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DBMS > ClickHouse vs. JanusGraph vs. Microsoft Azure Data Explorer vs. MonetDB vs. Sphinx

Vergleich der Systemeigenschaften ClickHouse vs. JanusGraph vs. Microsoft Azure Data Explorer vs. MonetDB vs. Sphinx

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenJanusGraph infosuccessor of Titan  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMonetDB  Xaus Vergleich ausschliessenSphinx  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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully managed big data interactive analytics platformEin relationales Datenbankmanagementsystem mit spaltenweiser Abspeicherung der DatenOpen Source Suchmaschine zum Suchen in Daten aus verschiedenen Quellen, u.a. relationalen Datenbanken
Primäres DatenbankmodellRelational DBMSGraph DBMSRelational DBMS infocolumn orientedRelational DBMSSuchmaschine
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
Spatial DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte16,34
Rang#38  Overall
#23  Relational DBMS
Punkte1,94
Rang#129  Overall
#12  Graph DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1,72
Rang#145  Overall
#67  Relational DBMS
Punkte5,98
Rang#56  Overall
#5  Suchmaschinen
Websiteclickhouse.comjanusgraph.orgazure.microsoft.com/­services/­data-explorerwww.monetdb.orgsphinxsearch.com
Technische Dokumentationclickhouse.com/­docsdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­data-explorerwww.monetdb.org/­Documentationsphinxsearch.com/­docs
EntwicklerClickhouse Inc.Linux Foundation; originally developed as Titan by AureliusMicrosoftMonetDB BVSphinx Technologies Inc.
Erscheinungsjahr20162017201920042001
Aktuelle Versionv24.4.1.2088-stable, Mai 20240.6.3, Februar 2023cloud service with continuous releasesDec2023 (11.49), Dezember 20233.5.1, Februar 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0kommerziellOpen Source infoMozilla Public License 2.0Open Source infoGPL Version 2, kommerzielle Lizenz erhältlich
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
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.
  • 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.
ImplementierungsspracheC++JavaCC++
Server BetriebssystemeFreeBSD
Linux
macOS
Linux
OS X
Unix
Windows
gehostetFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jaja
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-typesjanein
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinja
Sekundärindizesyesjaall fields are automatically indexedjaja infoFull-Text Index auf allen Suchfeldern
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinKusto Query Language (KQL), SQL subsetja infoSQL 2003 mit einigen ErweiterungenSQL-like query language (SphinxQL)
APIs und andere ZugriffskonzeptegRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietäres Protokoll
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
Clojure
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infoinoffizielle Client Library
Java
Perl infoinoffizielle Client Library
PHP
Python
Ruby infoinoffizielle Client Library
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Ryes, in SQL, C, Rnein
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyjanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkey based and customja infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.jaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.keine infoSource-replica replication available in experimental statuskeine
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infovia Faunus, a graph analytics engineSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoRelationships in graphsneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastjajaja infoDer Originalinhalt von Feldern wird nicht im Sphinx-Index gespeichert.
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjanein
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 Authentification und Sicherheit via Rexster Graph ServerAzure Active Directory AuthenticationBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-Standardnein

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Weitere Ressourcen
ClickHouseJanusGraph infosuccessor of TitanMicrosoft Azure Data ExplorerMonetDBSphinx
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