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DBMS > Dgraph vs. eXtremeDB vs. GridDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer

Vergleich der Systemeigenschaften Dgraph vs. eXtremeDB vs. GridDB vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDgraph  Xaus Vergleich ausschliesseneXtremeDB  Xaus Vergleich ausschliessenGridDB  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessen
KurzbeschreibungVerteiltes, skalierbares Graph DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringScalable in-memory time series database optimized for IoT and Big DataGlobally distributed, horizontally scalable, multi-model database serviceFully managed big data interactive analytics platform
Primäres DatenbankmodellGraph DBMSRelational DBMS
Time Series DBMS
Time Series DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Relational DBMS infocolumn oriented
Sekundäre DatenbankmodelleKey-Value Store
Relational DBMS
Spatial DBMSDocument 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
Punkte1,45
Rang#156  Overall
#15  Graph DBMS
Punkte0,74
Rang#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Punkte1,95
Rang#128  Overall
#10  Time Series DBMS
Punkte29,04
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitedgraph.iowww.mcobject.comgriddb.netazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­services/­data-explorer
Technische Dokumentationdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmdocs.griddb.netlearn.microsoft.com/­azure/­cosmos-dbdocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerDgraph Labs, Inc.McObjectToshiba CorporationMicrosoftMicrosoft
Erscheinungsjahr20162001201320142019
Aktuelle Version8.2, 20215.1, August 2022cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen 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 verfügbarneinneinneinjaja
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheGoC und C++C++
Server BetriebssystemeLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linuxgehostetgehostet
DatenschemaschemafreijajaschemafreiFixed schema with schema-less datatypes (dynamic)
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infonumerical, string, blob, geometry, boolean, timestampja infoJSON typesja 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, XSLTneinnein infosupport of XML interfaces availableneinja
Sekundärindizesjajajaja infoAll properties auto-indexed by defaultall fields are automatically indexed
SQL infoSupport of SQLneinja infowith the option: eXtremeSQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languageKusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresneinjaneinJavaScriptYes, possible languages: KQL, Python, R
Triggersneinja infoby defining eventsjaJavaScriptja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenjahorizontale Partitionierung / shardingShardingSharding infoImplizit im Cloud ServiceSharding infoImplicit feature of the cloud service
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSynchronous replication via RaftActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
Source-Replica Replikationja infoImplizit im Cloud Serviceja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*Spark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate consistency within container, eventual consistency across containersBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACID at container levelMulti-item ACID transactions with snapshot isolation within a partitionnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajanein
Berechtigungskonzept infoZugriffskontrollenein infoPlanned for future releasesAccess rights for users can be defined per databaseZugriffsrechte bis auf item level einstellbarAzure Active Directory Authentication
Weitere Informationen bereitgestellt vom Systemhersteller
DgrapheXtremeDBGridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data Explorer
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» mehr
GridDB is a highly scalable, in-memory time series database optimized for IoT and...
» mehr
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» mehr
1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» mehr
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» mehr
Factory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» mehr
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» mehr
Denso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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GitHub trending repository
» mehr
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Open Source license (AGPL v3 & Apache v2) Commercial license (subscription)
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Weitere Ressourcen
DgrapheXtremeDBGridDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data Explorer
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