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DBMS > Geode vs. Greenplum vs. GridDB vs. Microsoft Azure Data Explorer vs. TimesTen

Vergleich der Systemeigenschaften Geode vs. Greenplum vs. GridDB vs. Microsoft Azure Data Explorer vs. TimesTen

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGeode  Xaus Vergleich ausschliessenGreenplum  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTimesTen  Xaus Vergleich ausschliessen
KurzbeschreibungGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Scalable in-memory time series database optimized for IoT and Big DataFully managed big data interactive analytics platformIn-Memory RDBMS compatible to Oracle
Primäres DatenbankmodellKey-Value StoreRelational DBMSTime Series DBMSRelational DBMS infocolumn orientedRelational DBMS
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Key-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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,92
Rang#131  Overall
#23  Key-Value Stores
Punkte8,37
Rang#48  Overall
#30  Relational DBMS
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1,31
Rang#163  Overall
#74  Relational DBMS
Websitegeode.apache.orggreenplum.orggriddb.netazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database/­technologies/­related/­timesten.html
Technische Dokumentationgeode.apache.org/­docsdocs.greenplum.orgdocs.griddb.netdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­database/­timesten-18.1
EntwicklerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pivotal Software Inc.Toshiba CorporationMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Erscheinungsjahr20022005201320191998
Aktuelle Version1.1, February 20177.0.0, September 20235.1, August 2022cloud service with continuous releases11 Release 2 (11.2.2.8.0)
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablekommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC++
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM infothe JDK (8 or later) is also requiredLinuxLinuxgehostetAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
DatenschemaschemafreijajaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja 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-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinja infoseit Version 4.2neinjanein
Sekundärindizesneinjajaall fields are automatically indexedja
SQL infoSupport of SQLSQL-like query language (OQL)jaSQL92, SQL-like TQL (Toshiba Query Language)Kusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteJava Client API
Memcached Protokoll
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Unterstützte Programmiersprachen.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
PL/SQL
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte FunktionenjaneinYes, possible languages: KQL, Python, RPL/SQL
Triggersja infoCache Event Listenersjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source ReplikationSource-Replica ReplikationSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinjaConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenyes, on a single nodeACIDACID at container levelneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infoby means of logfiles and checkpoints
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjaneinja
Berechtigungskonzept infoZugriffskontrolleAccess rights per client and object definableBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess rights for users can be defined per databaseAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard
Weitere Informationen bereitgestellt vom Systemhersteller
GeodeGreenplumGridDBMicrosoft Azure Data ExplorerTimesTen
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)
» mehr

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Weitere Ressourcen
GeodeGreenplumGridDBMicrosoft Azure Data ExplorerTimesTen
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