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PowerSync vs Supabase

Data & Sync

By Abdelrahman Saed — Senior Mobile Engineer. Last updated: 2026-08-10.

Quick answer

They are not competitors — they are layers. Supabase is your Postgres backend (auth, database, storage, realtime). PowerSync is a sync engine that mirrors subsets of that Postgres database into on-device SQLite so your Flutter app works fully offline and reconciles conflicts when connectivity returns.

At iStoria we use both together: Supabase as the source of truth in the cloud, PowerSync to keep each device's local Drift/SQLite database in sync. If you need true offline-first with conflict resolution, this is the stack. Supabase alone gives you realtime but not robust offline writes.

Feature comparison

FeaturePowerSyncSupabase
RoleSync engine (Postgres ↔ SQLite)Backend (Postgres, Auth, Storage)
Offline writesFirst-class, queued + syncedManual (you build the queue)
Conflict resolutionBuilt-in policiesDIY
Sync rules / partitioningYes (YAML DSL)No (you filter in queries)
RealtimeVia local SQLite watch()Websocket Realtime (online)
Source of truthPostgres (Supabase or own)Postgres
Conflict costIncludedYour engineering time
Best withDrift/sqflite on deviceOwn client (postgrest, realtime)
Together?Yes — recommendedYes — recommended

Detailed comparison

What each one is

Supabase is an open-source Firebase alternative: managed Postgres, Auth, Storage, Edge Functions, and Realtime (websockets). It is your server-side backend. Your canonical data lives in Postgres.

PowerSync is a sync service that sits between a Postgres database (Supabase or your own) and on-device SQLite. It defines sync rules (which rows each user/device should receive), watches the Postgres WAL, and pushes changes to devices; device writes are queued locally and pushed back up with conflict resolution.

They solve different problems and compose cleanly.

The offline-first gap Supabase alone does not fill

Supabase Realtime delivers changes to connected clients over websockets. That is online realtime, not offline-first. If the device loses connectivity, queued writes are your responsibility, and there is no built-in conflict resolution for concurrent edits. You can build it (a writes queue, logical clocks, merge logic) but you are engineering the sync layer yourself.

PowerSync exists precisely to provide that layer: deterministic local-first sync with a conflict-resolution policy and a sync-rules DSL for partitioning data per user.

The Flutter integration

PowerSync ships a Flutter client (powersync) that syncs into a local SQLite database — which Drift can wrap. So your architecture becomes:

Supabase Postgres  ←→  PowerSync sync service  ←→  on-device SQLite (Drift)  ←→  BLoC/UI

Reads and writes go to local SQLite (instant, offline-capable). PowerSync reconciles in the background. The UI never blocks on network.

When you need PowerSync

You need PowerSync (or equivalent) when:

  • The app must function fully offline (create, edit, read) and reconcile on reconnect.
  • Each user should sync only their partition of a large dataset (sync rules).
  • You want deterministic conflict resolution without building it yourself.

You do not need PowerSync when the app is online-only or can tolerate simple last-write-wins with your own queue.

Code comparison

PowerSync + Supabase + Drift — the offline-first stack

// 1. Supabase backend
final supabase = Supabase.instance.client;

// 2. PowerSync client syncing into local SQLite
final powerSync = PowerSyncDatabase(
  schema: AppSchema(),
  path: 'app.db',
);
await powerSync.initialize();

// 3. connect sync with auth from Supabase
await supabase.auth.signInWithPassword(email, password);
powerSync.connect(async () => await fetchSupabaseToken());

// 4. read/write local — offline-capable, instant
final rows = await powerSync.execute('SELECT * FROM tasks WHERE owner = ?', [userId]);
await powerSync.execute('INSERT INTO tasks (id, title) VALUES (?, ?)', [id, title]);
// PowerSync pushes the insert upstream when online

Supabase alone — online realtime, no offline write queue

final supabase = Supabase.instance.client;

// online realtime — breaks when offline
final sub = supabase.from('tasks').stream(primaryKeyKey: ['id']).listen((rows) {
  // update UI
});

// write — fails or is lost if offline unless you queue it yourself
await supabase.from('tasks').insert({'title': title});

The PowerSync version gives you offline writes, sync rules, and conflict resolution out of the box. The Supabase-only version leaves offline behavior entirely to you.

Which should you choose?

Choose PowerSync when: the app must work offline-first with writes that reconcile on reconnect, you need per-user data partitioning via sync rules, or you want conflict resolution without building it. Pair it with Supabase (or any Postgres) as the backend.

Choose Supabase (alone) when: the app is primarily online, realtime updates are sufficient, offline behavior is limited to read-caching, or you are willing to build your own write queue and conflict logic. Most apps start here and add PowerSync when offline writes become a real requirement.

Related definitions

Related reading

FAQ

Do I need Supabase if I use PowerSync?

You need a Postgres database as the source of truth. Supabase is the most common choice because PowerSync has first-class Supabase integration, but you can use any Postgres. Supabase also gives you Auth, Storage, and Edge Functions that pair naturally.

Can I use Supabase Realtime instead of PowerSync for offline?

No — Supabase Realtime is an online websocket stream. It does not queue offline writes or resolve conflicts. If you need offline-first writes, you need a sync layer like PowerSync (or you build one yourself).

How does PowerSync handle conflicts?

PowerSync applies a deterministic conflict resolution policy on the server side when concurrent writes reconcile. You define sync rules in YAML to control which rows each client receives. For app-level merge semantics (e.g. field-level merge), you handle that in your write logic or Postgres triggers.

What is the latency for a local write to reach the server with PowerSync?

On a healthy connection, a local write typically syncs upstream within seconds — PowerSync queues the change and pushes it on the next sync cycle. The key point is that the UI never waits: the write is committed locally and is immediately visible to the user. If the device is offline, the change sits in the local upload queue and reconciles automatically when connectivity returns. You design the UX around 'write is instant, sync is eventual' — which is the entire premise of local-first.


Available for hire. Abdelrahman Saed is a Senior Mobile Engineer (Flutter) — open to full-time, fractional, contract, or advisory work. Hire me →

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