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DBMS > Microsoft Azure Table Storage vs. MonetDB vs. openGauss vs. Trafodion vs. Transbase

System Properties Comparison Microsoft Azure Table Storage vs. MonetDB vs. openGauss vs. Trafodion vs. Transbase

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  Xexclude from comparisonopenGauss  Xexclude from comparisonTrafodion  Xexclude from comparisonTransbase  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA relational database management system that stores data in columnsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTransactional SQL-on-Hadoop DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.orggitee.com/­opengauss
opengauss.org
trafodion.apache.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.monetdb.org/­Documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
trafodion.apache.org/­documentation.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperMicrosoftMonetDB BVHuawei and openGauss communityApache Software Foundation, originally developed by HPTransaction Software GmbH
Initial release20122004201920141987
Current releaseDec2023 (11.49), December 20233.0, March 20222.3.0, February 2019Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open SourceOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++, JavaC++, JavaC and C++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
LinuxLinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyesyesyes
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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsANSI SQL 2011yesyes
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Java
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoyes, in SQL, C, RyesJava Stored Proceduresyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding via remote tableshorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental statusSource-replica replicationyes, via HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDACIDyes
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.nononono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardAccess 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
Microsoft Azure Table StorageMonetDBopenGaussTrafodionTransbase
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