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DBMS > Oracle Rdb vs. Spark SQL vs. Trafodion

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

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Editorial information provided by DB-Engines
NameOracle Rdb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#157  Overall
#76  Relational DBMS
Score21.87
Rank#34  Overall
#20  Relational DBMS
Score0.53
Rank#232  Overall
#112  Relational DBMS
Websitewww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.htmlspark.apache.org/­sqltrafodion.apache.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org
DeveloperOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software FoundationApache Software Foundation, originally developed by HP
Initial release198420142014
Current release7.4.1.1, 20213.1.1, March 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen 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 languageScalaC++, Java
Server operating systemsHP Open VMSLinux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes
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 SQLyesSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava Stored Procedures
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACID
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.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Oracle RdbSpark SQLTrafodion
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