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DBMS > Atos Standard Common Repository vs. BigObject vs. H2 vs. Microsoft Access vs. RDF4J

System Properties Comparison Atos Standard Common Repository vs. BigObject vs. H2 vs. Microsoft Access vs. RDF4J

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRDF4J infoformerly known as Sesame  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 networksAnalytic DBMS for real-time computations and queriesFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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.)RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iowww.h2database.comwww.microsoft.com/­en-us/­microsoft-365/­accessrdf4j.org
Technical documentationdocs.bigobject.iowww.h2database.com/­html/­main.htmldeveloper.microsoft.com/­en-us/­accessrdf4j.org/­documentation
DeveloperAtos Convergence CreatorsBigObject, Inc.Thomas MuellerMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162015200519922004
Current release17032.2.220, July 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoBundled with Microsoft OfficeOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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.yesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes infobut not compliant to any SQL standardno
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages with LDAP bindingsJavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
PHP
Python
Server-side scripts infoStored proceduresnoLuaJava Stored Procedures and User-Defined Functionsyes infosince Access 2010 using the ACE-engineyes
Triggersyesnoyesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID infobut no files for transaction loggingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003no

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More resources
Atos Standard Common RepositoryBigObjectH2Microsoft AccessRDF4J infoformerly known as Sesame
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