Supabase vs Firebase vs Appwrite 2026

TL;DR

• Supabase: Postgres-based, RLS powerful, AI-ready (pgvector). Conditional Recommend untuk SaaS web/AI.
• Firebase: NoSQL, mobile SDK matang, Google ecosystem. Conditional Recommend untuk mobile-first app.
• Appwrite: Open-source self-host friendly, scale cheap. Conditional Recommend untuk niche dengan budget tight atau data residency strict.
• Verdict: pilih berdasarkan shape data, platform target, dan budget scaling.

Konteks

Saya pakai ketiga BaaS di 14 project SMB Indonesia 2024-2026:

• Supabase (7 project): SaaS dental Jakarta, ecommerce klinik, admin HR, AI legal assistant, chatbot, summarizer, portfolio booking
• Firebase (4 project): mobile booking dental (sebelum migrate Supabase), 2 mobile app fotografer, 1 admin panel realtime
• Appwrite (3 project): internal tool warung Tangerang (self-host), portfolio dev (cloud), MVP startup (self-host)

Total 24 bulan compare apple-to-apple.

Pricing (Juni 2026)

Supabase

• Free: 500MB DB, 1GB storage, 2GB egress, 50K MAU
• Pro: $25/bulan = Rp 400rb. 8GB DB, 100GB storage, 250GB egress, 100K MAU
• Team: $599/bulan = Rp 9.6 juta

Firebase

• Spark (free): 1GB storage Firestore, 50K read/hari, 20K write/hari, 10K MAU auth
• Blaze (pay-as-you-go): $0.06/100K read, $0.18/100K write, $0.026/GB storage. Bill scaling dengan usage.

Estimasi untuk SaaS 5K MAU dengan moderate usage:

• Supabase Pro: ~Rp 400rb/bulan flat
• Firebase Blaze: ~Rp 600rb-1.5 juta/bulan (depends query pattern)
• Appwrite Pro: ~Rp 240rb/bulan

Appwrite

• Free: 75K MAU, 2GB storage, 10GB bandwidth
• Pro: $15/bulan = Rp 240rb. 200K MAU, 150GB storage, 200GB bandwidth
• Scale: $599/bulan = Rp 9.6 juta
• Self-host: Rp 60-150rb/bulan VPS Niagahoster + cost domain SSL

Performance comparison

Test scenario: SaaS dengan 10K user, 50 read + 5 write per session, 20 session/user/bulan.

Read latency (median, Jakarta)

Service	Latency
Supabase (Singapore region)	25-45ms
Firebase Firestore (asia-southeast2 Jakarta)	8-15ms
Appwrite self-host (Jakarta VPS)	5-12ms
Appwrite Cloud (Frankfurt — closest)	180-280ms

Firebase Firestore Jakarta region menang untuk latency mobile. Supabase Singapore acceptable. Appwrite Cloud belum punya Asia region — major drawback.

Write latency

Service	Latency
Supabase	35-60ms
Firebase	15-25ms
Appwrite self-host	8-18ms

Realtime subscription

Service	Connection setup	Message latency
Supabase Realtime	200-400ms	50-150ms
Firebase Realtime DB	80-150ms	30-80ms
Appwrite Realtime	150-300ms	80-200ms

Firebase Realtime DB menang untuk real-time chat / collaborative app.

Feature comparison

Feature	Supabase	Firebase	Appwrite
Database type	Postgres (SQL)	Firestore (NoSQL)	Postgres or NoSQL
Auth	Email, OAuth, SAML, Phone	Email, OAuth, Phone, Anonymous	Email, OAuth, Phone
Storage	Native	Cloud Storage	Native
Realtime	Postgres listen	Realtime DB / Firestore listen	WebSocket
Edge Function	Deno (TS)	Cloud Function (Node.js)	Function (Node/Python/PHP/etc)
Vector search	Native (pgvector)	Vertex AI integration	Manual
RLS / Rules	SQL RLS	Security Rules DSL	Permission system
Self-host	Yes (Docker)	No	Yes (native)
Free tier MAU	50K	10K (Auth)	75K
Asia region	Singapore	Jakarta, Singapore, Tokyo	Frankfurt only (Cloud)

Trade-off

Supabase

Pro: Postgres = mature, well-known, integrate dengan tool data scientist (DataGrip, TablePlus, dbeaver). RLS powerful untuk SaaS multi-tenant. pgvector native untuk AI/RAG. Open-source — bisa self-host jika butuh. Ekosistem React/Next.js matang.

Con: Asia coverage cuma Singapore (latency 25-45ms dari Jakarta). Realtime kurang matang dari Firebase. Free tier DB 500MB cepat hit untuk app aktif.

Firebase

Pro: Mobile SDK paling matang (iOS, Android native, React Native, Flutter). Realtime DB performance terbaik. Google ecosystem (Analytics, Crashlytics, Cloud Messaging, A/B Testing). Asia region Jakarta + Singapore + Tokyo.

Con: NoSQL Firestore awkward untuk relational data (join via client-side). Pay-as-you-go bill unpredictable — beberapa klien saya kena spike 5-10x normal. Security Rules sulit untuk complex permission. Vendor lock-in Google strong.

Appwrite

Pro: Self-host friendly — bisa Rp 60rb/bulan VPS. Open-source pure (MIT license). Pricing Cloud paling murah ($15/mo). Function support banyak language (Node, Python, PHP, Ruby, Java, Deno, Dart, Swift).

Con: Ekosistem terkecil — community resource sedikit, AI integration belum native. Cloud Asia region belum ada. Documentation OK tapi tidak as polished as Supabase/Firebase. Migration ke Cloud paid jika scale.

Konteks Indonesia

SaaS dental Jakarta (Supabase): 800 user, RLS untuk multi-clinic isolation. Bill Rp 400rb/bulan Pro. Latency 35ms dari Jakarta — acceptable.

Mobile booking dental (Firebase, kemudian migrate Supabase): started Firebase 2024, bill scale ke Rp 1.2 juta/bulan di 1500 user. Migrate ke Supabase Q4 2025 — bill drop ke Rp 400rb/bulan flat. Migration cost: 3 minggu effort (data + auth + Firestore → Postgres schema).

Admin warung Tangerang (Appwrite self-host): VPS Niagahoster Rp 80rb/bulan. 200 user, internal tool. Cost minimal, control penuh.

Use case decision matrix

Use case	Recommended
SaaS web Next.js/React	Supabase
AI SaaS dengan vector search	Supabase (pgvector)
Mobile-first app (iOS + Android)	Firebase
Realtime chat / collaborative	Firebase Realtime DB
Self-host strict requirement	Appwrite
Budget tight + scale	Appwrite (self-host)
Multi-tenant SaaS dengan complex permission	Supabase (RLS)
Startup MVP cepat	Supabase atau Firebase
App dengan data relational kompleks	Supabase
App dengan data flat user-owned	Firebase

Migration paths

Firebase → Supabase

Effort: 2-4 minggu untuk medium app (10K user, 5-10 collection).

• Schema migration: Firestore (NoSQL flat) → Postgres (SQL relational) butuh remodeling
• Auth migration: export Firebase auth → import Supabase (script tersedia)
• Data migration: write script Firestore export → CSV → Supabase import
• Code migration: refactor query (Firestore SDK → Supabase SDK)

Supabase → Firebase

Effort: similar, tapi rare (orang biasanya migrate Firebase → Supabase, bukan sebaliknya).

Self-host Appwrite → Cloud

Effort: 1-2 hari. Export data + import via Appwrite migration tool.

Cost optimization tactic

Supabase

• Pakai Database Pooler untuk connection pool (saves connection limit)
• Cache hot query di Edge Function (Deno KV / Cloudflare KV)
• Pakai partial index untuk query hot path

Firebase

• Pakai Cloud Functions untuk aggregate (kurangi read client)
• Cache di Redis (Cloud Memorystore) untuk read-heavy
• Pakai composite index untuk query yang sering

Appwrite

• Self-host di VPS Asia Pacific (Niagahoster, Biznet) untuk latency Indonesia
• Setup backup harian ke S3-compatible storage (Cloudflare R2)
• Monitor disk usage — Appwrite tidak auto-scale

Yang surprising

Supabase pgvector adoption lebih cepat dari yang saya kira. 4 dari 7 project Supabase saya pakai vector search untuk AI/RAG. Ekosistem AI Indonesia 2026 default Supabase + Claude/OpenAI.

Firebase bill scaling tidak predictable lebih sering dari yang saya ekspektasi. 2 dari 4 project Firebase saya kena bill spike 3-10x karena bug query loop atau mistake quota. Supabase tier-based predictable.

Verdict

Conditional Recommend untuk ketiga:

Pakai Supabase jika:

• SaaS web React/Next.js
• AI feature dengan vector search
• Multi-tenant dengan RLS complex
• Prefer tier-based pricing

Pakai Firebase jika:

• Mobile-first app (iOS + Android)
• Real-time collaborative feature heavy
• Asia region Jakarta latency critical
• Budget OK dengan pay-as-you-go (monitor closely)

Pakai Appwrite jika:

• Strict data residency atau self-host requirement
• Budget tight long-term
• Comfort dengan ekosistem yang lebih kecil
• VPS skill OK untuk self-host

Default untuk SMB Indonesia 2026: Supabase. Switch jika hit specific need (mobile real-time → Firebase, self-host → Appwrite).

Untuk AI SaaS stack lengkap: Bundle AI SaaS Claude + Supabase + Vercel.