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DBMS > Atos Standard Common Repository vs. GridGain vs. Stardog vs. TerminusDB vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. GridGain vs. Stardog vs. TerminusDB vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGridGain  Xexclude from comparisonStardog  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGridGain is an in-memory computing platform, built on Apache IgniteEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Graph DBMS
RDF store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gridgain.comwww.stardog.comterminusdb.comyaacomo.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.stardog.comterminusdb.github.io/­terminusdb/­#
DeveloperAtos Convergence CreatorsGridGain Systems, Inc.Stardog-UnionDataChemist Ltd.Q2WEB GmbH
Initial release20162007201020182009
Current release1703GridGain 8.5.17.3.0, May 202011.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaProlog, Rust
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
LinuxAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-free and OWL/RDFS-schema supportyesyes
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.yesyesno infoImport/export of XML data possiblenono
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language (WOQL)yes
APIs and other access methodsLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)user defined functions and aggregates, HTTP Server extensions in Javayes
Triggersyesyes (cache interceptors and events)yes infovia event handlersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnoneGraph Partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)Multi-source replication in HA-ClusterJournaling StreamsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsyesyes
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 persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlLDAP bind authenticationSecurity Hooks for custom implementationsAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGridGainStardogTerminusDB infoformer name was DataChemistYaacomo
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