Firebase Cost Trimmer - Intelligent Caching with Enterprise Security

Reduce Firebase Firestore costs by 40-50% with production-grade caching and built-in security.

🌐 Visit trimwares.com - Official website & documentation

Stop paying for duplicate Firebase reads. This optimizer combines intelligent 3-tier caching with enterprise-grade security to reduce Firestore costs by 40-50%. Free to use, production-ready.

📚 Looking for Examples?

This repository contains the source code and API documentation. For copy-paste ready examples, guides, and tutorials, visit:

👉 Firebase Cost Trimmer Examples Repository

The examples repo includes:

• ✅ Quick start examples (React & Vanilla JS)
• ✅ Migration guides from raw Firebase
• ✅ Real-world use cases and patterns
• ✅ Performance benchmarks

Quick Actions

🌐 trimwares.com • ⭐ Star this repo • 📦 View on npm • 📚 View Examples • 🐛 Report Bug • 💡 Request Feature • 💖 Support This Project

💝 Saving Money? Support This Project!

This optimizer is 100% free. If it's helping you save hundreds or thousands per year, consider a monthly donation to support continued development.

☕ Monthly Support on Ko-fi • One-time donation • View all support options ↓

Who Is This For?

✅ Perfect For

• Read-heavy applications - SaaS dashboards, content sites, e-commerce platforms where data is read far more than written
• Security-conscious teams - Projects requiring strict data isolation between users and compliance with GDPR/HIPAA
• Cost-sensitive projects - Teams looking to cut Firestore costs by 40-50% without sacrificing security
• Production applications - Apps that need reliable, battle-tested caching with enterprise-grade security

⚠️ May Not Need This

• Write-heavy applications - Real-time collaboration tools where data changes constantly (cache invalidation overhead may outweigh benefits)
• Hobby projects - Simple apps where security isn't critical and basic caching libraries suffice
• Low-traffic apps - Projects with minimal read operations where Firebase costs are already negligible

Why Firebase Cost Trimmer?

The Firebase Cost Problem

Firebase Firestore charges per read operation. Apps with active users often read the same data repeatedly:

• Product catalogs loaded on every page view
• User profiles fetched on every session
• Dashboard data refreshed unnecessarily
• Category lists queried multiple times

The solution: Cache frequently-accessed data while maintaining security and data integrity.

What Makes This Different

✅ Security-first design: User isolation, audit logging, permission enforcement built-in ✅ One-line setup: quickFirebase(app) - that's it ✅ 40-50% cost reduction: Intelligent caching with production-grade security ✅ Framework agnostic: React, Vue, Angular, Node.js - works everywhere ✅ Zero external dependencies: No cloud services, no usage tracking, 100% local ✅ Production tested: Real Firebase SDK, real network latency, real security validation

Security-First Architecture

Unlike basic caching libraries, this optimizer prioritizes security and data integrity:

Security Features Included

✅ User Isolation: Complete data separation between users in cache ✅ Permission Enforcement: Role-based access control (RBAC) on every operation ✅ Audit Logging: Track all read/write operations for compliance ✅ Session Management: Automatic 24-hour session expiration ✅ Cache Invalidation: Intelligent invalidation on writes to prevent stale data ✅ Data Sanitization: Optional PII masking for sensitive fields

This is not a basic cache - it's an enterprise-grade optimization layer.

Quick Start (30 seconds)

Install

npm install @tthbfo2/firebase-cost-trimmer firebase

Initialize

import { initializeApp } from 'firebase/app';
import { quickFirebase } from '@tthbfo2/firebase-cost-trimmer';

// 1. Initialize Firebase as normal
const app = initializeApp({
  apiKey: "your-api-key",
  projectId: "your-project-id",
  // ... your Firebase config
});

// 2. Wrap with optimizer (one line!)
const optimizer = quickFirebase(app);

// 3. Register your user (enables security)
optimizer.registerUser({
  uid: 'user-123',
  email: '[email protected]',
  role: 'user'
});

// 4. Use optimized operations
const data = await optimizer.readDocument('user-123', 'products/product-1');
// Second read hits cache - saves money! 💰

That's it! You now have secure caching with 40-50% cost savings.

Verified Performance

Real-World Testing Methodology

We validated performance with production-grade testing on live Firebase projects (not emulator):

Test Environment: Live Firebase Project (production-grade validation)
Test Duration: 40+ hours continuous operation
Operations: 6,000+ read/write operations
Workload Pattern: 80/20 Pareto distribution (realistic user behavior)
Security: Full user isolation + permission checks enabled
Network: Real network conditions (no simulation)

Results:
✅ Cost Savings: 40-50% average
✅ Reliability: 100% (0 errors, 0 data leaks)
✅ Cache Hit Rate: 40-50% average (security-validated hits)
✅ Response Time: <10ms average (vs 45-150ms Firebase direct)

Why live testing matters: Firebase Emulator is unreliable for performance metrics. All performance claims are validated against real Firebase infrastructure.

Performance vs Security Tradeoff

| Cache Type | Hit Rate | Security Level | Status | |------------|----------|----------------|--------| | No security (raw cache) | 70-80% | ❌ None | Not recommended | | Basic security (lite checks) | 55-65% | ⚠️ Medium | Risky for production | | Enterprise security (v1.0.0) | 40-50% | ✅ High | Production-ready |

We chose security over raw performance. Your data safety is worth the tradeoff.

How It Works

Intelligent 3-Tier Cache Architecture

L1 Cache (Hot Data)
├─ Capacity: 200 entries per user
├─ TTL: 3 minutes
├─ Use case: Frequently accessed data
└─ Access time: <1ms

L2 Cache (Warm Data)
├─ Capacity: 600 entries per user
├─ TTL: 5 minutes
├─ Use case: Recently accessed data
└─ Access time: <2ms

L3 Cache (Cold Data)
├─ Capacity: 1,500 entries per user
├─ TTL: 10 minutes
├─ Use case: Infrequently accessed data
└─ Access time: <5ms

Total: 2,300 cached documents per user (fully isolated)

Security-Aware Caching Strategy

1. User registers → Session created with permissions
2. First read → Permission check → Fetch from Firebase → Cache with user isolation
3. Second read → Permission check → Serve from user's isolated cache
4. Write operation → Permission check → Update Firebase → Invalidate user's cache
5. TTL expiration → Automatic refresh on next access

Every cache hit is security-validated. Performance never compromises safety.

API Reference

Core Operations

// Read single document (with caching + security)
const product = await optimizer.readDocument(
  userId: string,
  path: string,
  options?: { fields?: string[] }
);

// Read collection (with caching + security)
const products = await optimizer.readCollection(
  userId: string,
  path: string,
  options?: { queryConstraints?: QueryConstraint[] }
);

// Secure write (invalidates cache)
await optimizer.writeSecure(userId: string, [{
  type: 'create' | 'update' | 'delete',
  path: string,
  data?: any
}]);

// Real-time listener (cache-aware)
const unsubscribe = await optimizer.listenToDocument(
  userId: string,
  path: string,
  callback: (data) => void
);

// Get cache statistics
const stats = optimizer.getCacheStats();
console.log('Cache hit rate:', stats.hitRate); // 0.40 - 0.50

User Management

// Register user with default permissions
optimizer.registerUser({
  uid: 'user-123',
  email: '[email protected]',
  role: 'user' // 'user' | 'admin' | 'readonly'
});

// Register user with custom permissions
optimizer.registerUser({
  uid: 'user-123',
  email: '[email protected]',
  role: 'user',
  permissions: {
    canRead: ['products/*', 'categories/*'],
    canWrite: ['users/user-123/*'],
    canDelete: ['users/user-123/temp/*']
  }
});

Use Cases

E-Commerce & Product Catalogs

Scenario: Product pages viewed 100x more than products are updated

// Product detail page - cached with security
const product = await optimizer.readDocument(userId, `products/${productId}`);

// Category browsing - shared across users but security-checked
const electronics = await optimizer.readCollection(
  userId,
  'categories/electronics/products'
);

Savings: 40-50% reduction in read costs

SaaS Applications

Scenario: User settings, team configs accessed on every page load

// User profile - cached per user session
const profile = await optimizer.readDocument(userId, `users/${userId}`);

// Team settings - cached with permission checks
const teamSettings = await optimizer.readDocument(userId, `teams/${teamId}/settings`);

Savings: 40-50% reduction in read costs

Content Platforms

Scenario: Blog posts, articles read by many users

// Blog post - cached across readers with security
const post = await optimizer.readDocument(userId, `posts/${postId}`);

// Author info - cached separately per user
const author = await optimizer.readDocument(userId, `authors/${authorId}`);

Savings: 40-50% reduction in read costs

Security & Compliance

Built-In Security

Every operation includes:

1. User Authentication: Valid session required
2. Permission Check: Role-based access control enforced
3. User Isolation: Complete cache separation between users
4. Audit Trail: All operations logged for compliance
5. Cache Invalidation: Automatic invalidation on writes

Compliance Ready

| Standard | Status | Required Configuration | |----------|--------|----------------------| | GDPR | ✅ Ready | User consent + data sanitization enabled by default | | HIPAA | ⚙️ Configurable | Enable encryptSensitiveData: true | | PCI-DSS | ⚙️ Configurable | Enable encryptSensitiveData: true + anomalyDetection: true |

// HIPAA/PCI-DSS compliance mode
const optimizer = new DatabaseOptimizer(adapter, cacheConfig, {
  enableSecurity: true,
  securityConfig: {
    userIsolation: true,           // ✅ Always enabled
    auditLogging: true,             // ✅ Always enabled
    encryptSensitiveData: true,     // Enable for PHI/PCI
    anomalyDetection: true,         // Enable for advanced security
    dataSanitization: true          // Auto-mask PII
  }
});

Framework Integration

React - Built-in Hooks

NEW: Firebase DB Optimizer now includes production-ready React hooks with automatic loading states, error handling, and real-time updates.

Setup with OptimizerProvider

// App.tsx - Wrap your app with OptimizerProvider
import { initializeApp } from 'firebase/app';
import { quickFirebase } from '@tthbfo2/firebase-cost-trimmer';
import { OptimizerProvider } from '@tthbfo2/firebase-cost-trimmer/react';

const app = initializeApp({ /* your config */ });
const optimizer = quickFirebase(app, 'balanced');

// Register your user
optimizer.registerUser({
  uid: 'user-123',
  email: '[email protected]',
  role: 'user'
});

function App() {
  return (
    <OptimizerProvider optimizer={optimizer}>
      <YourApp />
    </OptimizerProvider>
  );
}

useDocument - Read Single Documents

Automatically handles loading, errors, and caching for document reads.

import { useDocument } from '@tthbfo2/firebase-cost-trimmer/react';

interface Product {
  name: string;
  price: number;
  description: string;
}

function ProductDetail({ productId }: { productId: string }) {
  const { data, loading, error } = useDocument<Product>(
    'user-123',
    `products/${productId}`,
    { cache: true, ttl: 60000 } // Cache for 60 seconds
  );

  if (loading) return <div>Loading...</div>;
  if (error) return <div>Error: {error.message}</div>;

  return (
    <div>
      <h1>{data?.name}</h1>
      <p>${data?.price}</p>
      <p>{data?.description}</p>
    </div>
  );
}

useCollection - Query Collections with Pagination

Query collections with automatic pagination support using loadMore().

import { useCollection } from '@tthbfo2/firebase-cost-trimmer/react';

function ProductList() {
  const { data, loading, error, hasMore, loadMore } = useCollection<Product>(
    'user-123',
    'products',
    {
      constraints: [
        { field: 'category', operator: '==', value: 'electronics' },
        { type: 'orderBy', field: 'price', direction: 'asc' },
        { type: 'limit', limit: 20 }
      ]
    }
  );

  return (
    <div>
      {data.map((product, i) => (
        <ProductCard key={i} product={product} />
      ))}

      {hasMore && (
        <button onClick={loadMore} disabled={loading}>
          {loading ? 'Loading...' : 'Load More'}
        </button>
      )}
    </div>
  );
}

Real-time Updates

Enable real-time listeners with realtime: true option.

function LiveProductList() {
  const { data, loading, error } = useCollection<Product>(
    'user-123',
    'products',
    {
      realtime: true, // Enables real-time updates
      constraints: [
        { type: 'orderBy', field: 'createdAt', direction: 'desc' },
        { type: 'limit', limit: 10 }
      ]
    }
  );

  // Data automatically updates when Firestore changes!
  return (
    <div>
      <h2>Live Product Feed</h2>
      {data.map((product, i) => (
        <ProductCard key={i} product={product} />
      ))}
    </div>
  );
}

useWrite - Handle Write Operations

Manage create, update, and delete operations with loading states.

import { useWrite } from '@tthbfo2/firebase-cost-trimmer/react';

function CreateProduct() {
  const { write, loading, error } = useWrite('user-123');

  const handleSubmit = async (formData) => {
    await write([
      {
        type: 'create',
        path: `products/${Date.now()}`,
        data: {
          name: formData.name,
          price: formData.price,
          category: formData.category
        }
      }
    ]);
  };

  return (
    <form onSubmit={handleSubmit}>
      {/* form fields */}
      <button type="submit" disabled={loading}>
        {loading ? 'Creating...' : 'Create Product'}
      </button>
      {error && <div>Error: {error.message}</div>}
    </form>
  );
}

useDelete - Handle Deletions

import { useDelete } from '@tthbfo2/firebase-cost-trimmer/react';

function ProductCard({ productId }: { productId: string }) {
  const { deleteDoc, loading, error } = useDelete('user-123');

  const handleDelete = async () => {
    await deleteDoc(`products/${productId}`);
  };

  return (
    <div>
      {/* product info */}
      <button onClick={handleDelete} disabled={loading}>
        {loading ? 'Deleting...' : 'Delete'}
      </button>
      {error && <div>Error: {error.message}</div>}
    </div>
  );
}

useCacheStats - Monitor Performance

Track cache hit rates and performance metrics in real-time.

import { useCacheStats } from '@tthbfo2/firebase-cost-trimmer/react';

function CacheMonitor() {
  const stats = useCacheStats();

  return (
    <div>
      <h3>Cache Performance</h3>
      <p>Total Operations: {stats.totalOperations}</p>
      <p>Cache Hits: {stats.cacheHits}</p>
      <p>Cache Misses: {stats.cacheMisses}</p>
      <p>Hit Rate: {((stats.cacheHits / stats.totalOperations) * 100).toFixed(1)}%</p>
    </div>
  );
}

All Available Hooks

import {
  OptimizerProvider,      // Provider component
  useOptimizerContext,    // Access optimizer instance
  useDocument,            // Read single document
  useCollection,          // Query collection
  useWrite,               // Create/update operations
  useDelete,              // Delete operations
  useCacheStats           // Monitor cache performance
} from '@tthbfo2/firebase-cost-trimmer/react';

React (Manual Integration)

If you prefer not to use hooks, you can integrate manually:

import { quickFirebase } from '@tthbfo2/firebase-cost-trimmer';
import { useState, useEffect } from 'react';

function ProductDetail({ productId, userId }) {
  const [product, setProduct] = useState(null);

  useEffect(() => {
    optimizer.readDocument(userId, `products/${productId}`)
      .then(setProduct);
  }, [productId]);

  return <div>{product?.name}</div>;
}

Vue 3

<script setup>
import { ref, onMounted } from 'vue';
import { optimizer } from './firebase';

const product = ref(null);

onMounted(async () => {
  product.value = await optimizer.readDocument(
    userId,
    `products/${productId}`
  );
});
</script>

Next.js Server Components

// app/products/[id]/page.tsx
import { optimizer } from '@/lib/firebase';

export default async function ProductPage({ params }) {
  const product = await optimizer.readDocument(
    'server-user',
    `products/${params.id}`
  );

  return <ProductDetails product={product} />;
}

TypeScript Support

Fully typed with comprehensive type definitions:

import type {
  DatabaseOptimizer,
  CacheConfig,
  SecurityConfig,
  AuthContext,
  CacheStats
} from '@tthbfo2/firebase-cost-trimmer';

// Full IntelliSense support
const optimizer: DatabaseOptimizer = quickFirebase(app);
const stats: CacheStats = optimizer.getCacheStats();

Community & Roadmap

What's Next?

This optimizer is community-driven. Future enhancements will be based on:

• 📊 Real-world usage patterns from users like you
• 💬 Feature requests and feedback from the community
• 🤝 Community contributions and pull requests
• 🎯 Industry-specific optimization research

We're listening! Your feedback shapes the future of this project.

💬 Share your use case 🗳️ Vote on features 🐛 Report bugs

Support This Project

If This Optimizer Saved You Money

This project is 100% free and will always be available. If this tool is saving you hundreds or thousands of dollars per year, consider supporting its continued development with a monthly donation.

We suggest 1-5% of your monthly savings as a fair ongoing contribution:

| Your Savings | Suggested Monthly Support | |--------------|-------------------------| | $100-500/month | $5-25/month | | $500-2,000/month | $25-100/month | | $2,000-5,000/month | $100-250/month | | $5,000+/month | $250-500+/month |

💎 Support Tiers

Choose the level that matches your savings:

☕ Coffee Support - $5

Best for: Saved $100-500/month

What you get:

• ✅ Thank you email
• ✅ Listed as supporter (optional)
• ✅ Access to supporters-only updates
• ✅ Good karma

☕ Monthly Support - $5/month on Ko-fi

🚀 Standard Support - $25 ⭐ MOST POPULAR

Best for: Saved $500-2,000/month

What you get:

• ✅ Everything in Coffee tier
• ✅ Priority bug reports (48hr response)
• ✅ Featured supporter badge
• ✅ Early access to new features
• ✅ Vote on roadmap priorities

☕ Monthly Support - $25/month on Ko-fi

💎 Premium Support - $100

Best for: Saved $2,000-5,000/month

What you get:

• ✅ Everything in Standard tier
• ✅ 1 hour optimization consultation (video call)
• ✅ Custom configuration review
• ✅ Direct support channel (email/Discord)
• ✅ Performance analysis of your setup

☕ Monthly Support - $100/month on Ko-fi

🏢 Enterprise Support - $500+

Best for: Saved $5,000+/month

What you get:

• ✅ Everything in Premium tier
• ✅ Custom optimization strategy session (2 hours)
• ✅ Team training for up to 5 developers
• ✅ Ongoing support package (3 months)
• ✅ Feature prioritization for your needs
• ✅ Architecture review and recommendations

☕ Monthly Support - $500+/month on Ko-fi

🎯 Custom Amount

Best for: Any amount that feels right to you

What you get:

• ✅ Our sincere gratitude
• ✅ Support tiers benefits based on amount
• ✅ Flexibility to contribute what you can afford

☕ One-time Donation on Ko-fi or Monthly Support

🔁 Prefer One-Time Donation?

You can also make a one-time contribution instead of monthly support:

→ One-time donation on Ko-fi

🙏 Can't Donate Right Now?

No problem! You can support this project for free by:

• ⭐ Star the repository - Star firebase-optimization-examples to help other developers discover this tool
• 💬 Share your success story - Leave a testimonial in GitHub Discussions
• 🐦 Share on social media - Tweet/LinkedIn about your savings and tag @tthbfo2
• 📝 Write a blog post - Share your experience and integration
• 🤝 Provide feedback - Share ideas & suggestions or report bugs

Your support (financial or otherwise) helps shape the future of this project!

Professional Support

Need Help or Custom Solutions?

For teams requiring additional assistance:

• 🔧 Custom optimization strategies for your specific use case
• 📊 Performance analysis and optimization consultation
• 🎓 Team training on Firebase cost optimization best practices
• 🏢 Professional support options available

Get in touch:

• 💬 GitHub Discussions
• 🐛 Create an Issue
• 📧 Email: [email protected]
• 🌐 Visit Trimwares.com for more tools and resources

We're here to help you maximize your Firebase cost savings.

FAQ

Q: How does this compare to basic caching libraries? A: Basic libraries offer 70-80% hit rates but no security. We offer 40-50% with enterprise-grade security. Choose based on your priority: raw performance vs. secure performance.

Q: Is the 40-50% savings guaranteed? A: Actual savings depend on your read/write ratio and data access patterns. Apps with >70% read operations see best results. Apps with high write volumes may see lower savings.

Q: Does it work with Firestore security rules? A: Yes! This optimizer adds an additional security layer on top of Firestore rules. Both systems work together.

Q: What's the performance overhead of security? A: Security adds ~5-10ms per operation (permission checks, audit logging, isolation). This is why we hit 40-50% instead of 70-80% like insecure caches.

Q: Is my data safe in the cache? A: Yes. Every user's cache is completely isolated. User A cannot access User B's cached data, even if they request the same document path.

Q: Can I contribute? A: Absolutely! We welcome contributions. See CONTRIBUTING.md for guidelines.

Q: Do I need to change my Firestore security rules? A: No! Keep your existing rules. This optimizer adds caching on the client side - your server-side security remains unchanged and fully enforced.

Q: What happens when I deploy updates to my data? A: Cache TTLs are configured for 3-10 minutes, so users will naturally see updates within that timeframe. For critical updates, use the built-in cache invalidation methods.

Q: Can I use this with Firebase Admin SDK (server-side)? A: This is designed for client-side Firebase SDK (web, React Native, etc.). For server-side Node.js with Admin SDK, implement caching at your API layer instead.

Q: Does this work with Firebase Realtime Database? A: Currently Firestore only. Realtime Database support is on the roadmap - vote for it here.

Q: Will this slow down my app? A: No! Cached reads are ~100x faster than Firebase reads (sub-millisecond vs. ~100ms network latency). Cache misses have a tiny ~5-10ms overhead.

Q: What about memory usage? A: The default "balanced" preset uses ~2,300 cache entries across 3 tiers. With average document sizes, this is typically 10-50MB of memory - negligible for modern devices.

Why We Chose Security Over Speed

Many Firebase caching libraries promise 70-90% cost savings by:

• ❌ Skipping permission checks
• ❌ Sharing cache across users (data leak risk)
• ❌ No audit trails (compliance risk)
• ❌ No session validation (security risk)

We took a different approach:

• ✅ Validate permissions on every operation
• ✅ Isolate cache completely between users
• ✅ Log every security event
• ✅ Validate every session

The result: 40-50% savings with zero security compromises.

🎉 Success Stories

Have you saved money with this optimizer? We want to hear about it!

Share your success story to help other developers discover this tool:

• 💰 How much are you saving per month?
• 🏢 What type of application are you running?
• 💡 Any tips for other developers?
• ⚡ What surprised you most about the results?

→ Share Your Story on GitHub Discussions

Your story helps others:

• Provides real-world validation
• Helps developers with similar apps
• Builds community trust
• Encourages future development

Recent Highlights

"Be the first to share your success story! We'd love to feature your results here."

Feedback & Feature Requests

We value your input! Help shape the future of this optimizer:

• 🐛 Report bugs - Open an issue
• 💡 Request features - Share your ideas
• 📊 Share results - Tell us how much you're saving in Success Stories!

Support

• 📖 Documentation
• 💬 GitHub Discussions
• 🐛 Report Bug
• 📧 Email: [email protected]
• 🌐 Website
• 💡 Request Feature

License

Apache License 2.0 - see LICENSE for details.

Acknowledgments

Built with engineering integrity by the tthbfo2 team.

Philosophy: We believe security and honesty matter more than inflated performance claims. This optimizer does exactly what it says - no more, no less.

Keywords for SEO

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⭐ If this saved you money while keeping your data secure, please star the repo!