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DBMS > GridDB vs. Microsoft Azure Data Explorer vs. openGauss vs. Oracle vs. Yaacomo

Vergleich der Systemeigenschaften GridDB vs. Microsoft Azure Data Explorer vs. openGauss vs. Oracle vs. Yaacomo

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenopenGauss  Xaus Vergleich ausschliessenOracle  Xaus Vergleich ausschliessenYaacomo  Xaus Vergleich ausschliessen
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
KurzbeschreibungScalable in-memory time series database optimized for IoT and Big DataFully managed big data interactive analytics platformAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiWeit verbreitetes, allgemein einsetzbares RDBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primäres DatenbankmodellTime Series DBMSRelational DBMS infocolumn orientedRelational DBMSRelational DBMSRelational DBMS
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Document 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
Spatial DBMS
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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,06
Rang#184  Overall
#84  Relational DBMS
Punkte1244,08
Rang#1  Overall
#1  Relational DBMS
Websitegriddb.netazure.microsoft.com/­services/­data-explorergitee.com/­opengauss
opengauss.org
www.oracle.com/­databaseyaacomo.com
Technische Dokumentationdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.oracle.com/­en/­database
EntwicklerToshiba CorporationMicrosoftHuawei and openGauss communityOracleQ2WEB GmbH
Erscheinungsjahr20132019201919802009
Aktuelle Version5.1, August 2022cloud service with continuous releases3.0, March 202223c, September 2023
Lizenz infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellOpen Sourcekommerziell infoeingeschränkte kostenlose Version verfügbarkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++C, C++, JavaC und C++
Server BetriebssystemeLinuxgehostetLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Android
Linux
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)jaja infoSchemaless in JSON and XML columnsja
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infonumerical, string, blob, geometry, boolean, timestampja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinjanein
Sekundärindizesjaall fields are automatically indexedjajaja
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subsetANSI SQL 2011ja infomit proprietären Erweiterungenja
APIs und andere ZugriffskonzepteJDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Unterstützte ProgrammiersprachenC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
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
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, RjaPL/SQL infoauch Java stored procedures möglich
Triggersjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjajaja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)Sharding, horizontal partitioninghorizontale Partitionierung
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica ReplikationMulti-Source Replikation
Source-Replica Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein infokann in PL/SQL realisiert werdennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinjajaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID at container levelneinACIDACID infomit parameterisierbarem isolation levelACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinja infoVersion 12c introduced the new option 'Oracle Database In-Memory'ja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users can be defined per databaseAzure Active Directory AuthenticationAccess rights for users, groups and roles according to SQL-standardBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
GridDBMicrosoft Azure Data ExploreropenGaussOracleYaacomo
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» mehr
Market metricsGitHub trending repository
» mehr
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
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Weitere Ressourcen
GridDBMicrosoft Azure Data ExploreropenGaussOracleYaacomo
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