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DBMS > ArangoDB vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. Stardog

Vergleich der Systemeigenschaften ArangoDB vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. Stardog

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NameArangoDB  Xaus Vergleich ausschliessenInterSystems IRIS  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessen
KurzbeschreibungNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully managed big data interactive analytics platformEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primäres DatenbankmodellDocument Store
Graph DBMS
Key-Value Store
Suchmaschine
Document Store
Key-Value Store
Object oriented DBMS
Relational DBMS
Relational 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#90  Overall
#15  Document Stores
#5  Graph DBMS
#12  Key-Value Stores
#10  Suchmaschinen
Punkte4,05
Rang#83  Overall
#14  Document Stores
#10  Key-Value Stores
#1  Object oriented DBMS
#45  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,02
Rang#123  Overall
#11  Graph DBMS
#6  RDF Stores
Websitearangodb.comwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorerwww.stardog.com
Technische Dokumentationdocs.arangodb.comdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.stardog.com
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
EntwicklerArangoDB Inc.InterSystemsMicrosoftStardog-Union
Erscheinungsjahr2012201820192010
Aktuelle Version3.11.5, November 20232023.3, Juni 2023cloud service with continuous releases7.3.0, Mai 2020
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablekommerziellkommerziellkommerziell 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 verfügbarneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
ImplementierungsspracheC++Java
Server BetriebssystemeLinux
OS X
Windows
AIX
Linux
macOS
Ubuntu
Windows
gehostetLinux
macOS
Windows
Datenschemaschemafrei infoInnerhalb einer Collection wird das Schema automatisch erkanntdepending on used data modelFixed schema with schema-less datatypes (dynamic)schema-free and OWL/RDFS-schema support
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, double, boolean, list, hashjaja 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, XSLTjajanein infoImportieren/Exportieren von XML Daten möglich
Sekundärindizesjajaall fields are automatically indexedja infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLneinjaKusto Query Language (KQL), SQL subsetYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs und andere ZugriffskonzepteAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
ODBC
RESTful HTTP API
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 ProgrammiersprachenC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-seitige Scripts infoStored ProceduresJavaScriptjaYes, possible languages: KQL, Python, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infovia event handlers
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoAb Version 2.0ShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-replica replication with configurable replication factorSource-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 Operationennein infoMöglich über stored procedures in JavaScriptneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoEinstellbar per collection oder per Write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-Cluster
Fremdschlüssel inforeferenzielle Integritätja inforelationships in graphsjaneinja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja
Berechtigungskonzept infoZugriffskontrollejayesAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
ArangoDBInterSystems IRISMicrosoft Azure Data ExplorerStardog
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
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InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
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Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
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Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
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Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» mehr
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
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Weitere Ressourcen
ArangoDBInterSystems IRISMicrosoft Azure Data ExplorerStardog
DB-Engines Blog Posts

The Weight of Relational Databases: Time for Multi-Model?
29. August 2017, Luca Olivari (guest author)

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