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DBMS > Atos Standard Common Repository vs. Blazegraph vs. DataFS vs. GridGain

System Properties Comparison Atos Standard Common Repository vs. Blazegraph vs. DataFS vs. GridGain

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonDataFS  Xexclude from comparisonGridGain  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 networksHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Object oriented DBMSKey-value store
Relational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comnewdatabase.comwww.gridgain.com
Technical documentationwiki.blazegraph.comdev.mobiland.com/­Overview.xspwww.gridgain.com/­docs/­index.html
DeveloperAtos Convergence CreatorsBlazegraphMobiland AGGridGain Systems, Inc.
Initial release2016200620182007
Current release17032.1.5, March 20191.1.263, October 2022GridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, C++, .Net
Server operating systemsLinuxLinux
OS X
Windows
WindowsLinux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
Typing infopredefined data types such as float or dateoptionalyes 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.yesnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsLDAPJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
.NET Client API
Proprietary client DLL
WinRT client
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C
C#
C++
VB.Net
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)
Triggersyesnono, except callback-events from server when changes happenedyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingProprietary Sharding systemSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlLDAP bind authenticationSecurity and Authentication via Web Application Container (Tomcat, Jetty)Windows-ProfileSecurity Hooks for custom implementations

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More resources
Atos Standard Common RepositoryBlazegraphDataFSGridGain
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