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DBMS > Firebase Realtime Database vs. MarkLogic vs. ObjectBox vs. Yanza

System Properties Comparison Firebase Realtime Database vs. MarkLogic vs. ObjectBox vs. Yanza

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMarkLogic  Xexclude from comparisonObjectBox  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Operational and transactional Enterprise NoSQL databaseExtremely fast embedded database for small devices, IoT and MobileTime Series DBMS for IoT Applications
Primary database modelDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Object oriented DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.marklogic.comobjectbox.ioyanza.com
Technical documentationfirebase.google.com/­docs/­databasedocs.marklogic.comdocs.objectbox.io
DeveloperGoogle infoacquired by Google 2014MarkLogic Corp.ObjectBox LimitedYanza
Initial release2012200120172015
Current release11.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++
Server operating systemshostedLinux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes infoSQL92nono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Proprietary native APIHTTP API
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infovia XQuery or JavaScriptnono
TriggersCallbacks are triggered when data changesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transactionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesno
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access control at the document and subdocument levelsyesno
More information provided by the system vendor
Firebase Realtime DatabaseMarkLogicObjectBoxYanza
News

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Firebase Realtime DatabaseMarkLogicObjectBoxYanza
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