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DBMS > Microsoft Azure AI Search vs. openGauss vs. OpenQM vs. Oracle Berkeley DB vs. Trafodion

System Properties Comparison Microsoft Azure AI Search vs. openGauss vs. OpenQM vs. Oracle Berkeley DB vs. Trafodion

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonopenGauss  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionSearch-as-a-service for web and mobile app developmentAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used in-process key-value storeTransactional SQL-on-Hadoop DBMS
Primary database modelSearch engineRelational DBMSMultivalue DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchgitee.com/­opengauss
opengauss.org
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmltrafodion.apache.org
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oracle.com/­cd/­E17076_05/­html/­index.htmltrafodion.apache.org/­documentation.html
DeveloperMicrosoftHuawei and openGauss communityRocket Software, originally Martin PhillipsOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software Foundation, originally developed by HP
Initial release20152019199319942014
Current releaseV13.0, March 20223.4-1218.1.40, May 20202.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infocommercial license availableOpen Source infoApache 2.0
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 languageC, C++, JavaC, Java, C++ (depending on the Berkeley DB edition)C++, Java
Server operating systemshostedLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesyesyes infowith some exceptionsschema-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.nonoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoANSI SQL 2011noyes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
.Net
Basic
C
Java
Objective C
PHP
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesyesnoJava Stored Procedures
Triggersnoyesyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)yesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationyesSource-replica replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesno
User concepts infoAccess controlyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standardAccess rights can be defined down to the item levelnofine grained access rights according to SQL-standard

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More resources
Microsoft Azure AI SearchopenGaussOpenQM infoalso called QMOracle Berkeley DBTrafodion
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