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Firebase vs PocketBase 2026: Pricing, Scale & Features

Firebase is a comprehensive, enterprise-grade backend-as-a-service with global infrastructure and advanced features, while PocketBase is a lightweight, self-hosted open-source alternative that costs significantly less and offers more control but requires manual DevOps management.

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Firebase (Google Cloud)

Fully managed backend platform by Google with Firestore, Authentication, Hosting, and Cloud Functions.

Startups scaling rapidly, teams without DevOps expertise, apps requiring sub-100ms global latency, enterprise applications needing 99.99% SLA

Score67%
VS
P

PocketBase

Open-source backend-as-a-service with SQLite, real-time subscriptions, and minimal resource requirements.

Indie developers, small teams building MVPs, projects with budget constraints, apps prioritizing data ownership, educational purposes

Score67%

Quick Answer

AI Summary

Firebase is a comprehensive, enterprise-grade backend-as-a-service with global infrastructure and advanced features, while PocketBase is a lightweight, self-hosted open-source alternative that costs significantly less and offers more control but requires manual DevOps management.

Our Verdict

AI-assisted

Choose Firebase if you need enterprise-grade reliability, multi-region deployment, advanced authentication, and are building apps for millions of users where DevOps overhead is a concern. Choose PocketBase if you're building small-to-medium projects, want full data ownership, prefer open-source solutions, and can handle basic server management or use a managed hosting provider.

Community feedback

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Firebase (Google Cloud)
8/10
PocketBase
7/10
P
F

Choose Firebase (Google Cloud) if

Best pick

Startups scaling rapidly, teams without DevOps expertise, apps requiring sub-100ms global latency, enterprise applications needing 99.99% SLA

P

Choose PocketBase if

Indie developers, small teams building MVPs, projects with budget constraints, apps prioritizing data ownership, educational purposes

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Key Differences at a Glance

  • Hosting Model:PocketBase wins(Self-hosted or managed options vs Fully managed cloud (Google))
  • Base Pricing Model:PocketBase wins($0 open-source + hosting costs vs $0-299/month + usage costs)
  • Global Latency:Firebase (Google Cloud) wins(Multi-region with <100ms latency vs Single region dependent on hosting)
See all 7 differences

Key Facts & Figures

20 numeric metrics compared

MetricFirebase (Google Cloud)PocketBaseRatio
Firestore Read Cost (per 100K)(USD)$0.06
Firestore Write Cost (per 100K)(USD)$0.18
Minimum Monthly Cost(USD)Free tier ($0), then $6/month for 50GB storage
Average Function Response Latency(milliseconds)100-200ms (Cloud Functions warm start)
Concurrent Writes Per Document Limit(writes/second)500 writes/second
Max Query Filters (without workarounds)(number)10 composite filters max
Built-in Authentication Providers(count)15+ providers (Google, GitHub, Apple, Twitter, Microsoft, etc.)
Monthly Cost (Small App)(USD)$25-75 (Spark + usage)$5-20 (hosting only)
Monthly Cost (Large App @ 1M users)(USD)$500-5000+ (scaling)$50-500 (or custom VPS)
Global Latency(milliseconds)<100ms (multi-region)50-500ms (location-dependent)
Database Size Limit(GB)1GB free / unlimited paidDisk-dependent (typically 100GB+)
Authentication Providers(count)12+ built-in (Google, Apple, GitHub, Microsoft, etc.)3-4 native (Email, OAuth via extensions)
Free Tier Database Storage(GB)1GBUnlimited (self-hosted)
Concurrent Users (Single Instance)(count)Unlimited (auto-scaling)500-1000 (single server)
Monthly Cost (1M reads, 100K writes)(USD)$5-15 (VPS hosting)$5-15 (VPS hosting)
Real-time Database Operations Latency(ms)5-205-20
Deployment Binary Size(MB)1515
Global Server Regions(count)1 (self-chosen)1 (self-chosen)
Data Export Complexity(steps)1 (SQL dump)1 (SQL dump)
Setup Time to First API Call(minutes)3-53-5

Sourced from publicly available data ·

Key Differences

7 attributes compared head-to-head

F(
3Firebase (Google Cloud)
PocketBase leads
P
4PocketBase
  • Hosting Model

    Firebase (Google Cloud)

    Fully managed cloud (Google)

    PocketBase

    Self-hosted or managed options(winner)

  • Base Pricing Model

    Firebase (Google Cloud)

    $0-299/month + usage costs

    PocketBase

    $0 open-source + hosting costs(winner)

  • Global Latency

    Firebase (Google Cloud)

    Multi-region with <100ms latency(winner)

    PocketBase

    Single region dependent on hosting

  • Real-time Database

    Firebase (Google Cloud)

    Firestore + Realtime Database(winner)

    PocketBase

    SQLite with WebSocket sync

  • Authentication Methods

    Firebase (Google Cloud)

    12+ providers (Google, Apple, GitHub, etc.)(winner)

    PocketBase

    Email/password, OAuth via extensions

  • Vendor Lock-in Risk

    Firebase (Google Cloud)

    High (proprietary APIs)

    PocketBase

    Low (open-source, portable)(winner)

  • Learning Curve

    Firebase (Google Cloud)

    Moderate (extensive docs)

    PocketBase

    Low (simpler architecture)(winner)

Full Comparison

FFirebase (Google Cloud)
PPocketBase
Firestore Read Cost (per 100K)(USD)
$0.06
Firestore Write Cost (per 100K)(USD)
$0.18
Minimum Monthly Cost(USD)
Free tier ($0), then $6/month for 50GB storage
Monthly Cost (Small App)(USD)
$25-75 (Spark + usage)
$5-20 (hosting only)
Monthly Cost (Large App @ 1M users)(USD)
$500-5000+ (scaling)
$50-500 (or custom VPS)
Show 2 more attributes
Free Tier Database Storage(GB)
1GB
Unlimited (self-hosted)
Monthly Cost (1M reads, 100K writes)(USD)
$5-15 (VPS hosting)
Average Function Response Latency(milliseconds)
100-200ms (Cloud Functions warm start)
Concurrent Writes Per Document Limit(writes/second)
500 writes/second
Global Latency(milliseconds)
<100ms (multi-region)
50-500ms (location-dependent)
Real-time Database Operations Latency(ms)
5-20
Max Query Filters (without workarounds)(number)
10 composite filters max
Built-in Authentication Providers(count)
15+ providers (Google, GitHub, Apple, Twitter, Microsoft, etc.)
Authentication Providers(count)
12+ built-in (Google, Apple, GitHub, Microsoft, etc.)
3-4 native (Email, OAuth via extensions)
Developer Community Size(active developers)
800,000+ questions (10+ years)
Database Size Limit(GB)
1GB free / unlimited paid
Disk-dependent (typically 100GB+)
Setup Time(hours)
5-10 minutes (Google account required)
30-60 minutes (Docker/server setup)
Concurrent Users (Single Instance)(count)
Unlimited (auto-scaling)
500-1000 (single server)
Deployment Binary Size(MB)
15
Global Server Regions(count)
1 (self-chosen)
Data Export Complexity(steps)
1 (SQL dump)
Max Concurrent Connections (free tier)(concurrent users)
Unlimited (hardware dependent)
Setup Time to First API Call(minutes)
3-5

Pros & Cons

12 pros·6 cons across both

F(
P
F(

Firebase (Google Cloud)

+6-3

Pros

  • Global CDN with <100ms latency across 200+ countries
  • Firestore NoSQL database with ACID transactions and automatic scaling
  • 12+ authentication providers including Google, Apple, GitHub, Microsoft
  • Serverless Cloud Functions with 2M free invocations/month
  • Real-time Firestore sync for collaborative apps
  • Built-in security rules engine with granular access control

Cons

  • Unpredictable costs at scale; storage and bandwidth charges accumulate quickly
  • High vendor lock-in; migrating from Firestore requires significant refactoring
  • Limited free tier (1GB database, 10GB bandwidth, 50K reads/day)
P

PocketBase

+6-3

Pros

  • Completely free and open-source; MIT licensed for commercial use
  • Single 15MB binary; deployable on $5/month hosting (Fly.io, Railway)
  • SQLite backend with automatic migrations and full ACID compliance
  • Built-in admin dashboard for data management without separate tools
  • WebSocket-based real-time subscriptions for live updates
  • Email/password authentication plus OAuth2 support via community extensions

Cons

  • Single-region deployment limits latency optimization; global replication requires manual setup
  • No automatic scaling; performance caps at single-server capacity (~1K concurrent users)
  • Requires manual DevOps for backups, monitoring, and server maintenance

Frequently Asked Questions

5 questions

  1. Migration is possible but requires work. You'll need to export Firestore data, transform it to relational schema, import into PocketBase, and rewrite client code since APIs differ. Average migration time is 2-4 weeks for medium projects. PocketBase's open-source nature makes it a better long-term choice if you're concerned about vendor lock-in.

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