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DBMS > Atos Standard Common Repository vs. Grakn vs. Kinetica vs. Oracle vs. TigerGraph

System Properties Comparison Atos Standard Common Repository vs. Grakn vs. Kinetica vs. Oracle vs. TigerGraph

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGrakn  Xexclude from comparisonKinetica  Xexclude from comparisonOracle  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 networksGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.GPU-accelerated database for real-time analysis of large and streaming datasetsWidely used RDBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Key-value store
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#221  Overall
#17  Graph DBMS
#104  Relational DBMS
Score0.56
Rank#200  Overall
#97  Relational DBMS
Score1345.42
Rank#1  Overall
#1  Relational DBMS
Score0.88
Rank#158  Overall
#12  Graph DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygrakn.aiwww.kinetica.comwww.oracle.com/­databasewww.tigergraph.com
Technical documentationdev.grakn.ai/­docswww.kinetica.com/­docsdocs.oracle.com/­en/­databasedocs.tigergraph.com
DeveloperAtos Convergence CreatorsGrakn LabsKineticaOracle
Initial release20162016201219802017
Current release17031.6.2, January 20206.019c, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercialcommercial inforestricted free version is availablecommercial
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 languageJavaJavaC, C++C and C++C++
Server operating systemsLinuxLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Data schemeSchema and schema-less with LDAP viewsyesyesyes infoSchemaless in JSON and XML columnsyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infowith proprietary extensionsSQL-like query language (GSQL)
APIs and other access methodsLDAPconsole (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindingsAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C++
Java
Server-side scripts infoStored proceduresnonouser defined functionsPL/SQL infoalso stored procedures in Java possibleyes
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoby using CassandraShardinghorizontal partitioning infowith the optional Oracle Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication infoby using CassandraMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono infocan be realized in PL/SQLyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featureyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlLDAP bind authenticationyes infoat REST API level; other APIs in progressAccess rights for users and roles on table levelfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Atos Standard Common RepositoryGraknKineticaOracleTigerGraph
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Oracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersTigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Oracle Database Cloud Services Customers can choose from a wide range of database...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more
News

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25 February 2020

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7 June 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Atos Standard Common RepositoryGraknKineticaOracleTigerGraph
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