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Overview Fundamentals

Add Firebase - Apple platforms (iOS+)
Add Firebase - Android
Add Firebase - Web
Add Firebase - Flutter
Add Firebase - C++
Add Firebase - Unity
Add Firebase - Server environments
Manage Firebase projects
Supported platforms & frameworks

AI

Develop with AI assistance
Overview
Gemini in Firebase

Streamline development with an AI-powered assistant in Firebase interfaces and tools.
MCP, Gemini CLI, & agents

Access agentive development tools, like our MCP server and Gemini CLI extension.
Firebase Studio (deprecated)

Build and ship full-stack AI-infused apps right from your browser.

Build AI-powered apps
Firebase AI Logic

Build AI-powered mobile and web apps and features with the Gemini and Imagen models using Firebase AI Logic.
Genkit

Build full-stack AI-powered applications using this open-source framework.

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Authentication

Simplify user authentication and sign-in on a secure, all-in-one identity platform.
Phone Number Verification

Obtain the phone number of a device directly from the carrier, without SMS.
App Check

Protect your backend resources from abuse and unauthorized access.
Security Rules

Define granular, server-enforced rules to protect your database and storage data.

SQL Connect

Build and scale your apps using a fully-managed PostgreSQL relational database service.
Firestore

Store and sync data using a scalable NoSQL cloud database with rich data models and queryability.
Realtime Database

Store and sync data in realtime with a NoSQL cloud database.
Storage

Store and serve content like images, audio, video with a secure cloud-hosted solution.

App Hosting

Deploy your modern, full-stack web apps with server-side rendering and AI features.
Hosting

Deploy your static and single-page web apps to a global CDN with a single command.
Cloud Functions

Run backend code in response to events without provisioning or managing a server.
Extensions

Deploy pre-built integrations and solutions for common tasks.

Emulator Suite

Test your app in real-world conditions without affecting live data.

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Test Lab

Test your Android and iOS apps on a wide range of real and virtual devices, all in the cloud.
App Distribution

Streamline delivery of pre-release Android and iOS apps to trusted testers.
Crashlytics

Track, prioritize, and fix app stability issues.
Performance Monitoring

Gain real-time insight into your app's performance and fix issues.

Remote Config

Instantly change your app's behavior and appearance, without publishing an update.
A/B Testing

Test variants to make data-driven decisions about changes, features, and campaigns.
Cloud Messaging

Send notifications and messages to your users on Android, iOS, and the Web.
In-App Messaging

Engage your active users with targeted, contextual messages within your app.

Google Analytics

Gain insights into user behavior, and optimize your app's marketing and performance.
Google Admob

Monetize your app, gain user insights, and tailor the ad experience.
Google Ads

Run smarter campaigns, find high-value users, and measure in-app conversions.

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Overview
Emulator Suite
Authentication
Phone Number Verification
App Check
- Introduction
- Get started
- Default providers
- Custom providers
- Debug & test providers
- Monitor request metrics
- Standard Google services
- Cloud Functions for Firebase
- Enable enforcement
- Standard Google services
- Cloud Functions for Firebase
- Protect custom resources
- Send tokens from the client
- Verify tokens on the backend
SQL Connect
- Introduction
- Pricing and billing
- Get started
- Quickstarts
- React
- Flutter
- Design schemas and operations
- Design SQL Connect schemas
- Implement SQL Connect queries
- Implement SQL Connect mutations
- Secure operations with authorization
- Implement operations using native SQL
- Develop and test with SQL Connect
- Seed test data and perform bulk operations
- Generate Web SDKs
- Generate Android SDKs
- Generate iOS SDKs
- Generate Flutter SDKs
- Get real-time updates
- Generate Admin SDKs
- Use the SQL Connect emulator for CI/CD
- Manage SQL Connect projects
- Manage schemas and connectors
- Manage services and databases
- Run privileged operations with the Firebase Admin SDK
- SQL Connect solutions
- Use AI assistance for schemas, queries and mutations
- Extend with Cloud Functions
- Extend data source support with custom resolvers
- Perform vector similarity search
- Perform full-text search
- GraphQL language reference guides
- Directives reference
- Queries reference
- Mutations reference
- Objects reference
- Input objects reference
- Scalars reference
- Enums reference
- Additional reference guides
- CLI reference
- SQL Connect configuration file reference
- IAM configuration for SQL Connect projects
- Common Expression Language (CEL) reference
- Cloud Audit Logging reference
Cloud Firestore
- Introduction
- Cloud Firestore editions
  - Overview
  - Firestore Native mode in Standard and Enterprise editions
- Standard edition
- Discover
  - Overview of Core operations
  - Understand Firestore Standard edition
    Compare Cloud Firestore and Realtime Database
    Data model
    Data types
    SDKs and client libraries
    Index types
    Database locations
    Data bundles
- Get started with Core operations
  - Get started with mobile and web SDKs
  - Get started with server client libraries
- Manage databases
- Manage data
  - Add data
    Structure data
    Add data
    Transactions and batched writes
    Data contention in transaction
  - Query data with Core operations
    Get data
    Get real-time updates
    Perform simple and compound queries
    Order and limit data
    
    Query with range & inequality filters on multiple fields
    Overview
    Optimize your queries
    Summarize data with aggregation queries
    Paginate data with query cursors
    Access data offline
    Search with vector embeddings
    Manage indexes
  - Process and move data
    Manage Cloud Firestore with the Firebase console
    Export and import data
    Manage data retention with time-to-live policies
    Process data in bulk with Dataflow
    Move data between projects
  - Delete data
    Delete data
    Bulk delete data
- Secure and validate data
- Solutions
  - Overview
  - Solutions using Firebase Extensions
  - Integrate with BigQuery
  - Enhance value of media
  - Solutions using guided custom implementations
  - Develop generative AI features
  - Firestore Lite Web SDK
  - Write-time aggregations
  - Distributed counters
  - Build presence
  - Secure data access for users and groups
  - Secure data with customer-managed encryption keys (CMEK)
    About CMEK
    Use CMEK
  - Delete data with a callable Cloud Function
  - Schedule data exports
  - Sharded timestamps
  - Geo queries
  - Serve bundled Firestore content from a CDN
- Usage, limits, and pricing
- Monitor and troubleshoot
  - Analyze usage patterns with Key Visualizer
    Overview
    Get started
    Exploring heatmaps
    Heatmap patterns for document keys
    Heatmap patterns for index keys
- Backups and point-in-time recovery
  - Disaster recovery planning
  - Scheduled backups
  - Create a backup schedule and restore data
  - Perform an in-place restore
  - Point-in-time recovery (PITR)
  - PITR overview
  - Work with PITR
- Techniques and best practices
- Cloud Firestore integrations
- API & SDK reference
- Samples
- Enterprise edition
- Overview of Enterprise edition modes
- Native mode with Core and Pipeline operations
  - Overview of Native mode on Enterprise edition
  - Get started with Native mode
    Get started with mobile and web SDKs
    Get started with server client libraries
    Supported data types
  - Manage databases
    Create and manage databases
  - Manage data
    Add data using Firestore Core operations
    
    Indexing data
    Indexing overview
    Manage indexes
    
    Data behaviour and lifecycle management
    Manage data retention with TTL policies
    Understand reads and writes at scale
    Understand real-time queries at scale
    Extend with Cloud Functions for Firebase (2nd gen)
    Import and export data
    
    Query data with Firestore Core operations
    Get data
    Get realtime updates
    Access data offline
    Perform simple and compound queries
    
    Query data with Firestore Pipeline operations
    Get started with Pipeline operations
    Perform joins with subqueries
    
    Functions
    Aggregate Functions
    Arithmetic Functions
    Array Functions
    Comparison Functions
    Debugging Functions
    Generic Functions
    Logical Functions
    Map Functions
    Reference Functions
    String Functions
    Timestamp Functions
    Type Functions
    Vector Functions
    
    Stages
    
    Input Stages
    Collection
    Collection Group
    Database
    Documents
    Literals
    Subcollection
    
    Transformation Stages
    Add Fields
    Aggregate
    Distinct
    Find Nearest
    Let
    Limit
    Offset
    Remove Fields
    Replace With
    Sample
    Search
    Select
    Sort
    Unnest
    Union
    Where
    
    Output Stages
    Delete
    Update
    Modify data with Firestore Pipeline operations
    Use text search with Firestore Pipeline operations
    Use geospatial queries with Firestore Pipeline operations
    
    Delete data
    Delete data
    Bulk data delete
    
    Optimize query and usage performance
    Identify queries to optimize
    Analyze query execution with Query Explain
    Optimize query execution
    Query execution reference
  - Secure and validate data
    
    Security Rules
    Overview
    Get started
    Security Rules for Pipeline queries
    Structure Security Rules
    Writing conditions for Security Rules
    Fix insecure rules
    Test your Security Rules
    Securely query data
    Control access per field
    Identity and Access Management (IAM)
    VPC Service Controls
    Configure data locality with regional endpoints
    Server-side encryption
    
    Secure data with customer-managed encryption keys (CMEK)
    About CMEK
    Use CMEK
  - Usage, locations, and pricing
    Quotas and limits
    Analyze usage insights
    
    Pricing
    Pricing overview
    Read/Write operation pricing examples
    Query and real-time pricing examples
    Storage size calculations
    Locations for Native mode
  - Monitor and troubleshoot
    Monitor database metrics
    Audit logging
    Resolve latency issues
    Understand error codes
  - Backups and point-in-time recovery
    Disaster recovery planning
    Scheduled backups
    Create a backup schedule and restore data
    Perform an in-place restore
    Point-in-time recovery (PITR)
    PITR overview
    Work with PITR
- Firestore with MongoDB compatibility
  - Overview of MongoDB compatibility
  - Get started with MongoDB compatibility
    Create a Firestore with MongoDB compatibility database and connect to it
  - Manage databases
    Create and manage databases
  - Connect to a database
    Authenticate and connect to a database
  - Manage data
    
    Indexing data
    Indexing overview
    Manage indexes
    Read real-time data with change streams
    
    Data behaviour and lifecycle management
    Behavior differences
    Understand reads and writes at scale
    Extend with Cloud Functions for Firebase (2nd gen)
    Import and export data
    
    Supported MongoDB data types, drivers, and features
    Supported data types and drivers
    Supported features: 8.0
    Supported features: 7.0
    Supported features: 6.0
    Supported features: 5.0
    Supported features: 4.0
    Supported features: 3.6
    
    Delete data
    Bulk data delete
    
    Optimize query performance
    Identify queries to optimize
    Analyze query execution with Query Explain
    Optimize query execution
    Query execution reference
    Write MQL with Gemini assistance
    Use text search
    Use geospatial queries
    
    Use saved queries
    Overview
    Create and manage saved queries
  - Migrate
    Migrate to Firestore with MongoDB compatibility
    Best practices for bulk data loading
  - Secure and validate data
    Identity and Access Management (IAM)
    Configure Private Google Access with MongoDB compatibility
    VPC Service Controls
    Server-side encryption
    
    Secure data with customer-managed encryption keys (CMEK)
    About CMEK
    Use CMEK
  - Usage, locations, and pricing
    Quotas and limits
    Analyze usage insights
    
    Pricing
    Read/Write operation pricing examples
    Storage size calculations
    Locations for MongoDB compatibility
  - Monitor and troubleshoot
    Monitor database metrics
    Audit logging
    Resolve latency issues
    Understand error codes
  - Backups and point-in-time recovery
    Disaster recovery planning
    Scheduled backups
    Create a backup schedule and restore data
    Perform an in-place restore
    Point-in-time recovery (PITR)
    PITR overview
    Work with PITR
Realtime Database
Storage