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DBMS > Kinetica vs. Oracle Coherence vs. Realm vs. Spark SQL

System Properties Comparison Kinetica vs. Oracle Coherence vs. Realm vs. Spark SQL

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOracles in-memory data grid solutionA 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 processing
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score7.41
Rank#52  Overall
#8  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.kinetica.comwww.oracle.com/­java/­coherencerealm.iospark.apache.org/­sql
Technical documentationdocs.kinetica.comdocs.oracle.com/­en/­middleware/­standalone/­coherencerealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperKineticaOracleRealm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2012200720142014
Current release7.1, August 202114.1, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaScala
Server operating systemsLinuxAll OS with a Java VMAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C++
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoLive Eventsyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, with selectable consistency levelnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users and roles on table levelauthentification to access the cache via certificates or http basic authenticationyesno

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KineticaOracle CoherenceRealmSpark SQL
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