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ArangoDB vs MongoDB: Difference and Similarities


ArangoDB:


ArangoDB is a free and open-source native multi-model database system developed by ArangoDB GmbH. The database system supports three data models (key/value, documents, graphs) with one database core and a unified query language AQL (ArangoDB Query Language). The query language is declarative and allows the combination of different data access patterns in a single query. ArangoDB is a NoSQL database system but AQL is similar in many ways to SQL.


ArangoDB has been referred to as a universal database but its creators refer to it as a "native multi-model" database to indicate that it was designed specifically to allow key/value, document, and graph data to be stored together and queried with a common language.



MongoDB:


MongoDB is an open-source document database and leading NoSQL database. MongoDB is written in C++. This tutorial will give you great understanding on MongoDB concepts needed to create and deploy a highly scalable and performance-oriented database.


Features:
  • Ad-hoc queries for optimized, real-time analytics.

  • Indexing appropriately for better query executions.

  • Replication for better data availability and stability.

  • Sharding.

  • Load balancing.


Similarities between ArangoDB and MongoDB:

  1. ArangoDB and MongoDB databases both are NoSQL databases which may seem to be identical at the first glance but they are slightly unlike when it approaches data modeling as well as data querying.

  2. Both databases tools include Multi-Document Transactions and Multi-Collection Transactions.

  3. Both databases tools include authentication and auditing with enterprise version.

  4. Both database tools have JavaScript as server-side scripts.

  5. Both have concurrency and durability with user access concepts.


Difference between ArangoDB and MongoDB


MongoDB ArangoDB

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 as well as flexible schema. Also, this MongoDB was created to gain high availability and scalability by having built-in replication with Auto-Sharding.

ArangoDB database tool is a distributed and open-source having a flexible data model as 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.

It is written in C++ Programming Languages

It is inscribed in C++ programming Languages itself.

It is data model is document

Its data model is multi-model documents, graphs, key-value.

It is perseverance to disk.

Its is perseverance disk.

It does not have elastic scalability

it has elastic scalability and also on K8s.

It does not consist of innovative path-finding using many algorithms.

It consists of innovative path-finding using many algorithms.

The Tinkerpop support is absent

The TinkerPop support is available.

It does not contain web based GUI ie., self-contained.

It contains web based GUI ie., self-contained.

It has triggered.

It has no triggers.

The server operating systems where it can be used are Linux, OS X, Solaris, Windows.

The server operating systems where it can be used are Linux, OS X, Windows.

The key customers are ADP, Cisco, Bosch, Barclays, Adobe, Amadeus, Auto trader, BBVA, CERN,AstraZeneca, etc.

The key customers are Cisco, Siemens Mentor, Barclays, Kabbage, MakeMyTrip, Refinitive, Douglas, Liaison, etc.

MongoDB is used by few popular companies like Lyft, Bodybuilding.com, MIT, etc.

ArangoDB is used by the companies like Stepsize, AresRPG, and Brainhub.

Some tools that can be integrated with MongoDB are Meteor, Datadog, Mongoose, Let’s Encrypt, Metabase, JSON, and MongoDBAtlas.

Some tools that can be integrated with ArangoDB are Spring Data, ArangoDB Foxx, Spring Data, FF4J, ArangoSearch, TypeArango, Foxx-Builder, Cruddl.



The Tech Platform

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