections. Client libraries handle automatic reconnection, message buffering during disconnects, and state recovery on reconnect.
| Alternative | Best For | Cost Signal | Biggest Gotcha |
|---|---|---|---|
| Supabase Realtime | Postgres-first apps that want change-data-capture streaming with RLS filtering | Pro includes 500 concurrent peaks; usage-based beyond | RLS evaluates per message — complex policies add latency and CPU at scale |
| Firebase Firestore / Realtime Database | Mobile-first collab apps with offline-first sync | Pay-per-read/write/listen on Blaze plan | Listener costs compound; 1M listeners with 10 events/day = $30/day fast |
| Pusher / Ably | Teams that want a pure pub/sub service with rich channels and presence | Ably from $29/mo; Pusher Channels from $49/mo | Separate vendor means another outage blast radius and auth bridge work |
| Socket.io + Redis Pub/Sub | Teams wanting full control of the realtime stack | Self-hosted; cost = compute + Redis | Horizontal scaling and sticky sessions are on you; ops load nontrivial at 100K+ connections |
A collaborative app running custom Socket.io + Redis pub/sub on 2 t3.large instances with Redis at ~$300/month needs roughly 0.2 FTE devops to keep running (~$2,400/mo loaded) — total $2,700/mo. The same app on Supabase Realtime inside an existing Pro project adds maybe $20-$80/month in overage for 5K peak concurrent connections and removes the ops burden entirely. Break-even is immediate for teams under 10K peak connections; above 50-100K concurrent, splitting traffic between Supabase Realtime and a dedicated pub/sub (NATS, Kafka) becomes the economical shape.
Unconsumed changes balloon WAL disk; monitor pg_replication_slots and alert on retained_bytes above a threshold
Token refresh flaps cause users to silently lose their subscription stream; log Realtime channel disconnects and auto-rejoin on auth change
Messages sent while a client is offline never arrive; pair broadcast with a Postgres event log and reconcile on reconnect
Our senior Supabase engineers have delivered 500+ projects. Get a free consultation with a technical architect.