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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Redshift  Xaus Vergleich ausschliessenDatomic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOpenMLDB  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessen
KurzbeschreibungLarge scale data warehouse service for use with business intelligence toolsDBMS 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 platformAn open-source machine learning database that provides a feature platform for training and inferenceDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational 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
Relational DBMSSpatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte17,94
Rang#34  Overall
#21  Relational DBMS
Punkte1,59
Rang#150  Overall
#69  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,02
Rang#367  Overall
#37  Time Series DBMS
Punkte2,74
Rang#105  Overall
#19  Document Stores
Websiteaws.amazon.com/­redshiftwww.datomic.comazure.microsoft.com/­services/­data-exploreropenmldb.airethinkdb.com
Technische Dokumentationdocs.aws.amazon.com/­redshiftdocs.datomic.comdocs.microsoft.com/­en-us/­azure/­data-exploreropenmldb.ai/­docs/­zh/­mainrethinkdb.com/­docs
EntwicklerAmazon (based on PostgreSQL)CognitectMicrosoft4 Paradigm Inc.The Linux Foundation infosince July 2017
Erscheinungsjahr20122012201920202009
Aktuelle Version1.0.6735, Juni 2023cloud service with continuous releases2024-2 February 20242.4.1, August 2020
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infoLimitierte Edition gratiskommerziellOpen SourceOpen 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.
ImplementierungsspracheCJava, ClojureC++, Java, ScalaC++
Server BetriebssystemegehostetAlle Betriebssysteme mit einer Java VMgehostetLinuxLinux
OS X
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)Fixed schemaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja 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 indexedjaja
SQL infoSupport of SQLja infokeine vollständige Unterstützung eines SQL-StandardsneinKusto Query Language (KQL), SQL subsetjanein
APIs und andere ZugriffskonzepteJDBC
ODBC
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
SQLAlchemy
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBCClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Go
Java
Python
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 Pythonja infoTransaction FunctionsYes, possible languages: KQL, Python, Rnein
TriggersneinBy using transaction functionsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinClient-side triggers through changefeeds
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeine infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding inforange based
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjakeine 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 ReplikationSource-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja infowerden aber nicht 'enforced'neinneinneinnein
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 Datenjaja infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)jajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja inforecommended only for testing and developmentneinjanein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardneinAzure Active Directory Authenticationfine grained access rights according to SQL-standardja infousers and table-level permissions

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Weitere Ressourcen
Amazon RedshiftDatomicMicrosoft Azure Data ExplorerOpenMLDBRethinkDB
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