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DBMS > Atos Standard Common Repository vs. GBase vs. Microsoft Access vs. Splice Machine vs. Yanza

System Properties Comparison Atos Standard Common Repository vs. GBase vs. Microsoft Access vs. Splice Machine vs. Yanza

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSplice Machine  Xexclude from comparisonYanza  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS for IoT Applications
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gbase.cnwww.microsoft.com/­en-us/­microsoft-365/­accesssplicemachine.comyanza.com
Technical documentationdeveloper.microsoft.com/­en-us/­accesssplicemachine.com/­how-it-works
DeveloperAtos Convergence CreatorsGeneral Data Technology Co., Ltd.MicrosoftSplice MachineYanza
Initial release20162004199220142015
Current release1703GBase 8a, GBase 8s, GBase 8c1902 (16.0.11328.20222), March 20193.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL 3.0, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, PythonC++Java
Server operating systemsLinuxLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Solaris
Windows
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesno
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.yesyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoStandard with numerous extensionsyes infobut not compliant to any SQL standardyesno
APIs and other access methodsLDAPADO.NET
C API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languagesAll languages with LDAP bindingsC#C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functionsyes infosince Access 2010 using the ACE-engineyes infoJavano
Triggersyesyesyes infosince Access 2010 using the ACE-engineyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning (by range, list and hash) and vertical partitioningnoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlLDAP bind authenticationyesno infoa simple user-level security was built in till version Access 2003Access rights for users, groups and roles according to SQL-standardno

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More resources
Atos Standard Common RepositoryGBaseMicrosoft AccessSplice MachineYanza
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