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DBMS > Realm vs. Spark SQL vs. STSdb vs. Ultipa

System Properties Comparison Realm vs. Spark SQL vs. STSdb vs. Ultipa

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonUltipa  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 methodHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument storeRelational DBMSKey-value storeGraph 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
Score0.16
Rank#332  Overall
#29  Graph DBMS
Websiterealm.iospark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.ultipa.com
Technical documentationrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.ultipa.com/­document
DeveloperRealm, acquired by MongoDB in May 2019Apache Software FoundationSTS Soft SCUltipa
Initial release2014201420112019
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 servicenononono
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
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
.NET Client APIRESTful HTTP API
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
C#
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessarynono
Triggersyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmno
User concepts infoAccess controlyesnono

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RealmSpark SQLSTSdbUltipa
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