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DBMS > Amazon Redshift vs. GridDB vs. Microsoft Azure Data Explorer vs. NSDb vs. RethinkDB

Vergleich der Systemeigenschaften Amazon Redshift vs. GridDB vs. Microsoft Azure Data Explorer vs. NSDb vs. RethinkDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Redshift  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNSDb  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessen
KurzbeschreibungLarge scale data warehouse service for use with business intelligence toolsScalable in-memory time series database optimized for IoT and Big DataFully managed big data interactive analytics platformScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primäres DatenbankmodellRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedTime Series DBMSDocument Store
Sekundäre DatenbankmodelleKey-Value Store
Relational 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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte17,94
Rang#34  Overall
#21  Relational DBMS
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,00
Rang#383  Overall
#41  Time Series DBMS
Punkte2,74
Rang#105  Overall
#19  Document Stores
Websiteaws.amazon.com/­redshiftgriddb.netazure.microsoft.com/­services/­data-explorernsdb.iorethinkdb.com
Technische Dokumentationdocs.aws.amazon.com/­redshiftdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architecturerethinkdb.com/­docs
EntwicklerAmazon (based on PostgreSQL)Toshiba CorporationMicrosoftThe Linux Foundation infosince July 2017
Erscheinungsjahr20122013201920172009
Aktuelle Version5.1, August 2022cloud service with continuous releases2.4.1, August 2020
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellOpen Source infoApache Version 2.0Open Source infoApache Version 2
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCC++Java, ScalaC++
Server BetriebssystemegehostetLinuxgehostetLinux
macOS
Linux
OS X
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infonumerical, string, blob, geometry, boolean, timestampja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes: int, bigint, decimal, stringja infostring, binary, float, bool, date, geometry
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaneinnein
Sekundärindizeseingeschränktjaall fields are automatically indexedall fields are automatically indexedja
SQL infoSupport of SQLja infokeine vollständige Unterstützung eines SQL-StandardsSQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subsetSQL-like query languagenein
APIs und andere ZugriffskonzepteJDBC
ODBC
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBCC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infoin PythonneinYes, possible languages: KQL, Python, Rnein
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeeds
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceShardingSharding inforange based
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowerden aber nicht 'enforced'neinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID at container levelneinneinAtomic single-document operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja infoMVCC based
Durability infoDauerhafte Speicherung der DatenjajajaUsing Apache Luceneja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess rights for users can be defined per databaseAzure Active Directory Authenticationja infousers and table-level permissions
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon RedshiftGridDBMicrosoft Azure Data ExplorerNSDbRethinkDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» mehr
Market metricsGitHub trending repository
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Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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Weitere Ressourcen
Amazon RedshiftGridDBMicrosoft Azure Data ExplorerNSDbRethinkDB
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