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

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

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NameAmazon Redshift  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNSDb  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessenRRDtool  Xaus Vergleich ausschliessen
KurzbeschreibungLarge scale data warehouse service for use with business intelligence toolsFully 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.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primäres DatenbankmodellRelational DBMSRelational DBMS infocolumn orientedTime Series DBMSDocument StoreTime Series DBMS
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
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
Punkte2,14
Rang#124  Overall
#10  Time Series DBMS
Websiteaws.amazon.com/­redshiftazure.microsoft.com/­services/­data-explorernsdb.iorethinkdb.comoss.oetiker.ch/­rrdtool
Technische Dokumentationdocs.aws.amazon.com/­redshiftdocs.microsoft.com/­en-us/­azure/­data-explorernsdb.io/­Architecturerethinkdb.com/­docsoss.oetiker.ch/­rrdtool/­doc
EntwicklerAmazon (based on PostgreSQL)MicrosoftThe Linux Foundation infosince July 2017Tobias Oetiker
Erscheinungsjahr20122019201720091999
Aktuelle Versioncloud service with continuous releases2.4.1, August 20201.8.0, 2022
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL V2 and FLOSS
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjajaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCJava, ScalaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server BetriebssystemegehostetgehostetLinux
macOS
Linux
OS X
Windows
HP-UX
Linux
DatenschemajaFixed schema with schema-less datatypes (dynamic)schemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja 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, geometryNumeric data only
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinneinnein infoExporting into and restoring from XML files possible
Sekundärindizeseingeschränktall fields are automatically indexedall fields are automatically indexedjanein
SQL infoSupport of SQLja infokeine vollständige Unterstützung eines SQL-StandardsKusto Query Language (KQL), SQL subsetSQL-like query languageneinnein
APIs und andere ZugriffskonzepteJDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
gRPC
HTTP REST
WebSocket
In-process Library
Pipes
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBC.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
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infoin PythonYes, possible languages: KQL, Python, Rneinnein
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeedsnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceShardingSharding inforange basedkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationkeine
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistencykeine
Fremdschlüssel inforeferenzielle Integritätja infowerden aber nicht 'enforced'neinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinAtomic single-document operationsnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infoMVCC basedja infoby using the rrdcached daemon
Durability infoDauerhafte Speicherung der DatenjajaUsing Apache Lucenejaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinja
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authenticationja infousers and table-level permissionsnein

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Weitere Ressourcen
Amazon RedshiftMicrosoft Azure Data ExplorerNSDbRethinkDBRRDtool
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