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DBMS > OpenEdge vs. openGauss vs. Spark SQL vs. Trafodion vs. WakandaDB

System Properties Comparison OpenEdge vs. openGauss vs. Spark SQL vs. Trafodion vs. WakandaDB

Editorial information provided by DB-Engines
NameOpenEdge  Xexclude from comparisonopenGauss  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparisonWakandaDB  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 systemAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.progress.com/­openedgegitee.com/­opengauss
opengauss.org
spark.apache.org/­sqltrafodion.apache.orgwakanda.github.io
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
spark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.htmlwakanda.github.io/­doc
DeveloperProgress Software CorporationHuawei and openGauss communityApache Software FoundationApache Software Foundation, originally developed by HPWakanda SAS
Initial release19842019201420142012
Current releaseOpenEdge 12.2, March 20203.0, March 20223.5.0 ( 2.13), September 20232.3.0, February 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaScalaC++, JavaC++, JavaScript
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92ANSI SQL 2011SQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesProgress proprietary ABL (Advanced Business Language)C
C++
Java
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.NetJavaScript
Server-side scripts infoStored proceduresyesyesnoJava Stored Proceduresyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4horizontal partitioning (by range, list and hash)yes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyes, via HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononono
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standardyes

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More resources
OpenEdgeopenGaussSpark SQLTrafodionWakandaDB
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