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DBMS > Oracle NoSQL vs. Spark SQL vs. Trafodion

System Properties Comparison Oracle NoSQL vs. Spark SQL vs. Trafodion

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Editorial information provided by DB-Engines
NameOracle NoSQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#83  Overall
#14  Document stores
#13  Key-value stores
#45  Relational DBMS
Score21.87
Rank#34  Overall
#20  Relational DBMS
Score0.53
Rank#232  Overall
#112  Relational DBMS
Websitewww.oracle.com/­database/­technologies/­related/­nosql.htmlspark.apache.org/­sqltrafodion.apache.org
Technical documentationdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org
DeveloperOracleApache Software FoundationApache Software Foundation, originally developed by HP
Initial release201120142014
Current release21.1, April 20213.1.1, March 20212.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++, Java
Server operating systemsLinux
Solaris SPARC/x86
Linux
OS X
Windows
Linux
Data schemeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesyes
Typing infopredefined data types such as float or dateoptionalyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataconfigurable infoACID within a storage node (=shard)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 infooff heap cachenono
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Oracle NoSQLSpark SQLTrafodion
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