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DBMS > Atos Standard Common Repository vs. EJDB vs. JanusGraph vs. LeanXcale vs. TimesTen

System Properties Comparison Atos Standard Common Repository vs. EJDB vs. JanusGraph vs. LeanXcale vs. TimesTen

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonEJDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLeanXcale  Xexclude from comparisonTimesTen  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 networksEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Key-value store
Document storeGraph DBMSKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­Softmotions/­ejdbjanusgraph.orgwww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.janusgraph.orgdocs.oracle.com/­database/­timesten-18.1
DeveloperAtos Convergence CreatorsSoftmotionsLinux Foundation; originally developed as Titan by AureliusLeanXcaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20162012201720151998
Current release17030.6.3, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsLinuxserver-lessLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyesyesyes
Typing infopredefined data types such as float or dateoptionalyes infostring, integer, double, bool, date, object_idyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnononoyes infothrough Apache Derbyyes
APIs and other access methodsLDAPin-process shared libraryJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAll languages with LDAP bindingsActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Clojure
Java
Python
C
Java
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyesPL/SQL
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoby means of logfiles and checkpoints
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 authenticationnoUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryEJDBJanusGraph infosuccessor of TitanLeanXcaleTimesTen
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