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DBMS > EsgynDB vs. NuoDB vs. openGauss vs. PostgreSQL vs. Trafodion

System Properties Comparison EsgynDB vs. NuoDB vs. openGauss vs. PostgreSQL vs. Trafodion

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonNuoDB  Xexclude from comparisonopenGauss  Xexclude from comparisonPostgreSQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitewww.esgyn.cnwww.3ds.com/­nuodb-distributed-sql-databasegitee.com/­opengauss
opengauss.org
www.postgresql.orgtrafodion.apache.org
Technical documentationdoc.nuodb.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.postgresql.org/­docstrafodion.apache.org/­documentation.html
DeveloperEsgynDassault Systèmes infooriginally NuoDB, Inc.Huawei and openGauss communityPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software Foundation, originally developed by HP
Initial release2015201320191989 info1989: Postgres, 1996: PostgreSQL2014
Current release3.0, March 202216.3, May 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen SourceOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageC++, JavaC++C, C++, JavaCC++, Java
Server operating systemsLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
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.nononoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesANSI SQL 2011yes infostandard with numerous extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored ProceduresJava, SQLyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Procedures
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by range, list and hash)partitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoManaged transparently by NuoDBSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infotunable commit protocolACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
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.noyes infoTemporary tablenonono
User concepts infoAccess controlfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EsgynDBNuoDBopenGaussPostgreSQLTrafodion
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