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DBMS > ClickHouse vs. GraphDB vs. Kinetica vs. SAP HANA vs. Vertica

Vergleich der Systemeigenschaften ClickHouse vs. GraphDB vs. Kinetica vs. SAP HANA vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameClickHouse  Xaus Vergleich ausschliessenGraphDB infoUrsprünglicher Name: OWLIM  Xaus Vergleich ausschliessenKinetica  Xaus Vergleich ausschliessenSAP HANA  Xaus Vergleich ausschliessenVertica infoVertica Analytics Platform  Xaus Vergleich ausschliessen
KurzbeschreibungColumn-oriented Relational DBMS powering YandexEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportGPU-accelerated database for real-time analysis of large and streaming datasetsIn-memory DBMS. Verfügbar als appliance oder als cloud-serviceColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primäres DatenbankmodellRelational DBMSGraph DBMS
RDF Store
Relational DBMSRelational DBMSRelational DBMS
Sekundäre DatenbankmodelleDocument Store
Graph DBMS infowith SAP Hana, Enterprise Edition
Document Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,31
Rang#65  Overall
#34  Relational DBMS
Punkte1,32
Rang#144  Overall
#10  Graph DBMS
#5  RDF Stores
Punkte0,67
Rang#196  Overall
#94  Relational DBMS
Punkte51,34
Rang#20  Overall
#13  Relational DBMS
Punkte20,95
Rang#31  Overall
#18  Relational DBMS
Websiteclickhouse.techgraphdb.ontotext.comwww.kinetica.comwww.sap.com/­products/­hana.htmlwww.vertica.com
Technische Dokumentationclickhouse.tech/­docsgraphdb.ontotext.com/­documentationwww.kinetica.com/­docshelp.sap.com/­hanawww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
EntwicklerYandex LLCOntotextKineticaSAPVertica / Micro Focus infoprior to that Hewlett Packard
Erscheinungsjahr20162000201220102005
Aktuelle Versionv20.3.8.53, April 20208.8, Jänner 20196.02.0 SPS04, April 2019Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziell infoLimitierte Edition gratiskommerziellkommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinnein infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.neinnein infoauch als Cloud-Service verfügbarnein infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++JavaC, C++
Server BetriebssystemeFreeBSD
Linux
macOS
Alle Betriebssysteme mit einer Java VM
Linux
OS X
Windows
LinuxAppliance oder cloud-serviceLinux
Datenschemajaschema-free and OWL/RDFS-schema supportjajaja infoUnstrukturierte Daten können mit Flex-tables verwaltet werden
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinja
Sekundärindizesneinyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesjajanein infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLClose to ANSI SQLSPARQL is used as query languageSQL-like DML and DDL statementsjaja infonearly full SQL99 without support for indexes and triggers
APIs und andere ZugriffskonzepteHTTP REST
JDBC
ODBC
Proprietäres Protokoll
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Propriätäres Protokoll
RESTful HTTP 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
Scala info3rd party library
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Perl
Python
R
Server-seitige Scripts infoStored ProceduresneinJava Server Pluginbenutzerdefinierte FunktionenSQLScript, Rja
Triggersneinneinja infotriggers when inserted values for one or more columns fall within a specified rangejanein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenkeineShardingjaSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMaster-Master ReplikationMaster-Slave ReplikationjaMaster-Master Replikation infoCluster level and Object level replication
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinja infomittel Vertica Connector for Hadoop
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infoConstraint checkingjajaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja infoGPU vRAM or System RAMja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and rolesjaZugriffsrechte für Benutzer und Rollen auf Tabellenebenejafine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
ClickHouseGraphDB infoUrsprünglicher Name: OWLIMKineticaSAP HANAVertica infoVertica Analytics Platform
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» mehr
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» mehr
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» mehr
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» mehr
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» mehr
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» mehr
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» mehr
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» mehr
Cost-based models and subscription-based models are available
» mehr
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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.

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Weitere Ressourcen
ClickHouseGraphDB infoUrsprünglicher Name: OWLIMKineticaSAP HANAVertica infoVertica Analytics Platform
Konferenzen und Veranstaltungen

GraphDB Fundamentals: Adding Meaning to Your Data
Webinar, 4pm GMT, 8am PST, 5pm CET, 25. März 2020 (abgeschlossen)

GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
Webinar, 5 pm CEST / 12 pm EDT / 6 pm EEST, 14. Mai 2020 (abgeschlossen)

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