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DBMS > Dgraph vs. Microsoft Azure Data Explorer vs. MongoDB vs. Raima Database Manager

Vergleich der Systemeigenschaften Dgraph vs. Microsoft Azure Data Explorer vs. MongoDB vs. Raima Database Manager

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameDgraph  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMongoDB  Xaus Vergleich ausschliessenRaima Database Manager infoformerly named db_Vista  Xaus Vergleich ausschliessen
KurzbeschreibungVerteiltes, skalierbares Graph DBMSFully managed big data interactive analytics platformEiner der meistverwendeten Document StoresRDBMS with a small footprint, either embedded into an application or used as a database server
Primäres DatenbankmodellGraph DBMSRelational DBMS infocolumn orientedDocument StoreRelational 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)
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
Spatial DBMS
Suchmaschine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,54
Rang#143  Overall
#11  Graph DBMS
Punkte7,54
Rang#58  Overall
#34  Relational DBMS
Punkte478,24
Rang#5  Overall
#1  Document Stores
Punkte0,51
Rang#241  Overall
#116  Relational DBMS
#18  Time Series DBMS
Websitedgraph.ioazure.microsoft.com/­services/­data-explorerwww.mongodb.comraima.com
Technische Dokumentationdgraph.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.mongodb.com/­manualdocs.raima.com
EntwicklerDgraph Labs, Inc.MicrosoftMongoDB, IncRaima Inc.
Erscheinungsjahr2016201920091984
Aktuelle Versioncloud service with continuous releases5.0.6, Jaenner 202215, Juni 2021
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.kommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjanein infoMongoDB available as DBaaS (MongoDB Atlas)nein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
ImplementierungsspracheGoC++C
Server BetriebssystemeLinux
OS X
Windows
gehostetLinux
OS X
Solaris
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
DatenschemaschemafreiFixed schema with schema-less datatypes (dynamic)schemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Strukturja
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-typesja infostring, integer, double, decimal, boolean, date, object_id, geospatialja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein infoExporting/Importing of XML structures possible
Sekundärindizesjaall fields are automatically indexedjaja
SQL infoSupport of SQLneinKusto Query Language (KQL), SQL subsetRead-only SQL queries via the MongoDB Connector for BIja
APIs und andere ZugriffskonzepteGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietäres Protokoll basierend auf JSONADO.NET
JDBC
ODBC
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript infoinoffizielle Driver
C
C#
C++
Clojure infoinoffizielle Driver
ColdFusion infoinoffizielle Driver
D infoinoffizielle Driver
Dart infoinoffizielle Driver
Delphi infoinoffizielle Driver
Erlang
Go
Groovy infoinoffizielle Driver
Haskell
Java
JavaScript
Lisp infoinoffizielle Driver
Lua infoinoffizielle Driver
MatLab infoinoffizielle Driver
Perl
PHP
PowerShell infoinoffizielle Driver
Prolog infoinoffizielle Driver
Python
R infoinoffizielle Driver
Ruby
Rust
Scala
Smalltalk infoinoffizielle Driver
Swift
.Net
C
C++
Objective-C
PL/SQL
Server-seitige Scripts infoStored ProceduresneinYes, possible languages: KQL, Python, RJavaScriptja infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infoin MongoDB Atlas onlyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenjaSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontale Partitionierung
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSynchronous replication via Raftja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infobei jedem Schreibvorgang individuell einstellbar
Immediate Consistency or Eventual Consistency depending on configuration
Fremdschlüssel inforeferenzielle Integritätneinneinnein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRefja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajaja infooptional, enabled by defaultja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoIn-memory storage engine introduced with MongoDB version 3.2ja
Berechtigungskonzept infoZugriffskontrollenein infoPlanned for future releasesAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollennein
Weitere Informationen bereitgestellt vom Systemhersteller
DgraphMicrosoft Azure Data ExplorerMongoDBRaima Database Manager infoformerly named db_Vista
Specific characteristicsAzure Data Explorer is a fast and highly scalable data exploration service for log...
» mehr
MongoDB’s application data platform provides developers a unified interface to power...
» mehr
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
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Competitive advantagesKusto Query Language (innovative query language, optimized for high performance data...
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The MongoDB platform can be used by developers building transactional, operational,...
» mehr
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» mehr
Typical application scenariosIoT applications IoT devices generate billions of sensor readings. Normalizing and...
» mehr
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» mehr
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» mehr
Key customersMicrosoft, DocuSign, Taboola, Bosch, Siemens Healthineers, Bühler, Ecolab, Zoomd
» mehr
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
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Market metricsAzure Data Explorer is the data service for Azure Monitor, Azure Time Series Insights,...
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200+ million downloads, over 1.5M Atlas database clusters under management handling...
» mehr
Over 30 000 applications developers worldwide have field-tested RDM products More...
» mehr
Licensing and pricing modelsAn Azure Data Explorer cluster is a pair of engine and data management clusters which...
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MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» mehr
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» mehr
Neuigkeiten

Raima Announces Release of Raima Database Manager (RDM) v15.2, a Powerful Embedded Database for Mission-Critical Applications
1. März 2022

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10. Juni 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8. Oktober 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions for the IoT Edge Industry
1. Oktober 2020

Raima Expands Their Reseller Network in Asia
19. Mai 2020

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

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