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

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

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenJanusGraph infosuccessor of Titan  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenSphinx  Xaus Vergleich ausschliessenWeaviate  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 platformOpen Source Suchmaschine zum Suchen in Daten aus verschiedenen Quellen, u.a. relationalen DatenbankenAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMSGraph DBMSRelational DBMS infocolumn orientedSuchmaschineVektor 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
Punkte1,94
Rang#129  Overall
#12  Graph DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte5,98
Rang#56  Overall
#5  Suchmaschinen
Punkte1,73
Rang#143  Overall
#5  Vektor DBMS
Websiteclickhouse.comjanusgraph.orgazure.microsoft.com/­services/­data-explorersphinxsearch.comgithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationclickhouse.com/­docsdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­data-explorersphinxsearch.com/­docsweaviate.io/­developers/­weaviate
EntwicklerClickhouse Inc.Linux Foundation; originally developed as Titan by AureliusMicrosoftSphinx Technologies Inc.Weaviate B.V.
Erscheinungsjahr20162017201920012019
Aktuelle Versionv24.4.1.2088-stable, Mai 20240.6.3, Februar 2023cloud service with continuous releases3.5.1, Februar 20231.19, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0kommerziellOpen Source infoGPL Version 2, kommerzielle Lizenz erhältlichOpen Source infocommercial license available with Weaviate Enterprise
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.
  • 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.
ImplementierungsspracheC++JavaC++Go
Server BetriebssystemeFreeBSD
Linux
macOS
Linux
OS X
Unix
Windows
gehostetFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jayes, maps to GraphQL interface
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-typesneinja infostring, int, float, geo point, date, cross reference, fuzzy references
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 infoFull-Text Index auf allen Suchfeldernja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)neinKusto Query Language (KQL), SQL subsetSQL-like query language (SphinxQL)GraphQL is used as query language
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
Proprietäres ProtokollGraphQL query language
RESTful HTTP/JSON API
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++ infoinoffizielle Client Library
Java
Perl infoinoffizielle Client Library
PHP
Python
Ruby infoinoffizielle Client Library
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresjajaYes, possible languages: KQL, Python, Rneinnein
Triggersneinjaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
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 infoAufteilung der Daten erfolgt manuell, Suchabfragen auf verteilten Index werden unterstützt.Sharding
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.keineja
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
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoRelationships in graphsneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastjaja infoDer Originalinhalt von Feldern wird nicht im Sphinx-Index gespeichert.ja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja
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 AuthenticationneinAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseJanusGraph infosuccessor of TitanMicrosoft Azure Data ExplorerSphinxWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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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
ClickHouseJanusGraph infosuccessor of TitanMicrosoft Azure Data ExplorerSphinxWeaviate
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