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DBMS > Atos Standard Common Repository vs. BigchainDB vs. Blazegraph vs. JanusGraph vs. TigerGraph

System Properties Comparison Atos Standard Common Repository vs. BigchainDB vs. Blazegraph vs. JanusGraph vs. TigerGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTigerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Key-value store
Document storeGraph DBMS
RDF store
Graph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comblazegraph.comjanusgraph.orgwww.tigergraph.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwiki.blazegraph.comdocs.janusgraph.orgdocs.tigergraph.com
DeveloperAtos Convergence CreatorsBlazegraphLinux Foundation; originally developed as Titan by Aurelius
Initial release20162016200620172017
Current release17032.1.5, March 20190.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoextended commercial license availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaJavaC++
Server operating systemsLinuxLinuxLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalnoyes infoRDF literal typesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnonoSPARQL is used as query languagenoSQL-like query language (GSQL)
APIs and other access methodsLDAPCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Clojure
Java
Python
C++
Java
Server-side scripts infoStored proceduresnoyesyesyes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in Graphsyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes 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.yesno
User concepts infoAccess controlLDAP bind authenticationyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)User authentification and security via Rexster Graph ServerRole-based access control

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More resources
Atos Standard Common RepositoryBigchainDBBlazegraphJanusGraph infosuccessor of TitanTigerGraph
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