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DBMS > ClickHouse vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage vs. RDF4J vs. TypeDB

Vergleich der Systemeigenschaften ClickHouse vs. Microsoft Azure Data Explorer vs. Microsoft Azure Table Storage vs. RDF4J vs. TypeDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMicrosoft Azure Table Storage  Xaus Vergleich ausschliessenRDF4J infoformerly known as Sesame  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  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.Fully managed big data interactive analytics platformA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J ist ein Java Framework zur Verarbeitung von RDF Daten, sowohl Hauptspeicher- als auch Disk-basiert.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primäres DatenbankmodellRelational DBMSRelational DBMS infocolumn orientedWide Column StoreRDF StoreGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
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
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte4,48
Rang#75  Overall
#6  Wide Column Stores
Punkte0,69
Rang#230  Overall
#9  RDF Stores
Punkte0,65
Rang#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websiteclickhouse.comazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orgtypedb.com
Technische Dokumentationclickhouse.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerrdf4j.org/­documentationtypedb.com/­docs
EntwicklerClickhouse Inc.MicrosoftMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Vaticle
Erscheinungsjahr20162019201220042016
Aktuelle Versionv24.4.1.2088-stable, Mai 2024cloud service with continuous releases2.26.3, Jaenner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziellOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein
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.
ImplementierungsspracheC++JavaJava
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetgehostetLinux
OS X
Unix
Windows
Linux
OS X
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)schemafreija infoRDF Schemasja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinnein
Sekundärindizesyesall fields are automatically indexedneinjaja
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)Kusto Query Language (KQL), SQL subsetneinneinnein
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
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
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, Rneinjanein
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicekeineSharding infoby using Cassandra
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.ja infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keineMulti-Source Replikation infoby using Cassandra
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinja infoby using Apache Kafka and Apache Zookeeper
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinoptimistic LockingACID infoIsolation abhängig vom verwendeten APIACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infoIn-memory Storage wird ebenfalls unterstütztja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinnein
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.Azure Active Directory AuthenticationAccess rights based on private key authentication or shared access signaturesneinyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseMicrosoft Azure Data ExplorerMicrosoft Azure Table StorageRDF4J infoformerly known as SesameTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
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Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen
DrittanbieterAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
ClickHouseMicrosoft Azure Data ExplorerMicrosoft Azure Table StorageRDF4J infoformerly known as SesameTypeDB infoformerly named Grakn
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