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DBMS > 4D vs. Apache IoTDB vs. ClickHouse vs. Microsoft Azure Data Explorer vs. ToroDB

Vergleich der Systemeigenschaften 4D vs. Apache IoTDB vs. ClickHouse vs. Microsoft Azure Data Explorer vs. ToroDB

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Name4D infofrüherer Name: 4th Dimension  Xaus Vergleich ausschliessenApache IoTDB  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenToroDB  Xaus Vergleich ausschliessen
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
KurzbeschreibungAnwendungsentwicklungsumgebung mit integrierter DatenbankAn 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 high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Fully managed big data interactive analytics platformA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primäres DatenbankmodellRelational DBMSTime Series DBMSRelational DBMSRelational DBMS infocolumn orientedDocument Store
Sekundäre DatenbankmodelleTime Series 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
Punkte2,58
Rang#108  Overall
#54  Relational DBMS
Punkte1,18
Rang#173  Overall
#15  Time Series DBMS
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Websitewww.4d.comiotdb.apache.orgclickhouse.comazure.microsoft.com/­services/­data-explorergithub.com/­torodb/­server
Technische Dokumentationdeveloper.4d.comiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlclickhouse.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
Entwickler4D, IncApache Software FoundationClickhouse Inc.Microsoft8Kdata
Erscheinungsjahr19842018201620192016
Aktuelle Versionv20, April 20231.1.0, April 2023v24.4.1.2088-stable, Mai 2024cloud service with continuous releases
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2.0Open Source infoApache 2.0kommerziellOpen Source infoAGPL-V3
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.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
ImplementierungsspracheJavaC++Java
Server BetriebssystemeOS X
Windows
Alle Betriebssysteme mit einer Java VM (>=1.8)FreeBSD
Linux
macOS
gehostetAlle Betriebssysteme mit einer Java 7 VM
DatenschemajajajaFixed schema with schema-less datatypes (dynamic)schemafrei
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 infostring, integer, double, boolean, date, object_id
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinneinjanein
Sekundärindizesjajayesall fields are automatically indexed
SQL infoSupport of SQLja infoclose to SQL 92SQL-like query languageClose to ANSI SQL (SQL/JSON + extensions)Kusto Query Language (KQL), SQL subset
APIs und andere ZugriffskonzepteODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
Native API
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Unterstützte Programmiersprachen4D eigene IDE
PHP
C
C#
C++
Go
Java
Python
Scala
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-seitige Scripts infoStored ProceduresjajajaYes, possible languages: KQL, Python, R
Triggersjajaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeinehorizontal partitioning (by time range) + vertical partitioning (by deviceId)key based and customSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.ja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce OperationenneinIntegration with Hadoop and SparkneinSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinneinnein
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 haltenneinjajanein
Berechtigungskonzept infoZugriffskontrolleBenutzer und GruppenjaAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Azure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen

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Weitere Ressourcen
4D infofrüherer Name: 4th DimensionApache IoTDBClickHouseMicrosoft Azure Data ExplorerToroDB
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