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DBMS > Apache IoTDB vs. Graph Engine vs. Machbase Neo vs. Microsoft Azure Data Explorer vs. OceanBase

Vergleich der Systemeigenschaften Apache IoTDB vs. Graph Engine vs. Machbase Neo vs. Microsoft Azure Data Explorer vs. OceanBase

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache IoTDB  Xaus Vergleich ausschliessenGraph Engine infoformer name: Trinity  Xaus Vergleich ausschliessenMachbase Neo infoFormer name was Infiniflux  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOceanBase  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 engineTimeSeries DBMS for AIoT and BigDataFully managed big data interactive analytics platformA distributed, high available RDBMS compatible with Oracle and MySQL
Primäres DatenbankmodellTime Series DBMSGraph DBMS
Key-Value Store
Time Series DBMSRelational DBMS infocolumn orientedRelational 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
Wide Column Store
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
Punkte0,12
Rang#339  Overall
#30  Time Series DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1,66
Rang#147  Overall
#68  Relational DBMS
Websiteiotdb.apache.orgwww.graphengine.iomachbase.comazure.microsoft.com/­services/­data-exploreren.oceanbase.com
Technische Dokumentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.graphengine.io/­docs/­manualmachbase.com/­dbmsdocs.microsoft.com/­en-us/­azure/­data-exploreren.oceanbase.com/­docs/­oceanbase-database
EntwicklerApache Software FoundationMicrosoftMachbaseMicrosoftOceanBase infopreviously Alibaba and Ant Group
Erscheinungsjahr20182010201320192010
Aktuelle Version1.1.0, April 2023V8.0, August 2023cloud service with continuous releases4.3.0, April 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensekommerziell infofree test version availablekommerziellOpen Source infoCommercial license available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava.NET and CCC++
Server BetriebssystemeAlle Betriebssysteme mit einer Java VM (>=1.8).NETLinux
macOS
Windows
gehostetLinux
DatenschemajajajaFixed schema with schema-less datatypes (dynamic)ja
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjaja
Sekundärindizesjajaall fields are automatically indexedja
SQL infoSupport of SQLSQL-like query languageneinSQL-like query languageKusto Query Language (KQL), SQL subsetja
APIs und andere ZugriffskonzepteJDBC
Native API
RESTful HTTP APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietäres native API
Table API
Unterstützte ProgrammiersprachenC
C#
C++
Go
Java
Python
Scala
C#
C++
F#
Visual Basic
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Server-seitige Scripts infoStored ProceduresjajaneinYes, possible languages: KQL, Python, RPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible mode
Triggersjaneinneinja 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 PartitionierungShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factorja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication using Paxos
MapReduce infoBietet ein API für Map/Reduce OperationenIntegration with Hadoop and SparkneinSpark 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
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
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 storageneinjaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaja infovolatile and lookup tablenein
Berechtigungskonzept infoZugriffskontrollejaeinfacher Passwort-basierter ZugriffsschutzAzure Active Directory AuthenticationAccess rights for users, groups and roles according to SQL-standard

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Weitere Ressourcen
Apache IoTDBGraph Engine infoformer name: TrinityMachbase Neo infoFormer name was InfinifluxMicrosoft Azure Data ExplorerOceanBase
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