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DBMS > Graph Engine vs. GraphDB vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics

Vergleich der Systemeigenschaften Graph Engine vs. GraphDB vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessen
KurzbeschreibungA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEnterprise-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.Fully managed big data interactive analytics platformElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primäres DatenbankmodellGraph DBMS
Key-Value Store
Graph DBMS
RDF Store
Relational DBMS infocolumn orientedRelational DBMS
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
Punkte0,62
Rang#240  Overall
#21  Graph DBMS
#35  Key-Value Stores
Punkte3,10
Rang#100  Overall
#7  Graph DBMS
#4  RDF Stores
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte22,71
Rang#30  Overall
#18  Relational DBMS
Websitewww.graphengine.iowww.ontotext.comazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­services/­synapse-analytics
Technische Dokumentationwww.graphengine.io/­docs/­manualgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­azure/­synapse-analytics
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerMicrosoftOntotextMicrosoftMicrosoft
Erscheinungsjahr2010200020192016
Aktuelle Version10.4, Oktober 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoMIT Licensekommerziell infoSome plugins of GraphDB Workbench are open sourcedkommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementierungssprache.NET and CJavaC++
Server Betriebssysteme.NETAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
gehostetgehostet
Datenschemajaschema-free and OWL/RDFS-schema support; RDF shapesFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja 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, XSLTneinneinjanein
Sekundärindizesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesall fields are automatically indexedja
SQL infoSupport of SQLneinstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteRESTful HTTP APIGeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Unterstützte ProgrammiersprachenC#
C++
F#
Visual Basic
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
PHP
Server-seitige Scripts infoStored Proceduresjawell-defined plugin interfaces; JavaScript server-side extensibilityYes, possible languages: KQL, Python, RTransact SQL
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale PartitionierungkeineSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoConstraint checkingneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjanein
Berechtigungskonzept infoZugriffskontrolleDefault 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.Azure Active Directory Authenticationja
Weitere Informationen bereitgestellt vom Systemhersteller
Graph Engine infoformer name: TrinityGraphDB infoUrsprünglicher Name: OWLIMMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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

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3. April 2024

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29. März 2024

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27. März 2024

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Weitere Ressourcen
Graph Engine infoformer name: TrinityGraphDB infoUrsprünglicher Name: OWLIMMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Erwähnungen in aktuellen Nachrichten

Trinity
2. Juni 2023, microsoft.com

Open source Microsoft Graph Engine takes on Neo4j
13. Februar 2017, InfoWorld

IBM releases Graph, a service that can outperform SQL databases
27. Juli 2016, GeekWire

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Aerospike Is Now a Graph Database, Too
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24. Oktober 2023, Datanami

Ontotext GraphDB is available on Azure, delivers rich knowledge graph experience
23. Januar 2024, KMWorld Magazine

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
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9. Februar 2024, InfoWorld

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23. November 2023, InfoQ.com

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11. Februar 2019, Microsoft

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services
18. Oktober 2023, AWS Blog

Azure Synapse vs. Databricks: Data Platform Comparison 2024
26. März 2024, eWeek

Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform
24. September 2023, DataScientest

Azure Synapse Link for Cosmos DB: New Analytics Capabilities
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