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DBMS > GridGain vs. Microsoft Azure Data Explorer vs. Oracle vs. Raima Database Manager vs. ReductStore

Vergleich der Systemeigenschaften GridGain vs. Microsoft Azure Data Explorer vs. Oracle vs. Raima Database Manager vs. ReductStore

Redaktionelle Informationen bereitgestellt von DB-Engines
NameGridGain  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle  Xaus Vergleich ausschliessenRaima Database Manager infoformerly named db_Vista  Xaus Vergleich ausschliessenReductStore  Xaus Vergleich ausschliessen
KurzbeschreibungGridGain is an in-memory computing platform, built on Apache IgniteFully managed big data interactive analytics platformWeit verbreitetes, allgemein einsetzbares RDBMSRDBMS with a small footprint, either embedded into an application or used as a database serverDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMSRelational DBMS
Time Series DBMS
Time Series 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
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,55
Rang#150  Overall
#26  Key-Value Stores
#70  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1244,08
Rang#1  Overall
#1  Relational DBMS
Punkte0,49
Rang#259  Overall
#121  Relational DBMS
#21  Time Series DBMS
Punkte0,05
Rang#384  Overall
#44  Time Series DBMS
Websitewww.gridgain.comazure.microsoft.com/­services/­data-explorerwww.oracle.com/­databaseraima.comgithub.com/­reductstore
www.reduct.store
Technische Dokumentationwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­databasedocs.raima.comwww.reduct.store/­docs
EntwicklerGridGain Systems, Inc.MicrosoftOracleRaima Inc.ReductStore LLC
Erscheinungsjahr20072019198019842023
Aktuelle VersionGridGain 8.5.1cloud service with continuous releases23c, September 202315, Juni 20211.9, März 2024
Lizenz infoCommercial or Open Sourcekommerziellkommerziellkommerziell infoeingeschränkte kostenlose Version verfügbarkommerziellOpen Source infoBusiness Source License 1.1
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++, .NetC und C++CC++, Rust
Server BetriebssystemeLinux
OS X
Solaris
Windows
gehostetAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Docker
Linux
macOS
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)ja infoSchemaless in JSON and XML columnsja
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-typesjaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjajajanein infoExporting/Importing of XML structures possible
Sekundärindizesjaall fields are automatically indexedjaja
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLKusto Query Language (KQL), SQL subsetja infomit proprietären Erweiterungenja
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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
RESTful HTTP API
HTTP API
Unterstützte ProgrammiersprachenC#
C++
Java
PHP
Python
Ruby
Scala
.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++
Objective-C
PL/SQL
C++
JavaScript (Node.js)
Python
Rust
Server-seitige Scripts infoStored Proceduresyes (compute grid and cache interceptors can be used instead)Yes, possible languages: KQL, Python, RPL/SQL infoauch Java stored procedures möglichja infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
Triggersyes (cache interceptors and events)ja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjaja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioninghorizontale Partitionierung
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.Multi-Source Replikation
Source-Replica Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenyes (compute grid and hadoop accelerator)Spark connector (open source): github.com/­Azure/­azure-kusto-sparknein infokann in PL/SQL realisiert werdennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Fremdschlüssel inforeferenzielle Integritätneinneinjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACID infomit parameterisierbarem isolation levelACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoVersion 12c introduced the new option 'Oracle Database In-Memory'ja
Berechtigungskonzept infoZugriffskontrolleSecurity Hooks for custom implementationsAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardnein
Weitere Informationen bereitgestellt vom Systemhersteller
GridGainMicrosoft Azure Data ExplorerOracleRaima Database Manager infoformerly named db_VistaReductStore
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» mehr
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» mehr
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
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Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» mehr
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» mehr
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» mehr
Neuigkeiten

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1. Oktober 2020

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19. Mai 2020

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