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DBMS > Atos Standard Common Repository vs. MaxDB vs. Microsoft Access vs. Sequoiadb vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. MaxDB vs. Microsoft Access vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA robust and reliable RDBMS optimized to run all major SAP solutionsMicrosoft 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.)NewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorymaxdb.sap.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.sequoiadb.comspark.apache.org/­sql
Technical documentationmaxdb.sap.com/­documentationdeveloper.microsoft.com/­en-us/­accesswww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsSAP, acquired from Software AG (Adabas-D) in 1997MicrosoftSequoiadb Ltd.Apache Software Foundation
Initial release20161984199220132014
Current release17037.9.10.12, February 20241902 (16.0.11328.20222), March 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial infoBundled with Microsoft OfficeOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
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 languageJavaC++C++C++Scala
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyes infooid, date, timestamp, binary, regexyes
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.yesnonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
WebDAV
ADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C#
Java
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineJavaScriptno
Triggersyesyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID infobut no files for transaction loggingDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonono
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003simple password-based access controlno

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More resources
Atos Standard Common RepositoryMaxDB infoformerly named Adabas-DMicrosoft AccessSequoiadbSpark SQL
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