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DBMS > ClickHouse vs. EXASOL vs. Microsoft Azure Data Explorer vs. Oracle

Vergleich der Systemeigenschaften ClickHouse vs. EXASOL vs. Microsoft Azure Data Explorer vs. Oracle

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenEXASOL  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle  Xaus Vergleich ausschliessen
KurzbeschreibungA 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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully managed big data interactive analytics platformWeit verbreitetes, allgemein einsetzbares RDBMS
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational DBMS infocolumn orientedRelational DBMS
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
Document Store
Graph DBMS infowith Oracle Spatial and Graph
RDF Store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vektor DBMS infosince Oracle 23
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte1,99
Rang#124  Overall
#58  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1236,29
Rang#1  Overall
#1  Relational DBMS
Websiteclickhouse.comwww.exasol.comazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database
Technische Dokumentationclickhouse.com/­docswww.exasol.com/­resourcesdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­database
EntwicklerClickhouse Inc.ExasolMicrosoftOracle
Erscheinungsjahr2016200020191980
Aktuelle Versionv24.4.1.2088-stable, Mai 2024cloud service with continuous releases23c, September 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziellkommerziell infoeingeschränkte kostenlose Version verfügbar
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • 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.
ImplementierungsspracheC++C und C++
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
DatenschemajajaFixed schema with schema-less datatypes (dynamic)ja infoSchemaless in JSON and XML columns
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-typesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinjaja
Sekundärindizesyesjaall fields are automatically indexedja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)jaKusto Query Language (KQL), SQL subsetja infomit proprietären Erweiterungen
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
.Net
JDBC
ODBC
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Unterstützte ProgrammiersprachenC# 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
Java
Lua
Python
R
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-seitige Scripts infoStored Proceduresjabenutzerdefinierte FunktionenYes, possible languages: KQL, Python, RPL/SQL infoauch Java stored procedures möglich
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous 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.Multi-Source Replikation
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infoHadoop integrationSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein infokann in PL/SQL realisiert werden
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACID infomit parameterisierbarem isolation level
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajaneinja infoVersion 12c introduced the new option 'Oracle Database In-Memory'
Berechtigungskonzept infoZugriffskontrolleAccess 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.Access rights for users, groups and roles according to SQL-standardAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standard

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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
Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux.
» mehr

Navicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment.
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Weitere Ressourcen
ClickHouseEXASOLMicrosoft Azure Data ExplorerOracle
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