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DBMS > Amazon Aurora vs. eXtremeDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics

Vergleich der Systemeigenschaften Amazon Aurora vs. eXtremeDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Microsoft Azure Synapse Analytics

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAmazon Aurora  Xaus Vergleich ausschliesseneXtremeDB  Xaus Vergleich ausschliessenHazelcast  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xaus Vergleich ausschliessen
KurzbeschreibungMySQL und PostgreSQL kompatibles RDBMS Cloud-Service von AmazonNatively in-memory DBMS with options for persistency, high-availability and clusteringA widely adopted in-memory data gridFully managed big data interactive analytics platformElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primäres DatenbankmodellRelational DBMSRelational DBMS
Time Series DBMS
Key-Value StoreRelational DBMS infocolumn orientedRelational DBMS
Sekundäre DatenbankmodelleDocument StoreDocument Store infoJSON support with IMDG 3.12Document 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte7,57
Rang#51  Overall
#32  Relational DBMS
Punkte0,80
Rang#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Punkte5,46
Rang#61  Overall
#7  Key-Value Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte19,93
Rang#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.mcobject.comhazelcast.comazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­services/­synapse-analytics
Technische Dokumentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.mcobject.com/­docs/­extremedb.htmhazelcast.org/­imdg/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­azure/­synapse-analytics
EntwicklerAmazonMcObjectHazelcastMicrosoftMicrosoft
Erscheinungsjahr20152001200820192016
Aktuelle Version8.2, 20215.3.6, November 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Version 2; commercial licenses availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC und C++JavaC++
Server BetriebssystemegehostetAIX
HP-UX
Linux
macOS
Solaris
Windows
Alle Betriebssysteme mit einer Java VMgehostetgehostet
DatenschemajajaschemafreiFixed schema with schema-less datatypes (dynamic)ja
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
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjanein infosupport of XML interfaces availableja infothe object must implement a serialization strategyjanein
Sekundärindizesjajajaall fields are automatically indexedja
SQL infoSupport of SQLjaja infowith the option: eXtremeSQLSQL-like query languageKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteADO.NET
JDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
JCache
JPA
Memcached Protokoll
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Unterstützte ProgrammiersprachenAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
PHP
Server-seitige Scripts infoStored Proceduresjajaja infoEvent Listeners, Executor ServicesYes, possible languages: KQL, Python, RTransact SQL
Triggersjaja infoby defining eventsja infoEventsja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierunghorizontale Partitionierung / shardingShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
ja infoReplicated Mapja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjajaneinneinnein infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDone or two-phase-commit; repeatable reads; read commitedneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajajanein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardRole-based access controlAzure Active Directory Authenticationja
Weitere Informationen bereitgestellt vom Systemhersteller
Amazon AuroraeXtremeDBHazelcastMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Weitere Ressourcen
Amazon AuroraeXtremeDBHazelcastMicrosoft Azure Data ExplorerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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