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DBMS > Datastax Enterprise vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. Oracle

Vergleich der Systemeigenschaften Datastax Enterprise vs. Google Cloud Bigtable vs. Microsoft Azure Data Explorer vs. Oracle

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatastax Enterprise  Xaus Vergleich ausschliessenGoogle Cloud Bigtable  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Fully managed big data interactive analytics platformWeit verbreitetes, allgemein einsetzbares RDBMS
Primäres DatenbankmodellWide Column StoreKey-Value Store
Wide Column Store
Relational DBMS infocolumn orientedRelational DBMS
Sekundäre DatenbankmodelleDocument Store
Graph DBMS
Spatial DBMS
Suchmaschine
Vektor DBMS
Document 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
Document Store
Graph DBMS infowith Oracle Spatial and Graph
RDF Store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vektor DBMS infosince Oracle 23
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,80
Rang#60  Overall
#4  Wide Column Stores
Punkte3,26
Rang#92  Overall
#13  Key-Value Stores
#8  Wide Column Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1236,29
Rang#1  Overall
#1  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisecloud.google.com/­bigtableazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database
Technische Dokumentationdocs.datastax.comcloud.google.com/­bigtable/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­database
EntwicklerDataStaxGoogleMicrosoftOracle
Erscheinungsjahr2011201520191980
Aktuelle Version6.8, April 2020cloud service with continuous releases23c, September 2023
Lizenz infoCommercial or Open Sourcekommerziellkommerziellkommerziellkommerziell infoeingeschränkte kostenlose Version 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 und C++
Server BetriebssystemeLinux
OS X
gehostetgehostetAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)ja infoSchemaless in JSON and XML columns
Typisierung infovordefinierte Datentypen, z.B. float oder datejaneinja 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, XSLTneinneinjaja
Sekundärindizesjaneinall fields are automatically indexedja
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLneinKusto Query Language (KQL), SQL subsetja infomit proprietären Erweiterungen
APIs und andere ZugriffskonzeptePropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Unterstützte ProgrammiersprachenC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-seitige Scripts infoStored ProceduresneinneinYes, possible languages: KQL, Python, RPL/SQL infoauch Java stored procedures möglich
Triggersjaneinja 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"ShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenconfigurable replication factor, datacenter aware, advanced replication for edge computingInternal replication in Colossus, and regional replication between two clusters in different zonesja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenjajaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infokann in PL/SQL realisiert werden
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)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 operationsAtomic single-row operationsneinACID infomit parameterisierbarem isolation level
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 haltenjaneinneinja infoVersion 12c introduced the new option 'Oracle Database In-Memory'
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer auf einzelne Objekte definierbarAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
Datastax EnterpriseGoogle Cloud BigtableMicrosoft Azure Data ExplorerOracle
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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Licensing and pricing modelsAnnual subscription
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