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DBMS > etcd vs. Graph Engine vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. Stardog

Vergleich der Systemeigenschaften etcd vs. Graph Engine vs. InterSystems IRIS vs. Microsoft Azure Data Explorer vs. Stardog

Redaktionelle Informationen bereitgestellt von DB-Engines
Nameetcd  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenInterSystems IRIS  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenStardog  Xaus Vergleich ausschliessen
KurzbeschreibungA distributed reliable key-value storeA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA 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 DatenbankmodellKey-Value StoreGraph DBMS
Key-Value Store
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
Punkte7,25
Rang#54  Overall
#5  Key-Value Stores
Punkte0,61
Rang#240  Overall
#21  Graph DBMS
#35  Key-Value Stores
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
Websiteetcd.io
github.com/­etcd-io/­etcd
www.graphengine.iowww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorerwww.stardog.com
Technische Dokumentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.graphengine.io/­docs/­manualdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.stardog.com
EntwicklerMicrosoftInterSystemsMicrosoftStardog-Union
Erscheinungsjahr2010201820192010
Aktuelle Version3.4, August 20192023.3, Juni 2023cloud service with continuous releases7.3.0, Mai 2020
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensekommerziellkommerziellkommerziell 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.
ImplementierungsspracheGo.NET and CJava
Server BetriebssystemeFreeBSD
Linux
Windows infoexperimental
.NETAIX
Linux
macOS
Ubuntu
Windows
gehostetLinux
macOS
Windows
Datenschemaschemafreijadepending on used data modelFixed schema with schema-less datatypes (dynamic)schema-free and OWL/RDFS-schema support
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjajaja 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, XSLTneinneinjajanein infoImportieren/Exportieren von XML Daten möglich
Sekundärindizesneinjaall fields are automatically indexedja infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLneinneinjaKusto Query Language (KQL), SQL subsetYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs und andere ZugriffskonzeptegRPC
JSON over HTTP
RESTful HTTP APIJDBC
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 Programmiersprachen.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
F#
Visual Basic
.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 ProceduresneinjajaYes, possible languages: KQL, Python, Ruser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, watching key changesneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infovia event handlers
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale PartitionierungShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-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 ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-Cluster
Fremdschlüssel inforeferenzielle Integritätneinneinjaneinja infoBeziehungen in Graphen
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaoptional: 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 haltenneinjajaneinja
Berechtigungskonzept infoZugriffskontrolleneinyesAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
etcdGraph Engine infoformer name: TrinityInterSystems IRISMicrosoft Azure Data ExplorerStardog
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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etcdGraph Engine infoformer name: TrinityInterSystems IRISMicrosoft Azure Data ExplorerStardog
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