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DBMS > Realm vs. Spark SQL vs. STSdb vs. TDSQL for MySQL

System Properties Comparison Realm vs. Spark SQL vs. STSdb vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#52  Overall
#9  Document stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.06
Rank#365  Overall
#55  Key-value stores
Score0.82
Rank#213  Overall
#97  Relational DBMS
Websiterealm.iospark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.tencentcloud.com/­products/­dcdb
Technical documentationrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperRealm, acquired by MongoDB in May 2019Apache Software FoundationSTS Soft SCTencent
Initial release2014201420112013
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#
Server operating systemsAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Windowshosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
.NET Client APIJDBC
ODBC
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
C#
Java
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessarynonoyes
Triggersyes infoChange Listenersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CorenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 infoIn-Memory realmnono
User concepts infoAccess controlyesnonoUsers with fine-grained authorization concept

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More resources
RealmSpark SQLSTSdbTDSQL for MySQL
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