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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Redshift  Xaus Vergleich ausschliessenFauna infopreviously named FaunaDB  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 toolsFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Fully 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 DBMSDocument Store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS infocolumn orientedTime Series DBMSDocument 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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte19,03
Rang#34  Overall
#21  Relational DBMS
Punkte1,55
Rang#154  Overall
#26  Document Stores
#14  Graph DBMS
#72  Relational DBMS
#13  Time Series DBMS
Punkte5,16
Rang#69  Overall
#37  Relational DBMS
Punkte0,00
Rang#396  Overall
#42  Time Series DBMS
Punkte2,84
Rang#106  Overall
#19  Document Stores
Websiteaws.amazon.com/­redshiftfauna.comazure.microsoft.com/­services/­data-explorernsdb.iorethinkdb.com
Technische Dokumentationdocs.aws.amazon.com/­redshiftdocs.fauna.comdocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architecturerethinkdb.com/­docs
EntwicklerAmazon (based on PostgreSQL)Fauna, Inc.MicrosoftThe Linux Foundation infosince July 2017
Erscheinungsjahr20122014201920172009
Aktuelle Versioncloud service with continuous releases2.4.1, August 2020
Lizenz infoCommercial or Open SourcekommerziellkommerziellkommerziellOpen Source infoApache Version 2.0Open Source infoApache Version 2
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajajaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCScalaJava, ScalaC++
Server BetriebssystemegehostetgehostetgehostetLinux
macOS
Linux
OS X
Windows
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei
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-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-StandardsneinKusto Query Language (KQL), SQL subsetSQL-like query languagenein
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBCC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.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 Pythonbenutzerdefinierte FunktionenYes, possible languages: KQL, Python, Rnein
Triggersneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeeds
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardinghorizontale Partitionierung infoconsistent hashingSharding infoImplicit feature of the cloud serviceShardingSharding inforange based
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenjaMulti-Source 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 OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowerden aber nicht 'enforced'janeinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinneinAtomic 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 haltenjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardIdentity management, authentication, and access controlAzure Active Directory Authenticationja infousers and table-level permissions

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Weitere Ressourcen
Amazon RedshiftFauna infopreviously named FaunaDBMicrosoft Azure Data ExplorerNSDbRethinkDB
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