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Home Data Science Data Science Tutorials Head to Head Differences Tutorial ArangoDB vs MongoDB
 

ArangoDB vs MongoDB

Lalita Gupta
Article byLalita Gupta
EDUCBA
Reviewed byRavi Rathore

Updated December 13, 2023

ArangoDB-vs-MongoDB

 

 

Difference Between ArangoDB vs MongoDB

  • ArangoDB and MongoDB databases are NoSQL databases that may seem identical at first glance. Still, they are slightly unlike when it approaches data modeling and querying.
  • The main difference Between the databases is that ArangoDB is more flexible and purposeful when functioning with graph data.
  • ArangoDB is defined as an inherent multi-model DBMS for graph, key/value, document, and search. It is all in one engine and available with one query language.
  • MongoDB is one of the most standard document stores accessible as a fully managed cloud service and for deployment on self-managed infrastructure.

Head-to-Head Comparison Between ArangoDB vs MongoDB (Infographics)

Below are the top differences between ArangoDB and MongoDB.

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ArangoDB vs MongoDB info

Key Differences

  • The ArangoDB and the MongoDB both are classified as Database tools.
  • Thus, the ArangoDB database tool is distributed and open-source, with a flexible data model described by developers for the graphs, documents, and related key values. It is built-in for high-performance applications by means of a convenient query language like SQL or JavaScript extensions.
  • Whereas MongoDB database tool is explained as a database for huge ideas that stores data records in JSON-like documents which can differ in structure, delivering a dynamic and flexible schema. Also, MongoDB was created to gain high availability and scalability by having built-in replication with Auto-Sharding.
  • ArangoDB is intended for quick development and easy clambering by decreasing development effort and supporting data-model flexibility. One can create production-ready session facilities in minutes with the support of the Foxx Microservices Framework.
  • Both database tools include Multi-Document Transactions and Multi-Collection Transactions.
  • ArangoDB and MongoDB both contain Text Search and Geospatial type indexing and queries. They also have Server-Side functions, and encryption is TLS/SSL type.
  • Both database tools include authentication and auditing with the enterprise version.
  • ArangoDB maintains all the elementary security necessities through the Foxx Microservice framework, where users can gain great security standards fitting specific needs.
  • Both database tools have JavaScript as server-side scripts.
  • ArrangoDB and MongoDB both have concurrency and durability with user access concepts.
  • ArangoDB has unique categories such as Graph Databases, Enterprise Search Software, Database as a Service, i.e., DBaaS, and Key-Value Databases. Whereas MongoDB includes no such distinct categories.

Comparison Table of ArangoDB vs MongoDB

Following explains the comparison of ArangoDB and MongoDB:

ArangoDB MongoDB
It was released in 2012 initially. It was initially released in 2009.
License: It is commercial/Apache 2 License: It is commercial/AGPLv3
It contains a commercial-friendly license. It does not contain a commercial-friendly license.
It is inscribed in the C++ programming language itself. It is written in the C++ programming language.
Its data model is multi-model documents, graphs, key-value. Its data model is a document.
It is schema-free having schema validation with Foxx. It is schema-free having further schema validation.
Its data format is JSON/VelocyPack. Its data format is JSON/BSON.
The data storage is MMFiles/RocksDB. The data storage is MMAPv1/WIREDTIGER.
It is a perseverance disk. It is perseverance to disk.
It has Auto-Sharding. It has Auto-Sharding.
The replication is sync/async with its conflict resolution as Master/Master and Master/Agent. The replication is async with its conflict resolution as Master/Agent.
It has elastic scalability and also on K8s. It does not have elastic scalability.
It holds zero configuration. It does not hold zero configuration.
It has native Apache Mesos support consisting of persistent primitives. It does not have native Apache Mesos support.
The transactional Model is ACID as well. The transactional Model is ACID.
SQL-like query language, AQL, is a declarative query language for all data models. It does not have any declarative query language.
It consists of innovative path-finding using many algorithms. It does not consist of innovative path-finding using many algorithms.
The TinkerPop support is available. The TinkerPop support is absent.
It also has role-based access control with attribute levels via the Foxx framework. It has role-based access control.
It contains web-based GUI, i.e., self-contained. It does not contain web-based GUI i.e., self-contained.
It further contains a Cluster-friendly GUI. It even does not contain Cluster friendly GUI.
The server operating systems where it can be used are Linux, OS X, and Windows. The server operating systems where it can be used are Linux, OS X, Solaris, and Windows.
It has no triggers. It has triggered.
It contains Foreign keys. It does not contain Foreign keys.
The key customers are Cisco, Siemens Mentor, Barclays, Kabbage, MakeMyTrip, Refinitive, Douglas, Liaison, etc. The key customers are ADP, Cisco, Bosch, Barclays, Adobe, Amadeus, Auto Trader, BBVA, CERN, AstraZeneca, etc.
ArangoDB has 8.14K GitHub stars with 575 forks. MongoDB has 16.2K GitHub stars with 4.08K forks.
Companies like Stepsize, AresRPG, and Brainhub use ArangoDB. A few popular companies, like Lyft, Bodybuilding.com, MIT, etc, use MongoDB.
It is listed in 11 company stacks with 13 developer stacks.  It has broader approval i.e. stated in 2175 company stacks with 2143 developer stacks.
It has good documentation. It also has decent documentation.
It includes Joins for collections. Joins are not supported.
The programming languages supported are C#, C++, Go, Java, Elixir, Clojure, Javascript, PHP, Node.js, R, Rust, and Python. The programming languages supported are C, C++, C#, D, Delphi, Go, Actionscript, ColdFusion, Dart, Erlang, Groovy, Java, Haskell, Lisp, JavaScript, Matlab, PHP, Perl, Python, Ruby, Swift, Rust, Scala, PowerShell, R, Prolog, Smalltalk, and Lua.
Job role openings can be Software Engineering at JPMorgan Chase Bank, N.A., in Mumbai. Job role openings can be Python Intern at Citrusbug Technolabs in Ahmedabad, Test Specialist Automation IBM in Bengaluru, Senior Quality Engineer Larsen & Toubro Infotech Limited, Full Stack Developers at RannLab Technologies in Agra, Python Developer at Innovate Technologies in Lonavale.
Some tools that can be integrated with ArangoDB are Spring Data, ArangoDB Foxx, Spring Data, FF4J, ArangoSearch, TypeArango, Foxx-Builder, and Cruddl. Some tools that can be integrated with MongoDB are Meteor, Datadog, Mongoose, Let’s Encrypt, Metabase, JSON, and MongoDBAtlas.

Conclusion

  • ArangoDB a database tool is developed by ArrangoDB Inc. whereas MongoDB database tool was industrialized by MongoDB Inc.
  • MongoDB is the foremost modern, common-purpose data platform, designed to release the authority of software and data for the creators and the applications they create.
  • ArangoDB characterizes a single engine, a single query language with multiple data models.

Recommended Articles

This is a guide to ArangoDB vs MongoDB. Here we discuss the ArangoDB vs MongoDB key differences with infographics and a comparison table. You may also have a look at the following articles to learn more –

  1. MPLS vs Internet
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