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DBMS > Atos Standard Common Repository vs. HugeGraph vs. JanusGraph vs. Teradata vs. TigerGraph

System Properties Comparison Atos Standard Common Repository vs. HugeGraph vs. JanusGraph vs. Teradata vs. TigerGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHugeGraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTeradata  Xexclude from comparisonTigerGraph  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 networksA fast-speed and highly-scalable Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A hybrid cloud data analytics software platform (Teradata Vantage)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Key-value store
Graph DBMSGraph DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­hugegraph
hugegraph.apache.org
janusgraph.orgwww.teradata.comwww.tigergraph.com
Technical documentationhugegraph.apache.org/­docsdocs.janusgraph.orgdocs.teradata.comdocs.tigergraph.com
DeveloperAtos Convergence CreatorsBaiduLinux Foundation; originally developed as Titan by AureliusTeradata
Initial release20162018201719842017
Current release17030.90.6.3, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC++
Server operating systemsLinuxLinux
macOS
Unix
Linux
OS X
Unix
Windows
hosted
Linux
Linux
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.yesnonoyesno
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensionsSQL-like query language (GSQL)
APIs and other access methodsLDAPJava API
RESTful HTTP API
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGroovy
Java
Python
Clojure
Java
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsyesyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyes infoRelationships in graphsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlLDAP bind authenticationUsers, roles and permissionsUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardRole-based access control

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More resources
Atos Standard Common RepositoryHugeGraphJanusGraph infosuccessor of TitanTeradataTigerGraph
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