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DBMS > ClickHouse vs. H2 vs. LeanXcale vs. Microsoft Azure Data Explorer vs. mSQL

Vergleich der Systemeigenschaften ClickHouse vs. H2 vs. LeanXcale vs. Microsoft Azure Data Explorer vs. mSQL

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenH2  Xaus Vergleich ausschliessenLeanXcale  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenmSQL infoMini SQL  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesFully managed big data interactive analytics platformmSQL (Mini SQL) is a simple and lightweight RDBMS
Primäres DatenbankmodellRelational DBMSRelational DBMSKey-Value Store
Relational DBMS
Relational DBMS infocolumn orientedRelational DBMS
Sekundäre DatenbankmodelleTime Series DBMSSpatial 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
Punkte15,55
Rang#38  Overall
#23  Relational DBMS
Punkte8,33
Rang#46  Overall
#30  Relational DBMS
Punkte0,36
Rang#280  Overall
#40  Key-Value Stores
#129  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,27
Rang#169  Overall
#76  Relational DBMS
Websiteclickhouse.comwww.h2database.comwww.leanxcale.comazure.microsoft.com/­services/­data-explorerhughestech.com.au/­products/­msql
Technische Dokumentationclickhouse.com/­docswww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­data-explorer
EntwicklerClickhouse Inc.Thomas MuellerLeanXcaleMicrosoftHughes Technologies
Erscheinungsjahr20162005201520191994
Aktuelle Versionv24.4.1.2088-stable, Mai 20242.2.220, Juli 2023cloud service with continuous releases4.4, Oktober 2021
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)kommerziellkommerziellkommerziell infofree licenses can be provided
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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
ImplementierungsspracheC++JavaC
Server BetriebssystemeFreeBSD
Linux
macOS
Alle Betriebssysteme mit einer Java VMgehostetAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
DatenschemajajajaFixed schema with schema-less datatypes (dynamic)ja
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, XSLTneinneinjanein
Sekundärindizesyesjaall fields are automatically indexedja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)jaja infothrough Apache DerbyKusto Query Language (KQL), SQL subsetA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
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
JavaC
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-seitige Scripts infoStored ProceduresjaJava Stored Procedures and User-Defined FunctionsYes, possible languages: KQL, Python, Rnein
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customkeineSharding infoImplicit feature of the cloud servicekeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.With clustering: 2 database servers on different computers operate on identical copies of a databaseja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark 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 Integritätneinjajaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jajanein
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjajajaneinnein
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.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
ClickHouseH2LeanXcaleMicrosoft Azure Data ExplorermSQL infoMini SQL
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