Updated December 13, 2023
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.
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.
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