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DBMS > NSDb vs. Oracle Coherence vs. OrigoDB vs. Spark SQL

System Properties Comparison NSDb vs. Oracle Coherence vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonOracle Coherence  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOracles in-memory data grid solutionA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSKey-value storeDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitensdb.iowww.oracle.com/­java/­coherenceorigodb.comspark.apache.org/­sql
Technical documentationnsdb.io/­Architecturedocs.oracle.com/­en/­middleware/­standalone/­coherenceorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOracleRobert Friberg et alApache Software Foundation
Initial release201720072009 infounder the name LiveDB2014
Current release14.1, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaJavaC#Scala
Server operating systemsLinux
macOS
All OS with a Java VMLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesall fields are automatically indexednoyesno
SQL infoSupport of SQLSQL-like query languagenonoSQL-like DML and DDL statements
APIs and other access methodsgRPC
HTTP REST
WebSocket
JCache
JPA
RESTful HTTP API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesJava
Scala
.Net
C++
Java
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersyes infoLive Eventsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with selectable consistency levelSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurableACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyes infooptionallyyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlauthentification to access the cache via certificates or http basic authenticationRole based authorizationno

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More resources
NSDbOracle CoherenceOrigoDBSpark SQL
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