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DBMS > Amazon Redshift vs. Blueflood vs. Datomic vs. Microsoft Azure Data Explorer vs. RethinkDB

Vergleich der Systemeigenschaften Amazon Redshift vs. Blueflood vs. Datomic vs. Microsoft Azure Data Explorer vs. RethinkDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Redshift  Xaus Vergleich ausschliessenBlueflood  Xaus Vergleich ausschliessenDatomic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessen
KurzbeschreibungLarge scale data warehouse service for use with business intelligence toolsSkalierbare Timeseries DBMS basierend auf CassandraDBMS mit Fokus auf der Abspeicherung von historischen Daten und 'point-in-time queries'. Es verwendet Fremdsysteme zur Speicherung der DatenFully managed big data interactive analytics platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primäres DatenbankmodellRelational DBMSTime Series DBMSRelational DBMSRelational DBMS infocolumn orientedDocument 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)
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
Punkte24,86
Rang#32  Overall
#18  Relational DBMS
Punkte0,06
Rang#315  Overall
#28  Time Series DBMS
Punkte1,80
Rang#131  Overall
#65  Relational DBMS
Punkte6,62
Rang#62  Overall
#34  Relational DBMS
Punkte3,20
Rang#100  Overall
#18  Document Stores
Websiteaws.amazon.com/­redshiftblueflood.iowww.datomic.comazure.microsoft.com/­services/­data-explorerrethinkdb.com
Technische Dokumentationdocs.aws.amazon.com/­redshiftgithub.com/­rackerlabs/­blueflood/­wikidocs.datomic.comdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docs
EntwicklerAmazon (based on PostgreSQL)RackspaceCognitectMicrosoftThe Linux Foundation infosince July 2017
Erscheinungsjahr20122013201220192009
Aktuelle Version0.9.5951, Juli 2019cloud service with continuous releases2.4.1, August 2020
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache 2.0kommerziell infoLimitierte Edition gratiskommerziellOpen Source infoApache Version 2
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCJavaJava, ClojureC++
Server BetriebssystemegehostetLinux
OS X
Alle Betriebssysteme mit einer Java VMgehostetLinux
OS X
Windows
Datenschemajavordefiniertes SchemajaFixed schema with schema-less datatypes (dynamic)schemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja 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, XSLTneinneinneinjanein
Sekundärindizeseingeschränktneinjaall fields are automatically indexedja
SQL infoSupport of SQLja infokeine vollständige Unterstützung eines SQL-StandardsneinneinKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteJDBC
ODBC
HTTP RESTRESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBCClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
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 Pythonneinja infoTransaction FunctionsYes, possible languages: KQL, Python, R
TriggersneinneinBy using transaction functionsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeeds
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infobasierend auf Cassandrakeine infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud serviceSharding inforange based
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjafrei wählbarer Replikationsfaktor infobasierend auf Cassandrakeine infoBut extensive use of caching in the application peersja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency infobasierend auf Cassandra
Immediate Consistency infobasierend auf Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowerden aber nicht 'enforced'neinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDneinAtomic single-document operations
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja infoMVCC based
Durability infoDauerhafte Speicherung der Datenjajaja infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)jaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja inforecommended only for testing and developmentneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardneinneinAzure Active Directory Authenticationja infousers and table-level permissions
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon RedshiftBluefloodDatomicMicrosoft Azure Data ExplorerRethinkDB
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» mehr
Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
» mehr
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» mehr
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» mehr
Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
» mehr

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Weitere Ressourcen
Amazon RedshiftBluefloodDatomicMicrosoft Azure Data ExplorerRethinkDB
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