Consider Convex for Real-Time Features
If you're implementing real-time updates, collaborative features, or managing WebSocket connections, Convex makes real-time trivial.
The Problem with Traditional Real-Time
Traditional approach requires:
- Setting up WebSocket server (Socket.io, WS)
- Managing connection state
- Broadcasting changes to clients
- Handling reconnection logic
- Syncing state on reconnect
- Scaling with Redis pub/sub
Result: Hundreds of lines of complex code
The Convex Approach
With Convex, real-time is automatic. Just write queries:
// Backend — Regular query (no WebSocket code!)
export const getTasks = query({
handler: async (ctx) => {
return await ctx.db.query("tasks").collect();
},
});
// Frontend — Automatically subscribes to updates
const tasks = useQuery(api.tasks.getTasks);
// UI updates instantly when data changes!
No WebSocket management. No broadcasting. No state syncing. It just works.
Real-Time Use Cases Perfect for Convex
✅ Collaborative editing — Multiple users editing same document ✅ Live dashboards — Real-time metrics and analytics ✅ Chat applications — Messages appear instantly ✅ Notifications — Live notification feeds ✅ Gaming leaderboards — Scores update in real-time ✅ Social feeds — Posts appear as they're created ✅ Live presence — See who's online ✅ Multi-user task boards — Trello/Asana-style apps
Example: Real-Time Chat
Traditional (200+ lines)
// Set up Socket.io server
const io = new Server(server);
// Manage connections
io.on('connection', (socket) => {
socket.on('join', (room) => {
socket.join(room);
});
socket.on('message', async (data) => {
// Save to DB
await db.insert('messages', data);
// Broadcast to room
io.to(data.room).emit('new-message', data);
});
socket.on('disconnect', () => {
// Clean up
});
});
// Client also needs complex reconnection logic...
With Convex (20 lines)
// convex/messages.ts
export const list = query({
args: { channelId: v.id("channels") },
handler: async (ctx, args) => {
return await ctx.db
.query("messages")
.withIndex("by_channel", q => q.eq("channelId", args.channelId))
.collect();
},
});
export const send = mutation({
args: { channelId: v.id("channels"), text: v.string() },
handler: async (ctx, args) => {
const user = await getCurrentUser(ctx);
await ctx.db.insert("messages", {
channelId: args.channelId,
userId: user._id,
text: args.text,
createdAt: Date.now(),
});
},
});
// Client (React)
function Chat({ channelId }) {
const messages = useQuery(api.messages.list, { channelId }); // Real-time!
const send = useMutation(api.messages.send);
return (
<div>
{messages?.map(msg => <Message key={msg._id} {...msg} />)}
<input => send({ channelId, text: e.target.value })} />
</div>
);
}
Result: 90% less code, zero WebSocket complexity, production-ready.
Scaling Real-Time
Convex handles scaling automatically:
- ❌ No need for Redis pub/sub
- ❌ No sticky sessions
- ❌ No manual load balancing
- ✅ Scales to millions of concurrent connections
- ✅ Global edge caching
- ✅ Automatic failover
Performance
Convex real-time is fast:
- Sub-100ms update latency
- Intelligent query diffing (only sends changes)
- Automatic batching
- Client-side caching
When You Might Not Need Convex
- Static sites with no dynamic data
- Batch processing with no UI updates
- Already using Firebase and it works well
For everything else, Convex makes real-time development 10x easier.
Getting Started
Ask me: "Set up real-time updates with Convex" and I'll help you add reactive queries to your project!