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Document Databases: MongoDB, Elasticsearch and Firebase

Databases

Document Databases

Modern NoSQL solutions for scalable applications. Store, search, synchronize, and deliver data efficiently using document-oriented platforms.

3Core technologies
FlexibleSchema model
Real-timeApplication data
SearchAnalytics ready

MongoDB

Flexible Document Storage

MongoDB stores data as BSON documents. It is useful when applications need flexible schemas, fast development, and scalable backend storage.

Best for
  • Web applications
  • Backend APIs
  • Microservices
  • Product catalogues
  • Content management systems
BSONAggregationShardingAtlas

Elasticsearch

Search & Analytics

Elasticsearch is built for fast search, filtering, aggregations, logs, observability, and analytics across large volumes of documents.

Best for
  • Full-text search
  • Log management
  • Security analytics
  • Monitoring and observability
  • Large-scale data exploration
SearchAggregationsKibanaILM

Firebase Firestore

Real-time Cloud Database

Firestore is designed for cloud-native and mobile applications where real-time synchronization and offline support are important.

Best for
  • Mobile apps
  • React applications
  • Live collaboration
  • Notifications
  • Serverless projects
Real-timeOfflineSecurity RulesCloud

Compare Technologies

FeatureMongoDBElasticsearchFirebase
Document model
Real-time updates
Full-text search
Scalability
Offline support
Best use caseFlexible appsSearch & logsMobile apps

Architecture Example

💻Application
⚙️API Layer
🍃MongoDB
🔎Elasticsearch
👥Users
🔥Firebase
A modern application can use MongoDB for flexible storage, Elasticsearch for search and analytics, and Firebase for real-time user experience.

Key Takeaways

Document databasesThey provide flexibility, scalability, and fast development for modern applications.
MongoDBBest for flexible backend storage and general-purpose application data.
ElasticsearchBest for search, analytics, logs, monitoring, and observability.
FirebaseBest for mobile apps, real-time sync, and serverless applications.
Right choiceThe correct database depends on the application goal and data access pattern.
MongoDBElasticsearchFirebaseNoSQLSearchAnalyticsReal-timeCloud