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DBMS > BoltDB vs. Elasticsearch vs. GridDB vs. InterSystems IRIS vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften BoltDB vs. Elasticsearch vs. GridDB vs. InterSystems IRIS vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameBoltDB  Xaus Vergleich ausschliessenElasticsearch  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenInterSystems IRIS  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungAn embedded key-value store for Go.Eine moderne Such- und Analyseplattform basierend auf Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricScalable in-memory time series database optimized for IoT and Big DataA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully managed big data interactive analytics platform
Primäres DatenbankmodellKey-Value StoreSuchmaschineTime Series DBMSDocument Store
Key-Value Store
Object oriented DBMS
Relational DBMS
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleDocument Store
Spatial DBMS
Vektor 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
Punkte0,80
Rang#215  Overall
#31  Key-Value Stores
Punkte132,83
Rang#7  Overall
#1  Suchmaschinen
Punkte2,09
Rang#120  Overall
#10  Time Series DBMS
Punkte3,54
Rang#84  Overall
#14  Document Stores
#10  Key-Value Stores
#1  Object oriented DBMS
#45  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.elastic.co/­elasticsearchgriddb.netwww.intersystems.com/­products/­intersystems-irisazure.microsoft.com/­services/­data-explorer
Technische Dokumentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.griddb.netdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerElasticToshiba CorporationInterSystemsMicrosoft
Erscheinungsjahr20132010201320182019
Aktuelle Version8.6, January 20235.1, August 20222023.3, Juni 2023cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoElastic LicenseOpen 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 verfügbarneinneinneinneinja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheGoJavaC++
Server BetriebssystemeBSD
Linux
OS X
Solaris
Windows
Alle Betriebssysteme mit einer Java VMLinuxAIX
Linux
macOS
Ubuntu
Windows
gehostet
Datenschemaschemafreischemafrei infoFlexible Typdefinitionen, die - sobald definiert - persistent bleiben.jadepending on used data modelFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjaja infonumerical, string, blob, geometry, boolean, timestampjaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjaja
Sekundärindizesneinja infoAlle Suchfelder werden automatisch indiziertjajaall fields are automatically indexed
SQL infoSupport of SQLneinSQL-like query languageSQL92, SQL-like TQL (Toshiba Query Language)jaKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteJava API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenGo.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresneinjaneinjaYes, possible languages: KQL, Python, R
Triggersneinja infoMittels Verwendung des 'Percolation' featuresjajaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingShardingShardingSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenkeinejaSource-Replica ReplikationSource-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinES-Hadoop ConnectorConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemkeineEventual Consistency infoSynchrone dokumentenbasierte Replikation. Write consistency konfigurierbar: one, quorum, allImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenjaneinACID at container levelACIDnein
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 haltenneinMemcached and Redis integrationjajanein
Berechtigungskonzept infoZugriffskontrolleneinAccess rights for users can be defined per databaseyesAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
BoltDBElasticsearchGridDBInterSystems IRISMicrosoft Azure Data Explorer
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» 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
BoltDBElasticsearchGridDBInterSystems IRISMicrosoft Azure Data Explorer
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