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DBMS > Firebase Realtime Database vs. Memcached vs. Splice Machine vs. SWC-DB vs. Valentina Server

System Properties Comparison Firebase Realtime Database vs. Memcached vs. Splice Machine vs. SWC-DB vs. Valentina Server

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonMemcached  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.In-memory key-value store, originally intended for cachingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMSObject-relational database and reports server
Primary database modelDocument storeKey-value storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.memcached.orgsplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.valentina-db.net
Technical documentationfirebase.google.com/­docs/­databasegithub.com/­memcached/­memcached/­wikisplicemachine.com/­how-it-worksvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogle infoacquired by Google 2014Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSplice MachineAlex KashirinParadigma Software
Initial release20122003201420201999
Current release1.6.25, March 20243.1, March 20210.5, April 20215.7.5
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
ODBC
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes infoJavanoyes
TriggersCallbacks are triggered when data changesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
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 Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyes, based on authentication and database rulesyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseMemcachedSplice MachineSWC-DB infoSuper Wide Column DatabaseValentina Server
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