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DBMS > Atos Standard Common Repository vs. Datastax Enterprise vs. Microsoft Azure Data Explorer vs. NSDb vs. SWC-DB

Vergleich der Systemeigenschaften Atos Standard Common Repository vs. Datastax Enterprise vs. Microsoft Azure Data Explorer vs. NSDb vs. SWC-DB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAtos Standard Common Repository  Xaus Vergleich ausschliessenDatastax Enterprise  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNSDb  Xaus Vergleich ausschliessenSWC-DB infoSuper Wide Column Database  Xaus Vergleich ausschliessen
This system has been discontinued and will be removed from the DB-Engines ranking.
KurzbeschreibungHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDataStax 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.Fully managed big data interactive analytics platformScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high performance, scalable Wide Column DBMS
Primäres DatenbankmodellDocument Store
Key-Value Store
Wide Column StoreRelational DBMS infocolumn orientedTime Series DBMSWide Column Store
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
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,80
Rang#60  Overall
#4  Wide Column Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#41  Time Series DBMS
Punkte0,01
Rang#376  Overall
#13  Wide Column Stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­services/­data-explorernsdb.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technische Dokumentationdocs.datastax.comdocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architecture
EntwicklerAtos Convergence CreatorsDataStaxMicrosoftAlex Kashirin
Erscheinungsjahr20162011201920172020
Aktuelle Version17036.8, April 2020cloud service with continuous releases0.5, April 2021
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoApache Version 2.0Open Source infoGPL V3
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.
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.
ImplementierungsspracheJavaJavaJava, ScalaC++
Server BetriebssystemeLinuxLinux
OS X
gehostetLinux
macOS
Linux
DatenschemaSchema and schema-less with LDAP viewsschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder dateoptionaljaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes: int, bigint, decimal, string
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinjaneinnein
Sekundärindizesjajaall fields are automatically indexedall fields are automatically indexed
SQL infoSupport of SQLneinSQL-like DML and DDL statements (CQL); Spark SQLKusto Query Language (KQL), SQL subsetSQL-like query languageSQL-like query language
APIs und andere ZugriffskonzepteLDAPPropriätäres Protokoll infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Proprietäres Protokoll
Thrift
Unterstützte ProgrammiersprachenAll languages with LDAP bindingsC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Scala
C++
Server-seitige Scripts infoStored ProceduresneinneinYes, possible languages: KQL, Python, Rneinnein
Triggersjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infocell divisionSharding infono "single point of failure"Sharding infoImplicit feature of the cloud serviceShardingSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaconfigurable replication factor, datacenter aware, advanced replication for edge computingja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of specific operationsnein infoAtomicity and isolation are supported for single operationsneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der DatenjajajaUsing Apache Luceneja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleLDAP bind authenticationZugriffsrechte für Benutzer auf einzelne Objekte definierbarAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
Atos Standard Common RepositoryDatastax EnterpriseMicrosoft Azure Data ExplorerNSDbSWC-DB infoSuper Wide Column Database
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» mehr
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» mehr
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» mehr
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» mehr
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» mehr
Licensing and pricing modelsAnnual subscription
» mehr

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Weitere Ressourcen
Atos Standard Common RepositoryDatastax EnterpriseMicrosoft Azure Data ExplorerNSDbSWC-DB infoSuper Wide Column Database
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