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DBMS > ClickHouse vs. Microsoft Azure Data Explorer vs. Neo4j vs. RDF4J vs. SiteWhere

Vergleich der Systemeigenschaften ClickHouse vs. Microsoft Azure Data Explorer vs. Neo4j vs. RDF4J vs. SiteWhere

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenNeo4j  Xaus Vergleich ausschliessenRDF4J infoformerly known as Sesame  Xaus Vergleich ausschliessenSiteWhere  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 platformScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsRDF4J ist ein Java Framework zur Verarbeitung von RDF Daten, sowohl Hauptspeicher- als auch Disk-basiert.M2M Integrationsplatform zur Speicherung und Abfrage von Zeitserien
Primäres DatenbankmodellRelational DBMSRelational DBMS infocolumn orientedGraph DBMSRDF StoreTime Series 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
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
Punkte44,46
Rang#23  Overall
#1  Graph DBMS
Punkte0,69
Rang#230  Overall
#9  RDF Stores
Punkte0,06
Rang#356  Overall
#35  Time Series DBMS
Websiteclickhouse.comazure.microsoft.com/­services/­data-explorerneo4j.comrdf4j.orggithub.com/­sitewhere/­sitewhere
Technische Dokumentationclickhouse.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerneo4j.com/­docsrdf4j.org/­documentationsitewhere1.sitewhere.io/­index.html
EntwicklerClickhouse Inc.MicrosoftNeo4j, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SiteWhere
Erscheinungsjahr20162019200720042010
Aktuelle Versionv24.4.1.2088-stable, Mai 2024cloud service with continuous releases5.19, April 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellOpen Source infoGPL Version3, kommerzielle Lizenzen verfügbar bei BedarfOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoCommon Public Attribution License Version 1.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinneinnein
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
ImplementierungsspracheC++Java, ScalaJavaJava
Server BetriebssystemeFreeBSD
Linux
macOS
gehostetLinux infoKann auch Server-los als embedded Java Datenbank verwendet werden.
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
DatenschemajaFixed schema with schema-less datatypes (dynamic)schemafrei und schema-optionalja infoRDF Schemasvordefiniertes Schema
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, XSLTneinjanein
Sekundärindizesyesall fields are automatically indexedja infoAustauschbares Index Subsystem, per Default Apache Lucenejanein
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
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP REST
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
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-seitige Scripts infoStored ProceduresjaYes, possible languages: KQL, Python, Rja infoUser defined Procedures and Functionsja
Triggersneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyja infomittels Event Handlerja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customSharding infoImplicit feature of the cloud serviceja, mit Neo4j FabrickeineSharding infobasierend auf HBase
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.Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlykeinefrei wählbarer Replikationsfaktor infobasierend auf HBase
MapReduce infoBietet ein API für Map/Reduce OperationenneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinja infoBeziehungen in Graphennein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDACID infoIsolation abhängig vom verwendeten APInein
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 haltenjaneinnein
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 AuthenticationUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)neinBenutzer mit feingranularem Berechtigungskonzept
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseMicrosoft Azure Data ExplorerNeo4jRDF4J infoformerly known as SesameSiteWhere
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» mehr
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» mehr
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» mehr
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» mehr
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» mehr
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» mehr
Neuigkeiten

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16. Mai 2024

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15. Mai 2024

New Security Feature in Neo4j Aura: Customer Managed Keys
15. Mai 2024

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
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

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 ExplorerNeo4jRDF4J infoformerly known as SesameSiteWhere
DB-Engines Blog Posts

Applying Graph Analytics to Game of Thrones
12. Juni 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22. Dezember 2015, Emil Eifrem (guest author)

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