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DBMS > Apache IoTDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Raima Database Manager vs. Transwarp ArgoDB

Vergleich der Systemeigenschaften Apache IoTDB vs. Graph Engine vs. Microsoft Azure Data Explorer vs. Raima Database Manager vs. Transwarp ArgoDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache IoTDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRaima Database Manager infoformerly named db_Vista  Xaus Vergleich ausschliessenTranswarp ArgoDB  Xaus Vergleich ausschliessen
KurzbeschreibungAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFully managed big data interactive analytics platformRDBMS with a small footprint, either embedded into an application or used as a database serverDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Relational DBMS infocolumn orientedRelational DBMS
Time Series DBMS
Relational 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
Suchmaschine
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,18
Rang#173  Overall
#15  Time Series DBMS
Punkte0,61
Rang#240  Overall
#21  Graph DBMS
#35  Key-Value Stores
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte0,46
Rang#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Punkte0,07
Rang#350  Overall
#153  Relational DBMS
Websiteiotdb.apache.orgwww.graphengine.ioazure.microsoft.com/­services/­data-explorerraima.comwww.transwarp.cn/­en/­product/­argodb
Technische Dokumentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.graphengine.io/­docs/­manualdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.raima.comdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
EntwicklerApache Software FoundationMicrosoftMicrosoftRaima Inc.Transwarp
Erscheinungsjahr2018201020191984
Aktuelle Version1.1.0, April 2023cloud service with continuous releases15, Juni 2021
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensekommerziellkommerziellkommerziell
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava.NET and CC
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM (>=1.8).NETgehostetAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jaja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja 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, XSLTneinneinjanein infoExporting/Importing of XML structures possible
Sekundärindizesjaall fields are automatically indexedjaja
SQL infoSupport of SQLSQL-like query languageneinKusto Query Language (KQL), SQL subsetjaja
APIs und andere ZugriffskonzepteJDBC
Native API
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Unterstützte ProgrammiersprachenC
C#
C++
Go
Java
Python
Scala
C#
C++
F#
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C++
Objective-C
PL/SQL
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Rja infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
Triggersjaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontale PartitionierungSharding infoImplicit feature of the cloud servicehorizontale Partitionierung
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenIntegration with Hadoop and SparkSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Fremdschlüssel inforeferenzielle Integritätneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)ja
Durability infoDauerhafte Speicherung der Datenjaoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagejajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja
Berechtigungskonzept infoZugriffskontrollejaAzure Active Directory Authenticationnein
Weitere Informationen bereitgestellt vom Systemhersteller
Apache IoTDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerRaima Database Manager infoformerly named db_VistaTranswarp ArgoDB
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
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Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
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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,...
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Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
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Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
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Neuigkeiten

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29. Februar 2024

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
1. Oktober 2020

Raima Expands Their Reseller Network in Asia
19. Mai 2020

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Weitere Ressourcen
Apache IoTDBGraph Engine infoformer name: TrinityMicrosoft Azure Data ExplorerRaima Database Manager infoformerly named db_VistaTranswarp ArgoDB
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