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DBMS > Datastax Enterprise vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer vs. Virtuoso

Vergleich der Systemeigenschaften Datastax Enterprise vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer vs. Virtuoso

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NameDatastax Enterprise  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenVirtuoso  Xaus Vergleich ausschliessen
KurzbeschreibungDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Globally distributed, horizontally scalable, multi-model database serviceFully managed big data interactive analytics platformVirtuoso ist ein RDBMS das auch Graphen und RDF-Strukturen unterstützt
Primäres DatenbankmodellWide Column StoreDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Relational DBMS infocolumn orientedDocument Store
Graph DBMS
Native XML DBMS
Relational DBMS
RDF Store
Suchmaschine
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Spatial DBMSDocument 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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,93
Rang#56  Overall
#4  Wide Column Stores
Punkte27,71
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte4,27
Rang#73  Overall
#13  Document Stores
#4  Graph DBMS
#2  Native XML DBMS
#39  Relational DBMS
#2  RDF Stores
#9  Suchmaschinen
Websitewww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­services/­data-explorervirtuoso.openlinksw.com
Technische Dokumentationdocs.datastax.comlearn.microsoft.com/­azure/­cosmos-dbdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.openlinksw.com/­virtuoso
EntwicklerDataStaxMicrosoftMicrosoftOpenLink Software
Erscheinungsjahr2011201420191998
Aktuelle Version6.8, April 2020cloud service with continuous releases7.2.11, September 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoGPLv2, erweiterte kommerzielle Lizenz verfügbar
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
ImplementierungsspracheJavaC
Server BetriebssystemeLinux
OS X
gehostetgehostetAIX
FreeBSD
HP-UX
Linux
OS X
Solaris
Windows
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)ja infoSQL - Standard relational schema
RDF - Quad (S, P, O, G) or Triple (S, P, O)
XML - DTD, XML Schema
DAV - freeform filesystem objects, plus User Defined Types a/k/a Dynamic Extension Type
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infoJSON typesja 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, XSLTneinjaja
Sekundärindizesjaja infoAll properties auto-indexed by defaultall fields are automatically indexedja
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languageKusto Query Language (KQL), SQL subsetja infoSQL-92, SQL-200x, SQL-3, SQLX
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
GeoSPARQL
HTTP API
JDBC
Jena RDF API
ODBC
OLE DB
RDF4J API
RESTful HTTP API
Sesame REST HTTP Protocol
SOAP webservices
SPARQL 1.1
WebDAV
XPath
XQuery
XSLT
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C#
C++
Java
JavaScript
Perl
PHP
Python
Ruby
Visual Basic
Server-seitige Scripts infoStored ProceduresneinJavaScriptYes, possible languages: KQL, Python, Rja infoVirtuoso PL
TriggersjaJavaScriptja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infono "single point of failure"Sharding infoImplizit im Cloud ServiceSharding infoImplicit feature of the cloud serviceja
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingja infoImplizit im Cloud Serviceja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Chain, star, and bi-directional replication
Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenjawith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*Spark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein infoAtomicity and isolation are supported for single operationsMulti-item ACID transactions with snapshot isolation within a partitionneinACID
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 infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarZugriffsrechte bis auf item level einstellbarAzure Active Directory AuthenticationFine-grained Attribute-Based Access Control (ABAC) in addition to typical coarse-grained Role-Based Access Control (RBAC) according to SQL-standard. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data ExplorerVirtuoso
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Virtuoso is a modern multi-model RDBMS for managing data represented as tabular relations...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Performance & Scale — as exemplified by DBpedia and the LOD Cloud it spawned, i.e.,...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Used for — Analytics/BI Conceptual Data Virtualization Enterprise Knowledge Graphs...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Broad use across enterprises and governments including — European Union (EU) US Government...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Largest installed-base ​of Multi-Model RDBMS for AI-friendly Knowledge Graphs Platform...
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Licensing and pricing modelsAnnual subscription
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Available in both Commercial Enterprise and Open Source (GPL v2) Editions Feature...
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Weitere Ressourcen
Datastax EnterpriseMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data ExplorerVirtuoso
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