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DBMS > Atos Standard Common Repository vs. GeoSpock vs. HyperSQL vs. JanusGraph vs. Postgres-XL

System Properties Comparison Atos Standard Common Repository vs. GeoSpock vs. HyperSQL vs. JanusGraph vs. Postgres-XL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGeoSpock  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPostgres-XL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpatial and temporal data processing engine for extreme data scaleMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygeospock.comhsqldb.orgjanusgraph.orgwww.postgres-xl.org
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.janusgraph.orgwww.postgres-xl.org/­documentation
DeveloperAtos Convergence CreatorsGeoSpockLinux Foundation; originally developed as Titan by Aurelius
Initial release2016200120172014 infosince 2012, originally named StormDB
Current release17032.0, September 20192.7.2, June 20230.6.3, February 202310 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infobased on BSD licenseOpen Source infoApache 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJavaJavaC
Server operating systemsLinuxhostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Unix
Windows
Linux
macOS
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.yesnononoyes infoXML type, but no XML query functionality
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesnoyes infodistributed, parallel query execution
APIs and other access methodsLDAPJDBCHTTP API infoJDBC via HTTP
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages with LDAP bindingsAll languages supporting JDBC/ODBC
Java
Clojure
Java
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoJava, SQLyesuser defined functions
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionAutomatic shardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationAccess rights for users can be defined per tablefine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGeoSpockHyperSQL infoalso known as HSQLDBJanusGraph infosuccessor of TitanPostgres-XL
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