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DBMS > Oracle Rdb vs. Realm vs. Splice Machine vs. StarRocks

System Properties Comparison Oracle Rdb vs. Realm vs. Splice Machine vs. StarRocks

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Editorial information provided by DB-Engines
NameOracle Rdb  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.95
Rank#193  Overall
#89  Relational DBMS
Websitewww.oracle.com/­database/­technologies/­related/­rdb.htmlrealm.iosplicemachine.comwww.starrocks.io
Technical documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrealm.io/­docssplicemachine.com/­how-it-worksdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperOracle, originally developed by Digital Equipment Corporation (DEC)Realm, acquired by MongoDB in May 2019Splice MachineThe Linux Foundation infosince Feb 2023
Initial release1984201420142020
Current release7.4.1.1, 20213.1, March 20213.3, June 2024
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemsHP Open VMSAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsJDBC
Native Spark Datasource
ODBC
JDBC
MySQL protocol
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessaryyes infoJavauser defined functions
Triggersyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDACIDno
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.noyes infoIn-Memory realmyesno
User concepts infoAccess controlyesAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rights

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