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DBMS > Realm vs. Spark SQL vs. Splice Machine vs. STSdb

System Properties Comparison Realm vs. Spark SQL vs. Splice Machine vs. STSdb

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  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 processingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.70
Rank#52  Overall
#9  Document stores
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score0.54
Rank#257  Overall
#118  Relational DBMS
Score0.13
Rank#344  Overall
#51  Key-value stores
Websiterealm.iospark.apache.org/­sqlsplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsplicemachine.com/­how-it-works
DeveloperRealm, acquired by MongoDB in May 2019Apache Software FoundationSplice MachineSTS Soft SC
Initial release2014201420142011
Current release3.5.0 ( 2.13), September 20233.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaC#
Server operating systemsAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
JDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessarynoyes infoJavano
Triggersyes infoChange Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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 realmnoyes
User concepts infoAccess controlyesnoAccess rights for users, groups and roles according to SQL-standardno

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RealmSpark SQLSplice MachineSTSdb
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