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DBMS > Atos Standard Common Repository vs. GraphDB vs. Infobright vs. Microsoft Azure Data Explorer vs. Stardog

Vergleich der Systemeigenschaften Atos Standard Common Repository vs. GraphDB vs. Infobright vs. Microsoft Azure Data Explorer vs. Stardog

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAtos Standard Common Repository  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenInfobright  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenStardog  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 networksEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendFully managed big data interactive analytics platformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primäres DatenbankmodellDocument Store
Key-Value Store
Graph DBMS
RDF Store
Relational DBMSRelational DBMS infocolumn orientedGraph DBMS
RDF Store
Sekundäre DatenbankmodelleDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,32
Rang#91  Overall
#6  Graph DBMS
#4  RDF Stores
Punkte0,96
Rang#194  Overall
#91  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,02
Rang#123  Overall
#11  Graph DBMS
#6  RDF Stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ontotext.comignitetech.com/­softwarelibrary/­infobrightdbazure.microsoft.com/­services/­data-explorerwww.stardog.com
Technische Dokumentationgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.stardog.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerAtos Convergence CreatorsOntotextIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftStardog-Union
Erscheinungsjahr20162000200520192010
Aktuelle Version170310.4, Oktober 2023cloud service with continuous releases7.3.0, Mai 2020
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infoSome plugins of GraphDB Workbench are open sourcedkommerziell infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016kommerziellkommerziell info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJavaCJava
Server BetriebssystemeLinuxAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
Linux
Windows
gehostetLinux
macOS
Windows
DatenschemaSchema and schema-less with LDAP viewsschema-free and OWL/RDFS-schema support; RDF shapesjaFixed schema with schema-less datatypes (dynamic)schema-free and OWL/RDFS-schema support
Typisierung infovordefinierte Datentypen, z.B. float oder dateoptionaljajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinjanein infoImportieren/Exportieren von XML Daten möglich
Sekundärindizesjayes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnein infoKnowledge Grid Technology used insteadall fields are automatically indexedja infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLneinstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCjaKusto Query Language (KQL), SQL subsetYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs und andere ZugriffskonzepteLDAPGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Unterstützte ProgrammiersprachenAll languages with LDAP bindings.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-seitige Scripts infoStored Proceduresneinwell-defined plugin interfaces; JavaScript server-side extensibilityneinYes, possible languages: KQL, Python, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infovia event handlers
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infocell divisionkeinekeineSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaMulti-Source ReplikationSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation in HA-Cluster
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-Cluster
Fremdschlüssel inforeferenzielle Integritätneinja infoConstraint checkingneinneinja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of specific operationsACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrolleLDAP bind authenticationDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
Atos Standard Common RepositoryGraphDB infoUrsprünglicher Name: OWLIMInfobrightMicrosoft Azure Data ExplorerStardog
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» mehr
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» mehr
Neuigkeiten

Understanding the Graph Center of Excellence
17. Mai 2024

Migrating From LPG to RDF Graph Model
8. Mai 2024

Case study: Policy Enforcement Automation With Semantics
2. Mai 2024

Okay, RAG… We Have a Problem
26. April 2024

Scaling Understanding with the Help of Feedback Loops, Knowledge Graphs and NLP
19. April 2024

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Weitere Ressourcen
Atos Standard Common RepositoryGraphDB infoUrsprünglicher Name: OWLIMInfobrightMicrosoft Azure Data ExplorerStardog
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