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.
| Category | Databases | Databases |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Open source | Yes | Not recorded |
| GitHub stars | 77.9K | 28.5K |
| Key features |
|
|
| Use cases |
|
|
| Integrations |
|
|
| Tags |
|
|
| Links |
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 listingDocument-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 listingChoose two to 4 tools. Your selection is kept in this browser only.
2 of 4 tools selected: Elasticsearch, MongoDB.
Or return to all comparisons.
