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DBMS > Ehcache vs. GraphDB vs. Microsoft Azure Data Explorer vs. Oracle Rdb vs. VictoriaMetrics

Vergleich der Systemeigenschaften Ehcache vs. GraphDB vs. Microsoft Azure Data Explorer vs. Oracle Rdb vs. VictoriaMetrics

Redaktionelle Informationen bereitgestellt von DB-Engines
NameEhcache  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle Rdb  Xaus Vergleich ausschliessenVictoriaMetrics  Xaus Vergleich ausschliessen
KurzbeschreibungA widely adopted Java cache with tiered storage optionsEnterprise-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 platformA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primäres DatenbankmodellKey-Value StoreGraph DBMS
RDF Store
Relational DBMS infocolumn orientedRelational DBMSTime Series 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
Punkte4,64
Rang#68  Overall
#8  Key-Value Stores
Punkte3,25
Rang#91  Overall
#7  Graph DBMS
#4  RDF Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,14
Rang#178  Overall
#80  Relational DBMS
Punkte1,23
Rang#172  Overall
#15  Time Series DBMS
Websitewww.ehcache.orgwww.ontotext.comazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database/­technologies/­related/­rdb.htmlvictoriametrics.com
Technische Dokumentationwww.ehcache.org/­documentationgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
Social network pagesLinkedInTwitterYouTubeGitHubMedium
EntwicklerTerracotta Inc, owned by Software AGOntotextMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)VictoriaMetrics
Erscheinungsjahr20092000201919842018
Aktuelle Version3.10.0, Maerz 202210.4, Oktober 2023cloud service with continuous releases7.4.1.1, 2021v1.91, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablekommerziell infoSome plugins of GraphDB Workbench are open sourcedkommerziellkommerziellOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaJavaGo
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMAlle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
gehostetHP Open VMSFreeBSD
Linux
macOS
OpenBSD
Datenschemaschemafreischema-free and OWL/RDFS-schema support; RDF shapesFixed schema with schema-less datatypes (dynamic)Flexible Schema (defined schema, partial schema, schema free)
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, XSLTneinneinjaneinnein
Sekundärindizesneinyes, 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 subsetjanein
APIs und andere ZugriffskonzepteJCacheGeoSPARQL
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
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Unterstützte ProgrammiersprachenJava.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored Proceduresneinwell-defined plugin interfaces; JavaScript server-side extensibilityYes, possible languages: KQL, Python, Rnein
Triggersja infoCache Event Listenersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoby using Terracotta ServerkeineSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoby using Terracotta ServerMulti-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Synchronous replication
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoConstraint checkingneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenja infosupports JTA and can work as an XA resourceACIDneinyes, on a single nodenein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenja infousing a tiered cache-storage approachjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleneinDefault 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 Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
EhcacheGraphDB infoUrsprünglicher Name: OWLIMMicrosoft Azure Data ExplorerOracle RdbVictoriaMetrics
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
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EhcacheGraphDB infoUrsprünglicher Name: OWLIMMicrosoft Azure Data ExplorerOracle RdbVictoriaMetrics
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