Open-Source & Self-Hosted Alternatives to Firebase & Supabase Cloud
Firebase charges $0.06 per 100k Firestore document reads and $0.40/M Cloud Function invocations, so a single mobile app that crosses 50M reads in a month sees the bill climb from $25 Spark to $800–$1,100 in a single billing cycle — and high-volume launches hit $3,200–$8,500+/month once Firestore bandwidth and Cloud Run egress are added. Self-hosting replaces four parallel meters (reads, writes, invocations, storage egress) with a flat VPS bill: Supabase runs full PostgreSQL on €3.79/mo Hetzner CX22, PocketBase packs SQLite+Auth+Storage into a single 25MB binary on €3.79/mo, Appwrite delivers 30+ OAuth providers on €3.79/mo, Nhost pairs Hasura GraphQL with Postgres on €3.79/mo, and Parse Server (the original Facebook BaaS, open-sourced 2016) runs on MongoDB or PostgreSQL starting at €3.79/mo. Five open-source replacements, zero per-read or per-invocation metering.
Why Migrate Away from Firebase & Supabase Cloud?
Firebase locks your core backend logic into Google Cloud infrastructure with proprietary NoSQL APIs (Firestore / Realtime Database). As your application scales, document reads and cold-start Cloud Functions create unpredictable monthly bills. Self-hosting an open-source BaaS gives you standard PostgreSQL under the hood, predictable fixed hardware pricing, zero read/write metering penalties, and full control over database indexing and raw SQL migrations.
Technical Architecture & Migration Analysis
Proprietary Firebase abstracts database operations behind proprietary gRPC and HTTP streaming endpoints, storing records in Google Cloud Spanner and Firestore NoSQL engines, then meters every read, write, Cloud Function cold-start, and storage egress separately. When self-hosting modern BaaS alternatives, your stack shifts to a standard relational or document architecture with predictable fixed-cost hardware. Supabase runs real PostgreSQL 15+ paired with PostgREST (for instant REST APIs), GoTrue (Go-based authentication), Realtime (Elixir-based WebSocket pub/sub for database changes), and Kong/Traefik as the API gateway. PocketBase consolidates everything into a single compiled Go binary running an embedded SQLite engine with WAL (Write-Ahead Logging), delivering single-digit millisecond query latency without cold starts. Appwrite uses Docker microservices with MariaDB/Postgres persistence, Redis caching, and OpenRuntimes for polyglot serverless execution (Node, Python, PHP, Ruby, Dart, Go). Nhost deploys Hasura GraphQL Engine fronting PostgreSQL 15+, with GoTrue auth, S3-compatible storage, and serverless Functions — replacing Firestore triggers with Hasura event triggers. Parse Server runs as a Node.js application persisting to MongoDB or PostgreSQL via the database adapter, with LiveQuery reading from the database oplog for real-time events. All five eliminate the per-read billing that drives Firebase bills unpredictably upward.
When NOT to Migrate (When Staying on Firebase & Supabase Cloud Makes Sense)
Self-hosting is not universally the right move. Keep paying for SaaS if your team hits any of these constraints:
- ▸You rely heavily on Google-managed zero-config mobile services like Firebase Dynamic Links, Firebase ML Kit, or integrated Google Play In-App Purchase server verification.
- ▸Your engineering team has zero Linux sysadmin experience and no bandwidth to monitor PostgreSQL WAL archiving, disk space alerts, or automated offsite database backups.
- ▸You have an unpredictable, hyper-bursty consumer mobile launch where traffic swings from zero to 500,000 concurrent requests in 5 minutes and you cannot afford 15 minutes to scale VPS nodes.
Real-World Cost Comparison: Firebase & Supabase Cloud vs Self-Hosted
Comparing vendor cloud billings against standard Hetzner / DigitalOcean infrastructure costs at scale.
| Tier / Scale | Firebase & Supabase Cloud Cost | Self-Hosted VPS Cost | Estimated Annual Savings | Technical Breakdown |
|---|---|---|---|---|
Early MVP / Side Project 5,000 MAU, 2M document reads/mo, 5GB storage | $0 - $25/month (Spark / Blaze Plan) | €3.79/month (Hetzner CX22 2 vCPU, 4GB RAM) | $250 - $300/year | PocketBase or lightweight Supabase handles this workload comfortably on a single 4GB VPS with < 10% CPU utilization. |
Production SaaS App 75,000 MAU, 45M reads/writes, 80GB asset storage, auth & real-time | $450 - $1,100/month (Document read overages + Cloud Function invocations) | €14.28/month (Hetzner CPX31 4 vCPU, 8GB RAM + Hetzner S3 €5/mo) | $5,200 - $13,000/year | Self-hosted Supabase with Postgres connection pooling (PgBouncer/Supavisor) processes all database transactions at zero per-read surcharge. |
High-Volume Mobile & Web 500,000 MAU, 400M operations/mo, 1TB storage, heavy WebSockets | $3,200 - $8,500+/month (Firestore bandwidth + storage egress) | €64.00/month (Dedicated Hetzner AX42 8-core AMD, 64GB DDR5 ECC + S3 storage) | $37,000 - $100,000+/year | Dedicated NVMe drives handle tens of thousands of raw Postgres transactions per second with sub-5ms response times. |
Top 5 Recommended Open-Source Replacements
Tested, self-contained, and production-ready. Click any tool to inspect verified docker-compose configurations, hardware sizing, and deployment guides.
Supabase
Apache-2.0⭐ 110.8k+The open-source Firebase alternative powered by real PostgreSQL, PostgREST, and Elixir Realtime.
✅ Advantages
- 100% standard PostgreSQL — zero proprietary database lock-in
- Row Level Security (RLS) lets client apps query DB directly with full safety
- Built-in pgvector extension turns Supabase into an AI embeddings database
- Vibrant ecosystem and multi-language client libraries (JS, Python, Flutter, Swift)
⚠️ Trade-offs / Limitations
- Multi-container docker compose stack requires at least 4GB RAM
- Self-hosting lacks the managed Web UI one-click upgrades of the cloud platform
- Edge Functions require Deno runtime setup on your host
Core Features
version: '3.8'
services:
studio:
image: supabase/studio:latest
restart: unless-stopped
ports:
- "3000:3000"
environment:
STUDIO_PG_META_URL: http://meta:8080
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-SuperSecretPassword123}
DEFAULT_ORGANIZATION_NAME: Default
DEFAULT_PROJECT_NAME: Production
kong:
image: kong:2.8.1-alpine
restart: unless-stopped
ports:
- "8000:8000"
- "8443:8443"
environment:
KONG_DATABASE: "off"
KONG_DECLARATIVE_CONFIG: /var/lib/kong/kong.yml
volumes:
- ./kong.yml:/var/lib/kong/kong.yml:ro
auth:
image: supabase/gotrue:v2.158.0
restart: unless-stopped
environment:
GOTRUE_API_HOST: 0.0.0.0
GOTRUE_API_PORT: 9999
API_EXTERNAL_URL: ${API_EXTERNAL_URL:-http://localhost:8000}
GOTRUE_DB_DRIVER: postgres
GOTRUE_DB_DATABASE_URL: postgres://supabase_auth_admin:${POSTGRES_PASSWORD}@db:5432/postgres
GOTRUE_SITE_URL: ${SITE_URL:-http://localhost:3000}
GOTRUE_JWT_SECRET: ${JWT_SECRET:-super-secret-jwt-token-at-least-32-chars}
rest:
image: postgrest/postgrest:v12.0.2
restart: unless-stopped
environment:
PGRST_DB_URI: postgres://authenticator:${POSTGRES_PASSWORD}@db:5432/postgres
PGRST_DB_SCHEMAS: public,storage
PGRST_DB_ANON_ROLE: anon
PGRST_JWT_SECRET: ${JWT_SECRET:-super-secret-jwt-token-at-least-32-chars}
db:
image: supabase/postgres:15.1.1.78
restart: unless-stopped
ports:
- "5432:5432"
environment:
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-SuperSecretPassword123}
volumes:
- db-data:/var/lib/postgresql/data
volumes:
db-data:🚀 5-Minute Deployment Guide
- 1Provision a VPS with at least 4GB RAM and 2 vCPUs (e.g. Hetzner CX22 or DigitalOcean Droplet).
- 2Install Docker and Docker Compose plugin: `curl -fsSL https://get.docker.com | sh`.
- 3Clone the official self-hosting template: `git clone --depth 1 https://github.com/supabase/supabase`.
- 4Navigate to `cd supabase/docker` and copy the environment template: `cp .env.example .env`.
- 5Generate secure JWT secrets and strong database passwords with `openssl rand -hex 32`.
- 6Launch all backend microservices: `docker compose up -d`.
- 7Expose port 8000 (Kong Gateway) and port 3000 (Studio) behind Caddy or Nginx with Let's Encrypt SSL.
Recommended Cloud VPS for Supabase
Compare all VPS hosts →CX22 (2 vCPU, 4GB RAM, 40GB NVMe)
Best value for running the full Supabase Docker stack.
Deploy on Hetzner →Regular Droplet (2 vCPU, 4GB RAM, 80GB SSD)
Includes $200 in free trial credits for new accounts.
Claim $200 DO Credit →High Performance (2 vCPU, 4GB RAM, 64GB NVMe)
Worldwide deployment with low-latency NVMe drives.
Deploy on Vultr →PocketBase
MIT⭐ 61.2k+Single-binary open-source backend with embedded SQLite, real-time subscriptions, and admin dashboard.
✅ Advantages
- Tiny footprint: runs on a 512MB RAM / $3.50/mo server effortlessly
- Zero microservice complexity: single binary file, no external DB daemon needed
- Instant deployment with single command and automatic SQLite schema management
- Built-in file storage with automatic image thumbnail creation
⚠️ Trade-offs / Limitations
- Single-node vertical scaling (SQLite WAL model)
- No native SQL query editor in the UI (uses collection filter syntax)
Core Features
version: '3.8'
services:
pocketbase:
image: ghcr.io/muchobien/pocketbase:latest
restart: unless-stopped
ports:
- "8090:8090"
volumes:
- pb_data:/pb_data
command:
- --dir=/pb_data
- --http=0.0.0.0:8090
volumes:
pb_data:🚀 5-Minute Deployment Guide
- 1Launch an entry-level VPS (512MB - 1GB RAM) running Ubuntu 24.04 or Debian 12.
- 2Install Docker or run the PocketBase binary directly using `systemd`.
- 3Create a data directory `mkdir -p /opt/pocketbase/pb_data`.
- 4Start PocketBase via Docker Compose or run `./pocketbase serve --http=0.0.0.0:8090`.
- 5Open `http://your-server-ip:8090/_/` in your browser to create the initial admin account.
- 6Configure reverse proxy (Caddy or Nginx) for HTTPS on your custom domain.
Recommended Cloud VPS for PocketBase
Compare all VPS hosts →CX22 (2 vCPU, 4GB RAM)
Supercharged performance for PocketBase SQLite.
Deploy on Hetzner →Basic Droplet (1 vCPU, 1GB RAM)
Perfect for micro-SaaS and side projects.
Claim $200 DO Credit →Appwrite
BSD-3-Clause⭐ 57.5k+Secure end-to-end BaaS with multi-database support, serverless functions, and rich SDKs.
✅ Advantages
- Polished, intuitive administration console
- Comprehensive multi-platform SDKs (Flutter, React Native, Apple, Android, Web)
- Built-in serverless runtime out of the box
⚠️ Trade-offs / Limitations
- Document DB abstraction layer over relational storage
- Requires 2GB+ RAM for stable multi-container execution
Core Features
version: '3'
services:
appwrite:
image: appwrite/appwrite:1.5.8
restart: unless-stopped
ports:
- "80:80"
- "443:443"
volumes:
- appwrite-uploads:/storage/uploads:rw
- appwrite-data:/storage/data:rw
- appwrite-config:/storage/config:rw
environment:
- _APP_ENV=production
- _APP_OPENSSL_KEY_V1=your-secret-openssl-key-here
- _APP_DOMAIN=appwrite.yourdomain.com
volumes:
appwrite-uploads:
appwrite-data:
appwrite-config:🚀 5-Minute Deployment Guide
- 1Provision a 2GB RAM VPS on Hetzner or DigitalOcean.
- 2Install Docker: `curl -fsSL https://get.docker.com | sh`.
- 3Run official installer: `docker run -it --rm -v /var/run/docker.sock:/var/run/docker.sock -v $(pwd)/appwrite:/usr/src/code/appwrite:rw --entrypoint="install" appwrite/appwrite:1.5.8`.
- 4Answer setup prompts for hostname and HTTP/HTTPS ports.
- 5Navigate to your domain to complete initial admin setup.
Recommended Cloud VPS for Appwrite
Compare all VPS hosts →CX22 (2 vCPU, 4GB RAM)
Affordable hardware with ample RAM for Appwrite.
Deploy on Hetzner →Nhost
MIT⭐ 9.3k+Open-source Firebase alternative built on Hasura GraphQL, PostgreSQL, and S3-compatible storage with managed migrations.
✅ Advantages
- GraphQL-first API eliminates REST boilerplate and under-fetching
- Real-time subscriptions via GraphQL on any table without extra wiring
- Schema migrations and Hasura metadata are version-controlled in a single source of truth
- Drop-in replacement for Firestore when client apps already use GraphQL
⚠️ Trade-offs / Limitations
- GraphQL permission model is more rigid than Supabase Row Level Security for ad-hoc queries
- Self-hosted Hasura requires Hasura-specific operational knowledge (metadata, migrations)
- Hasura Cloud dependency removed but version upgrades occasionally break metadata
Core Features
version: '3.8'
services:
postgres:
image: postgres:15-alpine
container_name: nhost-postgres
restart: always
environment:
POSTGRES_DB: nhost
POSTGRES_USER: nhost
POSTGRES_PASSWORD: nhost_secure_pass_2026
volumes:
- nhost_pg_data:/var/lib/postgresql/data
networks:
- selfhost_net
hasura:
image: hasura/graphql-engine:v2.44.0
container_name: nhost-hasura
restart: always
ports:
- "8080:8080"
environment:
HASURA_GRAPHQL_DATABASE_URL: postgres://nhost:nhost_secure_pass_2026@postgres:5432/nhost
HASURA_GRAPHQL_ENABLE_CONSOLE: "true"
HASURA_GRAPHQL_DEV_MODE: "false"
HASURA_GRAPHQL_ADMIN_SECRET: nhost_admin_secret_change_me
HASURA_GRAPHQL_UNAUTHORIZED_ROLE: anonymous
depends_on:
- postgres
networks:
- selfhost_net
auth:
image: nhost/hasura-auth:0.33.0
container_name: nhost-auth
restart: always
ports:
- "4000:4000"
environment:
HASURA_GRAPHQL_DATABASE_URL: postgres://nhost:nhost_secure_pass_2026@postgres:5432/nhost
HASURA_GRAPHQL_ADMIN_SECRET: nhost_admin_secret_change_me
AUTH_PROVIDER_EMAILS_ENABLED: "true"
depends_on:
- postgres
networks:
- selfhost_net
storage:
image: nhost/hasura-storage:0.6.0
container_name: nhost-storage
restart: always
ports:
- "5000:5000"
environment:
HASURA_GRAPHQL_DATABASE_URL: postgres://nhost:nhost_secure_pass_2026@postgres:5432/nhost
HASURA_GRAPHQL_ADMIN_SECRET: nhost_admin_secret_change_me
depends_on:
- postgres
networks:
- selfhost_net
volumes:
nhost_pg_data:
networks:
selfhost_net:
external: true🚀 5-Minute Deployment Guide
- 1Provision Hetzner CX22 (2 vCPU 4GB RAM) or CPX11 (2 vCPU 2GB RAM) running Ubuntu 24.04.
- 2Install Docker: `curl -fsSL https://get.docker.com | sh`.
- 3Create `/opt/nhost` and save the docker-compose.yml above.
- 4Generate a strong admin secret with `openssl rand -hex 32` and replace `HASURA_GRAPHQL_ADMIN_SECRET`.
- 5Launch the stack with `docker compose up -d`.
- 6Access the Hasura Console at `http://your-server-ip:8080/console` and connect tables.
- 7Put Caddy or Nginx in front of port 8080 for HTTPS on `hasura.yourdomain.com`.
Recommended Cloud VPS for Nhost
Compare all VPS hosts →CX22 (2 vCPU, 4GB RAM, 40GB NVMe)
Plenty of headroom for Hasura + Postgres + Auth + Storage on a single 4GB node.
Deploy on Hetzner →Regular Droplet (2 vCPU, 4GB RAM, 80GB SSD)
Comfortable for Nhost production stack with $200 in 60-day trial credits.
Claim $200 DO Credit →Parse Server
Apache-2.0⭐ 21.4k+Mature open-source BaaS from Facebook with MongoDB or PostgreSQL backend, push notifications, and LiveQuery real-time.
✅ Advantages
- Largest mobile SDK ecosystem in self-hosted BaaS (iOS, Android, Flutter, React Native, Unity)
- Battle-tested by Facebook for years before they open-sourced it in 2016
- Schema migration tooling and dashboard UI bundled via parse-dashboard
- No proprietary query language — REST and GraphQL both available out of the box
⚠️ Trade-offs / Limitations
- No built-in row-level security like Supabase RLS — must enforce in Cloud Code
- Real-time requires MongoDB replica set (oplog) or extra PostgreSQL trigger setup
- Project velocity has slowed since 2020 — community-maintained rather than full-time BaaS vendor
Core Features
version: '3.8'
services:
mongo:
image: mongo:7
container_name: parse-mongo
restart: always
ports:
- "27017:27017"
environment:
MONGO_INITDB_ROOT_USERNAME: parse
MONGO_INITDB_ROOT_PASSWORD: parse_secure_pass_2026
volumes:
- parse_mongo_data:/data/db
networks:
- selfhost_net
parse-server:
image: parseplatform/parse-server:7.0.0
container_name: parse-server
restart: always
depends_on:
- mongo
ports:
- "1337:1337"
environment:
DATABASE_URI: mongodb://parse:parse_secure_pass_2026@mongo:27017/parse?authSource=admin
APPLICATION_ID: parse-app-id-change-me
MASTER_KEY: parse-master-key-change-me
SERVER_URL: http://your-server-ip:1337/parse
networks:
- selfhost_net
parse-dashboard:
image: parseplatform/parse-dashboard:6.0.0
container_name: parse-dashboard
restart: always
depends_on:
- parse-server
ports:
- "4040:4040"
environment:
PARSE_DASHBOARD_CONFIG: |
{
"apps": [
{
"appId": "parse-app-id-change-me",
"masterKey": "parse-master-key-change-me",
"serverURL": "http://parse-server:1337/parse",
"appName": "Parse Self-Hosted"
}
],
"users": [
{
"user": "admin",
"pass": "admin_secure_pass_2026"
}
]
}
networks:
- selfhost_net
volumes:
parse_mongo_data:
networks:
selfhost_net:
external: true🚀 5-Minute Deployment Guide
- 1Provision a 2GB RAM VPS on Hetzner (CX22 €3.79/mo) or DigitalOcean ($12/mo).
- 2Install Docker: `curl -fsSL https://get.docker.com | sh`.
- 3Create `/opt/parse-server` directory and save the docker-compose.yml above.
- 4Generate strong APPLICATION_ID, MASTER_KEY, and dashboard credentials with `openssl rand -hex 32`.
- 5Launch with `docker compose up -d` — Parse API on 1337, Dashboard on 4040.
- 6Update `SERVER_URL` to your HTTPS endpoint and put Caddy/Nginx in front for SSL.
- 7Optionally enable MongoDB replica set for LiveQuery real-time subscriptions.
Recommended Cloud VPS for Parse Server
Compare all VPS hosts →CX22 (2 vCPU, 4GB RAM, 40GB NVMe)
Single-node host for Parse Server + MongoDB + Dashboard comfortably under 2GB RAM.
Deploy on Hetzner →High Performance (1 vCPU, 2GB RAM, 55GB NVMe)
Affordable NVMe-backed host ideal for Parse Server with low-latency MongoDB.
Deploy on Vultr →Quick Specification Matrix
| Tool | License | Min RAM | Min CPU | GitHub Repo | Primary Advantage |
|---|---|---|---|---|---|
| Firebase & Supabase Cloud (Proprietary) | Proprietary Closed | Managed Cloud | Managed Cloud | N/A | Turnkey onboarding with vendor lock-in & paywalls |
| Supabase | Apache-2.0 | 4 GB | 2 vCPU | supabase/supabase | 100% standard PostgreSQL — zero proprietary database lock-in |
| PocketBase | MIT | 256 MB | 1 vCPU | pocketbase/pocketbase | Tiny footprint: runs on a 512MB RAM / $3.50/mo server effortlessly |
| Appwrite | BSD-3-Clause | 2 GB | 1 vCPU | appwrite/appwrite | Polished, intuitive administration console |
| Nhost | MIT | 2 GB | 2 vCPU | nhost/nhost | GraphQL-first API eliminates REST boilerplate and under-fetching |
| Parse Server | Apache-2.0 | 1 GB | 1 vCPU | parse-community/parse-server | Largest mobile SDK ecosystem in self-hosted BaaS (iOS, Android, Flutter, React Native, Unity) |
Performance Benchmarks & Hard Operational Limits
Real-world operational trade-offs, resource consumption limits, and measured throughput.
| Benchmark Metric | Firebase & Supabase Cloud Baseline | Self-Hosted Alternative Metric | Operational Bottleneck / Limit | Source |
|---|---|---|---|---|
| Database Read Latency (p95) | 35ms - 85ms (Firestore multi-region cloud overhead) | 3ms - 8ms (Direct local Postgres / SQLite query) | Network hops between app servers and multi-tenant cloud datacenters. | Supabase Performance Docs |
| Realtime WebSocket Message Concurrency | 100,000 connections (hard limit per Firestore database) | 50,000 - 250,000 concurrent sockets per 8GB VPS node (Elixir engine) | Linux file descriptor limits (`ulimit -n`) and available RAM per socket. | Supabase Realtime Benchmarks |
| Cold Start Latency (Auth / API) | 450ms - 2,500ms (Firebase Cloud Functions cold starts) | 0ms (Always-on compiled Go / Node daemon processes) | Serverless container spin-up vs persistent daemon processes. | Production Test |
Frequently Asked Questions
Practical deployment, migration, and maintenance answers.
How do I handle automated daily database backups for self-hosted Supabase?▾
Supabase stores all application state in PostgreSQL. You can configure a daily cron job that executes `pg_dump` or uses tools like pgBackRest / Wal-G to stream WAL logs directly to an S3-compatible bucket (such as Cloudflare R2 or Hetzner Object Storage). Combine this with VPS snapshot policies for full disaster recovery.
Can I use standard Firebase client SDKs with self-hosted alternatives?▾
No. Self-hosted alternatives have their own open-source client SDKs (for JavaScript, Flutter, Swift, Kotlin, Python). Supabase provides an API surface modeled around PostgreSQL queries with TypeScript generation, while PocketBase offers lightweight SDKs with built-in reactive subscriptions.
Is PocketBase suitable for high-traffic production workloads?▾
Yes, for applications up to tens of thousands of concurrent users. PocketBase uses SQLite in WAL mode, capable of handling 10,000+ read queries per second on a $5/mo VPS. If your application requires horizontal multi-node scaling with active-active write distribution, Supabase with PostgreSQL is the recommended choice.
How does self-hosted Supabase handle user authentication and social OAuth logins?▾
Supabase uses GoTrue, an open-source Go authentication service that supports email/password, magic links, phone OTP, and 20+ OAuth providers (GitHub, Google, Apple, Discord, etc.). You configure OAuth client IDs and secrets directly in your `docker-compose.yml` or `.env` file.
What are the minimum hardware requirements to self-host Supabase in production?▾
Supabase consists of several interconnected containers (Postgres, Kong, GoTrue, PostgREST, Realtime, Storage). A minimum of 2 vCPU and 4GB RAM is required for stable production operations. For low-resource setups (< 1GB RAM), PocketBase or Appwrite are significantly lighter alternatives.
When should I pick Nhost over Supabase if I'm coming from Firebase Firestore?▾
Pick Nhost if your client apps already speak GraphQL or you want auto-generated GraphQL queries with row-level permissions modelled in Hasura instead of PostgREST. Hasura compiles GraphQL directly from your PostgreSQL schema with subscriptions built-in, which maps cleanly to Firestore's real-time listener model. Pick Supabase if you prefer a REST-first API, want Row Level Security in PostgreSQL itself (more flexible than Hasura's permission editor), or need mature pgvector/PostGIS extensions. Both run the same underlying PostgreSQL — the difference is API surface and permission model.
Can I migrate an existing Parse.com or Firebase app to self-hosted Parse Server without losing data?▾
Yes. Parse Server speaks the original Parse.com protocol, so existing Parse client SDKs (iOS, Android, Flutter, React Native, Unity, JavaScript) connect without code changes. For data migration, use the official `parse-cli` export/import commands to move classes and rows between Parse Server instances, or run the legacy Parse.com mongodb dump directly into the new MongoDB storage adapter. For Firebase, the standard path is: (1) export Firestore collections to JSON via the Firebase CLI `firestore:export`, (2) write a Node.js script that creates Parse objects via the REST API, and (3) migrate Firebase Auth users by hashing passwords with the same bcrypt cost factor Parse expects.
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