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DBMS > Citus vs. ClickHouse vs. EsgynDB vs. Microsoft Azure Data Explorer vs. Prometheus

Vergleich der Systemeigenschaften Citus vs. ClickHouse vs. EsgynDB vs. Microsoft Azure Data Explorer vs. Prometheus

Redaktionelle Informationen bereitgestellt von DB-Engines
NameCitus  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenEsgynDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenPrometheus  Xaus Vergleich ausschliessen
KurzbeschreibungScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFully managed big data interactive analytics platformOpen Source Timeseries DBMS und Monitoring System
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational DBMSRelational DBMS infocolumn orientedTime Series DBMS
Sekundäre DatenbankmodelleDocument StoreTime 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
Punkte2,21
Rang#118  Overall
#56  Relational DBMS
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte0,16
Rang#329  Overall
#146  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte8,42
Rang#47  Overall
#2  Time Series DBMS
Websitewww.citusdata.comclickhouse.comwww.esgyn.cnazure.microsoft.com/­services/­data-explorerprometheus.io
Technische Dokumentationdocs.citusdata.comclickhouse.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerprometheus.io/­docs
EntwicklerClickhouse Inc.EsgynMicrosoft
Erscheinungsjahr20102016201520192015
Aktuelle Version8.1, Dezember 2018v24.4.1.2088-stable, Mai 2024cloud service with continuous releases
Lizenz infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0kommerziellkommerziellOpen Source infoApache 2.0
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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • 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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
ImplementierungsspracheCC++C++, JavaGo
Server BetriebssystemeLinuxFreeBSD
Linux
macOS
LinuxgehostetLinux
Windows
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-typesNumeric data only
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTja infospecific XML type available, but no XML query functionalityneinneinjanein infoImportieren von XML Daten möglich
Sekundärindizesjayesjaall fields are automatically indexednein
SQL infoSupport of SQLja infostandard, with numerous extensionsClose to ANSI SQL (SQL/JSON + extensions)jaKusto Query Language (KQL), SQL subsetnein
APIs und andere ZugriffskonzepteADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
ADO.NET
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP/JSON API
Unterstützte Programmiersprachen.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.jaJava Stored ProceduresYes, possible languages: KQL, Python, Rnein
Triggersjaneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkey based and customShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica Replikation infoother methods possible by using 3rd party extensionsAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replication between multi datacentersja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja infomittels Federation
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
keine
Fremdschlüssel inforeferenzielle Integritätjaneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDneinnein
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 haltenneinjaneinneinnein
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAccess 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.Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory Authenticationnein

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Zugehörige Produkte und Dienstleistungen
DrittanbieterDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

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Weitere Ressourcen
CitusClickHouseEsgynDBMicrosoft Azure Data ExplorerPrometheus
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