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DBMS > Atos Standard Common Repository vs. Fauna vs. JanusGraph vs. Microsoft Access

System Properties Comparison Atos Standard Common Repository vs. Fauna vs. JanusGraph vs. Microsoft Access

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  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 networksFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsoft 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
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.57
Rank#136  Overall
#22  Document stores
#12  Graph DBMS
#67  Relational DBMS
#9  Time Series DBMS
Score2.52
Rank#110  Overall
#7  Graph DBMS
Score116.38
Rank#11  Overall
#7  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfauna.comjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.fauna.comdocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­access
DeveloperAtos Convergence CreatorsFauna, Inc.Linux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release2016201420171992
Current release17030.6.0, September 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaJavaC++
Server operating systemsLinuxhostedLinux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnononoyes infobut not compliant to any SQL standard
APIs and other access methodsLDAPRESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAll languages with LDAP bindingsC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Clojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functionsyesyes infosince Access 2010 using the ACE-engine
Triggersyesnoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning infoconsistent hashingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes 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.yesno
User concepts infoAccess controlLDAP bind authenticationIdentity management, authentication, and access controlUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003

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More resources
Atos Standard Common RepositoryFauna infopreviously named FaunaDBJanusGraph infosuccessor of TitanMicrosoft Access
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