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DBMS > Microsoft Azure Data Explorer vs. Oracle vs. PostgreSQL vs. SAP HANA vs. Trino

Vergleich der Systemeigenschaften Microsoft Azure Data Explorer vs. Oracle vs. PostgreSQL vs. SAP HANA vs. Trino

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle  Xaus Vergleich ausschliessenPostgreSQL  Xaus Vergleich ausschliessenSAP HANA  Xaus Vergleich ausschliessenTrino  Xaus Vergleich ausschliessen
KurzbeschreibungFully managed big data interactive analytics platformWeit verbreitetes, allgemein einsetzbares RDBMSWeit verbreitetes, allgemein einsetzbares Open Source RDBMS infoEntwickelt als objektorientiertes DBMS, im Laufe der Zeit um 'Standards' wie SQL erweitertIn-memory DBMS. Verfügbar als appliance oder als cloud-serviceFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primäres DatenbankmodellRelational DBMS infocolumn orientedRelational DBMSRelational DBMS infomit objektorientierten Erweiterungen, z.B.: benutzerdefinierte Datentypen/Funktionen und Vererbung. Key/Value handling mit hstore Modul.Relational DBMSRelational 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
Document Store
Graph DBMS infowith Oracle Spatial and Graph
RDF Store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vektor DBMS infosince Oracle 23
Document Store
Graph DBMS infowith Apache Age
Spatial DBMS
Vektor DBMS infowith pgvector extension
Document Store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Document Store
Key-Value Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Wide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1236,29
Rang#1  Overall
#1  Relational DBMS
Punkte645,54
Rang#4  Overall
#4  Relational DBMS
Punkte44,69
Rang#22  Overall
#16  Relational DBMS
Punkte5,00
Rang#66  Overall
#36  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.oracle.com/­databasewww.postgresql.orgwww.sap.com/­products/­hana.htmltrino.io
Technische Dokumentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­databasewww.postgresql.org/­docshelp.sap.com/­hanatrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
EntwicklerMicrosoftOraclePostgreSQL Global Development Group infowww.postgresql.org/­developerSAPTrino Software Foundation
Erscheinungsjahr201919801989 info1989: Postgres, 1996: PostgreSQL20102012 info2020 rebranded from PrestoSQL
Aktuelle Versioncloud service with continuous releases23c, September 202316.3, Mai 20242.0 SPS07 (April 4, 2023), April 2023
Lizenz infoCommercial or Open Sourcekommerziellkommerziell infoeingeschränkte kostenlose Version verfügbarOpen Source infoBSDkommerziellOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinnein infoauch als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
ImplementierungsspracheC und C++CJava
Server BetriebssystemegehostetAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Appliance oder cloud-serviceLinux
macOS infofor devlopment
DatenschemaFixed schema with schema-less datatypes (dynamic)ja infoSchemaless in JSON and XML columnsjajaja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajaja infospecific XML-type available, but no XML query functionality.neinnein
Sekundärindizesall fields are automatically indexedjajajadepending on connected data-source
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetja infomit proprietären Erweiterungenja infoStandard mit zahlreichen Erweiterungenjaja
APIs und andere ZugriffskonzepteMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Unterstützte Programmiersprachen.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-seitige Scripts infoStored ProceduresYes, possible languages: KQL, Python, RPL/SQL infoauch Java stored procedures möglichbenutzerdefinierte Funktionen inforealisiert z.B. mit spezifischer Sprache PL/pgSQL, aber auch andere Sprachen möglich (Perl, Python, Tcl, etc.)SQLScript, Ryes, depending on connected data-source
Triggersja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjajajanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashjadepending on connected data-source
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
Source-Replica Replikation infoandere Varianten durch Verwendung von 3rd party - toolsjadepending on connected data-source
MapReduce infoBietet ein API für Map/Reduce OperationenSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infokann in PL/SQL realisiert werdenneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistencydepending on connected data-source
Fremdschlüssel inforeferenzielle Integritätneinjajajanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACID infomit parameterisierbarem isolation levelACIDACIDdepending on connected data-source
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajadepending on connected data-source
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoVersion 12c introduced the new option 'Oracle Database In-Memory'neinja
Berechtigungskonzept infoZugriffskontrolleAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardjaSQL standard access control
Weitere Informationen bereitgestellt vom Systemhersteller
Microsoft Azure Data ExplorerOraclePostgreSQLSAP HANATrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» mehr
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
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Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» mehr
Key customersTrino is widely adopted across the globe as freely-available open source software....
» mehr
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» mehr
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
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Neuigkeiten

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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

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Weitere Ressourcen
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