Optimizing Frontend Performance with Supabase and Edge Functions
In modern frontend development, performance is king. Users expect apps to load instantly, react smoothly, and handle data seamlessly. One way to achieve this is by integrating Supabase, a serverless Postgres database with real-time capabilities, alongside Edge Functions to offload computations closer to the user.
This post dives into practical strategies to optimize your frontend apps while using Supabase effectively.
Why Supabase + Edge Functions?
Supabase is more than just a backend — it’s a real-time database, authentication provider, and file storage service. Combining it with edge functions gives you:
- Ultra-low latency by running code closer to the client.
- Scalable serverless architecture without managing infrastructure.
- Real-time data updates that keep the frontend in sync without heavy polling.
This is especially useful for dashboards, analytics apps, and interactive websites.
1. Efficient Data Fetching
Fetching only what the client needs reduces load time and improves perceived performance.
Example: Paginated Posts Fetch
import { createClient } from '@supabase/supabase-js';
const supabase = createClient(SUPABASE_URL, SUPABASE_KEY);
export async function getPaginatedPosts(page = 1, limit = 10) {
const from = (page - 1) * limit;
const to = page * limit - 1;
const { data, error } = await supabase
.from('posts')
.select('*')
.order('created_at', { ascending: false })
.range(from, to);
if (error) throw new Error(error.message);
return data;
}
Fetch only the rows needed for the current view
Reduce payload size and memory consumption on the frontend
2. Real-Time Subscriptions
Supabase allows subscribing to table changes in real-time, minimizing full page reloads or polling
import { createClient } from '@supabase/supabase-js';
import { useEffect, useState } from 'react';
const supabase = createClient(SUPABASE_URL, SUPABASE_KEY);
export default function RealtimePosts() {
const [posts, setPosts] = useState([]);
useEffect(() => {
const fetchPosts = async () => {
const { data } = await supabase.from('posts').select('*').order('created_at', { ascending: false });
setPosts(data);
};
fetchPosts();
const subscription = supabase
.from('posts')
.on('INSERT', payload => setPosts(prev => [payload.new, ...prev]))
.subscribe();
return () => supabase.removeSubscription(subscription);
}, []);
return (
<ul>
{posts.map(post => <li key={post.id}>{post.title}</li>)}
</ul>
);
}
Benefits
Updates happen instantly without refetching the entire table
Reduces bandwidth usage and speeds up UI updates
3. Edge Functions for Preprocessing
Perform server-side logic close to the user using Supabase Edge Functions. This is ideal for
- [x] Calculating aggregates.
- [x] Filtering data.
- [x] Handling authentication and authorization before sending data to the client.
// edge/functions/get-posts.ts
import { serve } from 'https://deno.land/std@0.203.0/http/server.ts';
import { createClient } from '@supabase/supabase-js';
const supabase = createClient(Deno.env.get('SUPABASE_URL'), Deno.env.get('SUPABASE_KEY'));
serve(async (req) => {
const url = new URL(req.url);
const page = Number(url.searchParams.get('page') || 1);
const limit = 10;
const from = (page - 1) * limit;
const to = page * limit - 1;
const { data, error } = await supabase.from('posts').select('*').order('created_at', { ascending: false }).range(from, to);
if (error) return new Response(JSON.stringify({ error: error.message }), { status: 500 });
return new Response(JSON.stringify({ data }), { status: 200, headers: { 'Content-Type': 'application/json' } });
});
Edge functions execute near the client, reducing latency
Preprocessing ensures frontend receives exactly what it needs
4. Caching and Revalidation
Combine Supabase Edge Functions with Next.js ISR (Incremental Static Regeneration)
export const revalidate = 60; // regenerate every 60 seconds
Pages can be statically generated for speed
Edge functions handle dynamic or personalized data
5. Optimizing Images and Assets
-
[x] Even with fast data, slow assets kill perceived performance:
-
[x] Use Supabase Storage with URL transformations for resizing.
-
[x] Lazy-load images using next/image.
import Image from 'next/image';
<Image
src={post.coverImage}
alt={post.title}
width={800}
height={400}
priority={false}
/>
Only load images when visible
Improves Largest Contentful Paint (LCP) scores
6. Frontend Caching Strategies
-
[x] Client-side caching: Store frequent queries in React Query or SWR.
-
[x] Edge caching: Use CDN + Edge Functions to cache API responses.
-
[x] Stale-while-revalidate: Serve cached data immediately and refresh in the background.
import useSWR from 'swr';
const fetcher = url => fetch(url).then(res => res.json());
function PostsList() {
const { data } = useSWR('/api/posts', fetcher, { revalidateOnFocus: false });
return <ul>{data?.data.map(p => <li key={p.id}>{p.title}</li>)}</ul>;
}
7. Summary
By combining Supabase, Edge Functions, and modern frontend techniques
-
[x] You minimize latency.
-
[x] You reduce unnecessary network requests.
-
[x] You provide real-time updates.
-
[x] You optimize perceived performance for users.
-
[x] This architecture is modern, scalable, and shows recruiters that you understand both frontend and serverless backend ecosystems.
TL;DR
-
[x] Use paginated queries to limit data.
-
[x] Subscribe to real-time updates for interactive apps.
-
[x] Offload heavy computation to Edge Functions.
-
[x] Cache strategically on client and edge.
-
[x] Optimize assets with lazy-loading and transformations.