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DBMS > GridGain vs. Microsoft Azure Data Explorer vs. Oracle NoSQL vs. Teradata Aster vs. TinkerGraph

Vergleich der Systemeigenschaften GridGain vs. Microsoft Azure Data Explorer vs. Oracle NoSQL vs. Teradata Aster vs. TinkerGraph

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGridGain  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle NoSQL  Xaus Vergleich ausschliessenTeradata Aster  Xaus Vergleich ausschliessenTinkerGraph  Xaus Vergleich ausschliessen
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
KurzbeschreibungGridGain is an in-memory computing platform, built on Apache IgniteFully managed big data interactive analytics platformA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesPlatform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedDocument Store
Key-Value Store
Relational DBMS
Relational DBMSGraph 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,47
Rang#154  Overall
#26  Key-Value Stores
#72  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte2,95
Rang#100  Overall
#17  Document Stores
#17  Key-Value Stores
#50  Relational DBMS
Punkte0,08
Rang#348  Overall
#35  Graph DBMS
Websitewww.gridgain.comazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database/­nosql/­technologies/­nosqltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technische Dokumentationwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
EntwicklerGridGain Systems, Inc.MicrosoftOracleTeradata
Erscheinungsjahr20072019201120052009
Aktuelle VersionGridGain 8.5.1cloud service with continuous releases23.3, Dezember 2023
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)kommerziellOpen Source infoApache 2.0
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.
ImplementierungsspracheJava, C++, .NetJavaJava
Server BetriebssystemeLinux
OS X
Solaris
Windows
gehostetLinux
Solaris SPARC/x86
Linux
DatenschemajaFixed schema with schema-less datatypes (dynamic)Support Fixed schema and Schema-less deployment with the ability to interoperate between them.Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesoptionaljaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajaneinja infoin Aster File Storenein
Sekundärindizesjaall fields are automatically indexedjajanein
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetSQL-like DML and DDL statementsjanein
APIs und andere ZugriffskonzepteHDFS API
Hibernate
JCache
JDBC
ODBC
Propriätäres Protokoll
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3
Unterstützte ProgrammiersprachenC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Groovy
Java
Server-seitige Scripts infoStored Proceduresyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, RneinR packagesnein
Triggersyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceShardingShardingkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes (replicated cache)ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featureja infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.keine
MapReduce infoBietet ein API für Map/Reduce Operationenyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integrationja infoSQL Map-Reduce Frameworknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infoabhängig von Konfiguration
Immediate Consistency or Eventual Consistency depending on configurationkeine
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja infoRelationships in graphs
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinkonfigurierbar infoACID innerhalb eines 'storage nodes' (=shard)ACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajanein
Durability infoDauerhafte Speicherung der Datenjajajajaoptional
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infooff heap cacheneinja
Berechtigungskonzept infoZugriffskontrolleSecurity Hooks for custom implementationsAzure Active Directory AuthenticationZugriffsrechte für Benutzer und RollenBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardnein

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Weitere Ressourcen
GridGainMicrosoft Azure Data ExplorerOracle NoSQLTeradata AsterTinkerGraph
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