Skip to content
devpages
Submit

Elasticsearch vs MongoDB

Elasticsearch and MongoDB are both listed under Databases in the DevPages directory. This page puts the details we hold for each of them side by side.

It does not score them and does not pick a winner. Fields the catalog has no value for say “Not recorded” rather than being filled in with a guess.

Elasticsearch vs MongoDB field by field

Elasticsearch, MongoDB compared field by field. Values are taken from the DevPages catalog; fields we hold no value for read “Not recorded”.
Elasticsearch
MongoDB
CategoryDatabasesDatabases
Pricing modelFreemiumFreemium
Open sourceYesNot recorded
GitHub stars78.5K28.7K
Key features
  • Full-text search with relevance scoring
  • Distributed architecture and clustering
  • Real-time data ingestion and indexing
  • Powerful aggregations and analytics
  • Multi-tenancy and security features
  • RESTful API and JSON documents
  • Machine learning capabilities
  • Geospatial and time-series support
  • Flexible document-based data model
  • Rich query language and aggregation
  • Horizontal scaling with sharding
  • ACID transactions across documents
  • Built-in replication and high availability
  • GridFS for large file storage
  • Text search and geospatial queries
  • Change streams for real-time updates
Use cases
  • Application and website search
  • Log and event data analysis
  • Business intelligence and analytics
  • Security information and event management
  • E-commerce product search
  • Real-time application monitoring
  • Geospatial data analysis
  • Machine learning and AI applications
  • Web and mobile application backends
  • Content management systems
  • Real-time analytics and IoT
  • Product catalogs and inventory
  • User profiles and personalization
  • Event logging and monitoring
  • Agile development and prototyping
  • Multi-location data management
Integrations
  • Kibana
  • Logstash
  • Beats
  • Java
  • Python
  • Node.js
  • Spring Data
  • Docker
  • Node.js
  • Python
  • Java
  • C#
  • Express.js
  • Mongoose
  • Spring Data
  • Kubernetes
Tags
  • search
  • analytics
  • full-text
  • distributed
  • lucene
  • elk-stack
  • nosql
  • document
  • json
  • scaling
  • cloud
  • atlas
Links

What each one is

Elasticsearch

Distributed search and analytics engine built on Apache Lucene

Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. Built on Apache Lucene, it provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. It's the heart of the Elastic Stack.

Full Elasticsearch listing

MongoDB

Document-oriented NoSQL database for modern applications

MongoDB is a leading NoSQL database that stores data in flexible, JSON-like documents. It's designed for modern application development with features like horizontal scaling, rich query language, and strong consistency. MongoDB is ideal for applications requiring flexible schemas and rapid development cycles.

Full MongoDB listing

Related comparisons

Build a comparison

Choose two to 4 tools. Your selection is kept in this browser only.

Selected

  • Elasticsearch
  • MongoDB
Compare 2 tools

2 of 4 tools selected: Elasticsearch, MongoDB.

Or return to all comparisons.