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DBMS > Amazon DynamoDB vs. Blazegraph vs. Microsoft Azure Data Explorer vs. RethinkDB vs. Spark SQL

Vergleich der Systemeigenschaften Amazon DynamoDB vs. Blazegraph vs. Microsoft Azure Data Explorer vs. RethinkDB vs. Spark SQL

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NameAmazon DynamoDB  Xaus Vergleich ausschliessenBlazegraph  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRethinkDB  Xaus Vergleich ausschliessenSpark SQL  Xaus Vergleich ausschliessen
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
KurzbeschreibungGehostetes, skalierbares Datenbankservice von Amazon; die Daten werden in der Amazon Cloud gespeichertHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Fully managed big data interactive analytics platformDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL ist ein Spark-Modul für die Verarbeitung strukturierter Daten
Primäres DatenbankmodellDocument Store
Key-Value Store
Graph DBMS
RDF Store
Relational DBMS infocolumn orientedDocument StoreRelational 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
Punkte74,07
Rang#17  Overall
#3  Document Stores
#2  Key-Value Stores
Punkte0,75
Rang#219  Overall
#19  Graph DBMS
#8  RDF Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,74
Rang#105  Overall
#19  Document Stores
Punkte18,96
Rang#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­dynamodbblazegraph.comazure.microsoft.com/­services/­data-explorerrethinkdb.comspark.apache.org/­sql
Technische Dokumentationdocs.aws.amazon.com/­dynamodbwiki.blazegraph.comdocs.microsoft.com/­en-us/­azure/­data-explorerrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
EntwicklerAmazonBlazegraphMicrosoftThe Linux Foundation infosince July 2017Apache Software Foundation
Erscheinungsjahr20122006201920092014
Aktuelle Version2.1.5, Maerz 2019cloud service with continuous releases2.4.1, August 20203.5.0 ( 2.13), September 2023
Lizenz infoCommercial or Open Sourcekommerziell infokostenlos bis zu einer gewissen Anzahl von DatenbankoperationenOpen Source infoerweiterte kommerzielle Lizenz verfügbarkommerziellOpen Source infoApache Version 2Open Source infoApache 2.0
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.
ImplementierungsspracheJavaC++Scala
Server BetriebssystemegehostetLinux
OS X
Windows
gehostetLinux
OS X
Windows
Linux
OS X
Windows
DatenschemaschemafreischemafreiFixed schema with schema-less datatypes (dynamic)schemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infoRDF literal typesja 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, geometryja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinnein
Sekundärindizesjajaall fields are automatically indexedjanein
SQL infoSupport of SQLneinSPARQL is used as query languageKusto Query Language (KQL), SQL subsetneinSQL-like DML and DDL statements
APIs und andere ZugriffskonzepteRESTful HTTP APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Unterstützte Programmiersprachen.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.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
Java
Python
R
Scala
Server-seitige Scripts infoStored ProceduresneinjaYes, possible languages: KQL, Python, Rnein
Triggersja infoby integration with AWS Lambdaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyClient-side triggers through changefeedsnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingSharding infoImplicit feature of the cloud serviceSharding inforange basedyes, utilizing Spark Core
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjajaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikationkeine
MapReduce infoBietet ein API für Map/Reduce Operationennein infokann über Amazon Elastic MapReduce (Amazon EMR) realisiert werdenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency infokann bei LeseOperationen spezifiziert werden
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoRelationships in Graphsneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID infoACID across one or more tables within a single AWS account and regionACIDneinAtomic single-document operationsnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja infoMVCC basedja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinneinnein
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen über AWS Identity and Access Management (IAM) definierbarSecurity and Authentication via Web Application Container (Tomcat, Jetty)Azure Active Directory Authenticationja infousers and table-level permissionsnein

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Weitere Ressourcen
Amazon DynamoDBBlazegraphMicrosoft Azure Data ExplorerRethinkDBSpark SQL
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