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DBMS > ClickHouse vs. GraphDB vs. Kinetica vs. TinkerGraph

System Properties Comparison ClickHouse vs. GraphDB vs. Kinetica vs. TinkerGraph

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionColumn-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 datasetsA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.31
Rank#65  Overall
#34  Relational DBMS
Score1.32
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Score0.67
Rank#196  Overall
#94  Relational DBMS
Score0.15
Rank#283  Overall
#24  Graph DBMS
Websiteclickhouse.techgraphdb.ontotext.comwww.kinetica.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationclickhouse.tech/­docsgraphdb.ontotext.com/­documentationwww.kinetica.com/­docs
DeveloperYandex LLCOntotextKinetica
Initial release2016200020122009
Current releasev20.3.8.53, April 20208.8, January 20196.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC, C++Java
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononono
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesno
SQL infoSupport of SQLClose to ANSI SQLSPARQL is used as query languageSQL-like DML and DDL statementsno
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
RESTful HTTP API
TinkerPop 3
Supported programming languagesC# 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
Groovy
Java
Server-side scripts infoStored proceduresnoJava Server Pluginuser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and rolesyesAccess rights for users and roles on table levelno
More information provided by the system vendor
ClickHouseGraphDB infoformer name: OWLIMKineticaTinkerGraph
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

Boosting Cybersecurity Efficiency with Knowledge Graphs
9 July 2020

Star Wars: Knowledge Graph Federation
24 June 2020

Computer Vision Technology for Boosting Retailers’ Marketing & Product Management  
18 June 2020

If Curiosity Cabinets Were Knowledge Graphs
4 June 2020

On the Hunt for Patterns: from Hippocrates to Supercomputers
18 May 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ClickHouseGraphDB infoformer name: OWLIMKineticaTinkerGraph
Conferences and events

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

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

Recent citations in the news

From Russia with OLAP: Percona uses ClickHouse analytics
10 October 2019, ComputerWeekly.com

ClickHouse - from website clicks to ultra-fast analytics solution -
27 April 2020, Enterprise Times

Time Series Databases, the Future of Monitoring and Logging
3 December 2019, Security Boulevard

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

Data Monoliths Go Cloud-Native with Kubernetes
31 October 2019, DevOps.com

provided by Google News

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, PRNewswire

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

provided by Google News

GPU Database Market – Major Technology Giants in Buzz Again | Kinetica, Omnisci, Sqream
8 July 2020, Cole of Duty

GPU Database Market Survey Report 2020-2026: Kinetica DB, OmniSci, Neo4j
1 July 2020, NJ MMA News

Impact of Covid-19 Global GPU Database Market (2020 To 2027) | Kinetica, Omnisci, Sqream, Neo4j, Nvidia
3 July 2020, Bandera County Courier

GPU data warehouse startup SQream lands $39.4M funding round
24 June 2020, SiliconANGLE

Earth Challenge 2020 Releases Native Insect and Food Security Citizen Science Applications Built on Kinetica in Support of National Insect Week
22 June 2020, Business Wire

provided by Google News

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Save Joern — Open Source at ShiftLeft
8 May 2018, Security Boulevard

provided by Google News

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