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DBMS > OpenEdge vs. Spark SQL vs. Tkrzw vs. Trafodion

System Properties Comparison OpenEdge vs. Spark SQL vs. Tkrzw vs. Trafodion

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Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processingA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#88  Overall
#47  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitewww.progress.com/­openedgespark.apache.org/­sqldbmx.net/­tkrzwtrafodion.apache.org
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperProgress Software CorporationApache Software FoundationMikio HirabayashiApache Software Foundation, originally developed by HP
Initial release1984201420202014
Current releaseOpenEdge 12.2, March 20203.5.0 ( 2.13), September 20230.9.3, August 20202.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open 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 languageScalaC++C++, Java
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Linux
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesProgress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
C++
Java
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnonoJava Stored Procedures
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4yes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infousing specific database classesno
User concepts infoAccess controlUsers and groupsnonofine grained access rights according to SQL-standard

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More resources
OpenEdgeSpark SQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTrafodion
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