ArangoDB vs MongoDB

Struggling to choose between ArangoDB and MongoDB? Both products offer unique advantages, making it a tough decision.

ArangoDB is a Development solution with tags like nosql, multimodel, graph, document, search.

It boasts features such as Multi-model database supporting documents, graphs and key-value pairs, Flexible data models, High performance, Scalable distributed architecture, Built-in search engine, Native graph database, Joins and transactions across data models, Role-based access control, Encryption, Backups and replication and pros including Supports multiple data models in one database, Good performance for reads and writes, Scales horizontally, Has a free open source edition, Query language AQL is similar to SQL, Can be deployed on-prem or in the cloud.

On the other hand, MongoDB is a Development product tagged with nosql, document-database, open-source.

Its standout features include Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability, and it shines with pros like Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

ArangoDB

ArangoDB

ArangoDB is a native multi-model database system that supports graph, document, and search models. It is designed for scalability, high performance, and ease of use.

Categories:
nosql multimodel graph document search

ArangoDB Features

  1. Multi-model database supporting documents, graphs and key-value pairs
  2. Flexible data models
  3. High performance
  4. Scalable distributed architecture
  5. Built-in search engine
  6. Native graph database
  7. Joins and transactions across data models
  8. Role-based access control
  9. Encryption
  10. Backups and replication

Pricing

  • Open Source
  • Subscription-Based

Pros

Supports multiple data models in one database

Good performance for reads and writes

Scales horizontally

Has a free open source edition

Query language AQL is similar to SQL

Can be deployed on-prem or in the cloud

Cons

Not as popular as MongoDB or Neo4j

Limited ecosystem compared to bigger vendors

Steep learning curve for complex queries

No commercial support for open source edition


MongoDB

MongoDB

MongoDB is a popular open-source, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, rather than rows and columns used in traditional RDBMS. MongoDB is scalable, high-performance and easy to use.

Categories:
nosql document-database open-source

MongoDB Features

  1. Document-oriented storage
  2. Automatic sharding
  3. Rich and expressive query language
  4. High availability
  5. Horizontal scalability

Pricing

  • Open Source
  • Subscription-Based

Pros

Flexible schema

High performance

Easy scalability

Rich query capabilities

High availability

Cons

No transactions

No joins

Limited query flexibility compared to SQL

Steep learning curve