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DBMS > MongoDB vs. ObjectBox vs. Realm

System Properties Comparison MongoDB vs. ObjectBox vs. Realm

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonObjectBox  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureExtremely fast embedded database for small devices, IoT and MobileA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeObject oriented DBMSDocument store
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score443.48
Rank#5  Overall
#1  Document stores
Score0.64
Rank#198  Overall
#11  Object oriented DBMS
Score8.59
Rank#46  Overall
#8  Document stores
Websitewww.mongodb.comobjectbox.iorealm.io
Technical documentationdocs.mongodb.com/­manualdocs.objectbox.iorealm.io/­docs
DeveloperMongoDB, IncObjectBox LimitedRealm, acquired by MongoDB in May 2019
Initial release200920172014
Current release4.2.8, June 2020
License infoCommercial or Open SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++C and C++
Server operating systemsLinux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BInono
APIs and other access methodsproprietary protocol using JSONProprietary native API
Supported programming languagesActionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
C
Go
Java
JavaScript infoplanned (as of Jan 2019)
Python infoplanned (as of Jan 2019)
Swift
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresJavaScriptnono inforuns within the applications so server-side scripts are unnecessary
Triggersyes infoin MongoDB Atlas onlynoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infopartitioned by hashed, ranged, or zoned sharding keysnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infooptionalyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2noyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and rolesyesyes
More information provided by the system vendor
MongoDBObjectBoxRealm
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Mobile Consumer Apps First-Line Worker Apps
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Realm database is licensed under the Apache License v2.0.
» more
News

Time Series & Objects: Using Data on the Edge
30 June 2020

Introducing: ObjectBox Generator, plus C++ API [Request for Feedback!]
16 June 2020

Why Edge Computing is More Relevant in 2020 Than Ever
29 April 2020

Why do we need Edge Computing for a sustainable future?
15 April 2020

Connecting database performance and business value – a fast edge database is a money saver
20 February 2020

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MongoDBObjectBoxRealm
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