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DBMS > Cubrid vs. Firebase Realtime Database vs. JaguarDB vs. mSQL vs. Splice Machine

System Properties Comparison Cubrid vs. Firebase Realtime Database vs. JaguarDB vs. mSQL vs. Splice Machine

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonJaguarDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Performant, highly scalable DBMS for AI and IoT applicationsmSQL (Mini SQL) is a simple and lightweight RDBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeKey-value store
Vector DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
firebase.google.com/­products/­realtime-databasewww.jaguardb.comhughestech.com.au/­products/­msqlsplicemachine.com
Technical documentationcubrid.org/­manualsfirebase.google.com/­docs/­databasewww.jaguardb.com/­support.htmlsplicemachine.com/­how-it-works
DeveloperCUBRID Corporation, CUBRID FoundationGoogle infoacquired by Google 2014DataJaguar, Inc.Hughes TechnologiesSplice Machine
Initial release20082012201519942014
Current release11.0, January 20213.3 July 20234.4, October 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3.0commercial infofree licenses can be providedOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++ infothe server part. Clients available in other languagesCJava
Server operating systemsLinux
Windows
hostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Procedureslimited functionality with using 'rules'nonoyes infoJava
TriggersyesCallbacks are triggered when data changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesrights management via user accountsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
CubridFirebase Realtime DatabaseJaguarDBmSQL infoMini SQLSplice Machine
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