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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonDatomic  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Access  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 queriesDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFull-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.)
Primary database modelDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#333  Overall
#146  Relational DBMS
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score107.93
Rank#11  Overall
#8  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iowww.datomic.comwww.h2database.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.bigobject.iodocs.datomic.comwww.h2database.com/­html/­main.htmldeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsBigObject, Inc.CognitectThomas MuellerMicrosoft
Initial release20162015201220051992
Current release17031.0.6735, June 20232.2.220, July 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infolimited edition freeOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureJavaC++
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 VMAll OS with a Java VMWindows infoNot a real database server, but making use of DLLs
Data schemeSchema and schema-less with LDAP viewsyesyesyesyes
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.yesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesyes infobut not compliant to any SQL standard
APIs and other access methodsLDAPfluentd
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsClojure
Java
JavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoLuayes infoTransaction FunctionsJava Stored Procedures and User-Defined Functionsyes infosince Access 2010 using the ACE-engine
TriggersyesnoBy using transaction functionsyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonenone infoBut extensive use of caching in the application peersnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoBut extensive use of caching in the application peersWith clustering: 2 database servers on different computers operate on identical copies of a databasenone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlLDAP bind authenticationnonofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
Atos Standard Common RepositoryBigObjectDatomicH2Microsoft Access
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