FireMongo Bridge Extension - Pre-Installation Guide

💰 Pricing Information

This extension uses Firebase’s pay-per-use pricing model with no fixed monthly cost.

What’s Included

• Real-time Firestore to MongoDB synchronization
• Batch processing for existing documents
• Data transformation for Firestore-specific types
• Management APIs for monitoring and control
• Automatic index creation
• Comprehensive error handling and logging
• Connection pooling and performance optimization

Costs

• Cloud Functions: Pay per invocation (~$0.40/million invocations)
• Firestore: Standard read/write costs (~$0.06/100K reads, ~$0.18/100K writes)
• MongoDB: Your MongoDB provider costs (Atlas, self-hosted, etc.)

Cost Estimation Example

For a typical application with:

• 10,000 documents
• 1,000 daily updates
• 100 daily reads

Monthly Cost Breakdown:

• Cloud Functions: ~$0.12
• Firestore Operations: ~$0.05
• Total: ~$0.17/month

Visit Firebase Pricing for detailed pricing information.

📋 Prerequisites

Required Setup

1. Firebase Project: Must have billing enabled
2. MongoDB Database: Atlas cluster or self-hosted MongoDB
3. Firebase CLI: For local development and testing
4. Node.js 20+: For development environment

MongoDB Requirements

• MongoDB 4.4+ (recommended: 6.0+)
• Network access from Google Cloud Functions
• User with read/write permissions
• Sufficient storage for your data

Firebase Requirements

• Blaze (pay-as-you-go) billing plan
• Firestore database enabled
• Cloud Functions API enabled
• Appropriate IAM permissions

🔧 What You Need Before Installing

1. MongoDB Connection String

mongodb+srv://username:password@cluster.mongodb.net/database

• Username and password for MongoDB access
• Cluster hostname and port
• Database name
• Connection options (if needed)

2. Collection Planning

Decide on your collection mapping strategy:

{
  "users": "firestore_users",
  "products": "firestore_products",
  "orders": "firestore_orders"
}

3. Sync Strategy

Choose your synchronization mode:

• Real-time: Immediate sync for all changes
• Batch: Manual sync only (for compliance or cost control)

4. Performance Considerations

• Document Size: Large documents may require smaller batch sizes
• Collection Count: More collections = more function invocations
• Update Frequency: High-frequency updates increase costs
• Data Volume: Consider MongoDB storage and performance

🚀 Common Use Cases

1. Analytics and Reporting

• Sync Firestore data to MongoDB for complex analytics
• Use MongoDB aggregation pipelines
• Integrate with BI tools

2. Backup and Compliance

• Create MongoDB backups of Firestore data
• Meet regulatory requirements
• Disaster recovery planning

3. Multi-Database Architecture

• Use Firestore for real-time features
• Use MongoDB for complex queries
• Hybrid application architecture

4. Data Migration

• Migrate from Firestore to MongoDB
• Gradual transition strategy
• A/B testing with both databases

🔒 Security Considerations

MongoDB Security

• Use MongoDB Atlas for managed security
• Enable network access lists
• Use strong authentication
• Consider encryption at rest

Firebase Security

• MongoDB credentials stored as secrets
• No sensitive data in logs
• CORS configured for management APIs
• Input validation on all parameters

Network Security

• MongoDB must be accessible from Google Cloud
• Consider VPC peering for private networks
• Use SSL/TLS for all connections

📊 Performance Guidelines

Recommended Settings

• Batch Size: 100-500 documents (adjust based on document size)
• Memory: 512MB for real-time sync, 1GB for batch processing
• Timeout: 540 seconds for large collections
• Concurrency: 1000 for real-time sync

Optimization Tips

1. Indexes: Enable for better query performance
2. Collection Mapping: Use to organize data efficiently
3. Batch Processing: Use for large initial syncs
4. Monitoring: Watch function logs for performance issues

🚨 Important Notes

Data Consistency

• Real-time sync provides eventual consistency
• Small delays possible during high load
• Use management API to verify sync status

Error Handling

• Failed operations are logged with details
• Automatic retry for transient errors
• Manual recovery options available

Monitoring

• Function logs available in Firebase Console
• Sync status API for monitoring
• Performance metrics in Cloud Functions

Limitations

• Maximum document size: 1MB (MongoDB limit)
• Maximum batch size: 1000 documents
• Function timeout: 540 seconds
• Memory limit: 1GB per function

🆘 Getting Help

Before Installation

• Review Firebase Extensions Documentation
• Check MongoDB Node.js Driver Documentation
• Test MongoDB connectivity from Google Cloud

After Installation

• Use management API to verify setup
• Check function logs for any issues
• Monitor sync status regularly

Support Resources

• Firebase Community
• MongoDB Community
• Stack Overflow

✅ Installation Checklist

Before proceeding with installation, ensure you have:

• Firebase project with billing enabled
• MongoDB database accessible from Google Cloud
• MongoDB connection string ready
• Collection mapping strategy planned
• Sync mode decided (real-time vs batch)
• Performance requirements understood
• Security measures in place
• Monitoring strategy planned

🎯 Next Steps

After installation:

1. Configure extension parameters
2. Test MongoDB connectivity
3. Run initial sync for existing data
4. Verify sync status
5. Monitor performance and costs
6. Set up alerts and monitoring

---

Ready to install? Proceed to the installation step and configure your extension parameters.