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DBMS > Atos Standard Common Repository vs. GridGain vs. TigerGraph vs. TinkerGraph vs. Vertica

Vergleich der Systemeigenschaften Atos Standard Common Repository vs. GridGain vs. TigerGraph vs. TinkerGraph vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAtos Standard Common Repository  Xaus Vergleich ausschliessenGridGain  Xaus Vergleich ausschliessenTigerGraph  Xaus Vergleich ausschliessenTinkerGraph  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
This system has been discontinued and will be removed from the DB-Engines ranking.
KurzbeschreibungHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGridGain is an in-memory computing platform, built on Apache IgniteA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APICloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellDocument Store
Key-Value Store
Key-Value Store
Relational DBMS
Graph DBMSGraph DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,47
Rang#154  Overall
#26  Key-Value Stores
#72  Relational DBMS
Punkte1,83
Rang#139  Overall
#13  Graph DBMS
Punkte0,08
Rang#348  Overall
#35  Graph DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gridgain.comwww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.vertica.com
Technische Dokumentationwww.gridgain.com/­docs/­index.htmldocs.tigergraph.comvertica.com/­documentation
EntwicklerAtos Convergence CreatorsGridGain Systems, Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20162007201720092005
Aktuelle Version1703GridGain 8.5.112.0.3, Jänner 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoApache 2.0kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJava, C++, .NetC++JavaC++
Server BetriebssystemeLinuxLinux
OS X
Solaris
Windows
LinuxLinux
DatenschemaSchema and schema-less with LDAP viewsjajaschemafreiYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateoptionaljajajayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajaneinneinnein
SekundärindizesjajaneinNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinANSI-99 for query and DML statements, subset of DDLSQL-like query language (GSQL)neinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteLDAPHDFS API
Hibernate
JCache
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenAll languages with LDAP bindingsC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Groovy
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresneinyes (compute grid and cache interceptors can be used instead)janeinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersjayes (cache interceptors and events)neinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infocell divisionShardingkeinehorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjayes (replicated cache)keineMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenyes (compute grid and hadoop accelerator)janeinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencykeineImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infoRelationships in graphsja infoRelationships in graphsja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of specific operationsACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaneinja
Durability infoDauerhafte Speicherung der Datenjajajaoptionalja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinjanein
Berechtigungskonzept infoZugriffskontrolleLDAP bind authenticationSecurity Hooks for custom implementationsRole-based access controlneinfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Atos Standard Common RepositoryGridGainTigerGraphTinkerGraphVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Weitere Ressourcen
Atos Standard Common RepositoryGridGainTigerGraphTinkerGraphVertica infoOpenText™ Vertica™
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