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DBMS > ClickHouse vs. GraphDB vs. Kinetica

System Properties Comparison ClickHouse vs. GraphDB vs. Kinetica

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  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 datasets
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.82
Rank#53  Overall
#31  Relational DBMS
Score2.05
Rank#125  Overall
#8  Graph DBMS
#5  RDF stores
Score0.72
Rank#201  Overall
#99  Relational DBMS
Websiteclickhouse.techgraphdb.ontotext.comwww.kinetica.com
Technical documentationclickhouse.tech/­docsgraphdb.ontotext.com/­documentationwww.kinetica.com/­docs
DeveloperYandex LLCOntotextKinetica
Initial release201620002012
Current releasev20.11.2.1-stable, November 20208.8, January 20196.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC, C++
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLClose to ANSI SQLSPARQL is used as query languageSQL-like DML and DDL statements
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
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
Server-side scripts infoStored proceduresnoJava Server Pluginuser defined functions
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
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 configuration
Foreign keys infoReferential integritynoyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesyesAccess rights for users and roles on table level
More information provided by the system vendor
ClickHouseGraphDB infoformer name: OWLIMKinetica
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

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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: OWLIMKinetica
Conferences and events

Hands-on with the JDBC Driver in GraphDB: Bridging relational queries to the graph world
Webinar, 8:00 AM PDT / 11:00 AM EDT / 5:00 PM CEST, 17 September 2020 (finished)

From Strings to Things with the GraphDB 9.4 Mapping UI
Webinar, 5pm CEST / 11am EDT / 8am PDT, 6 October 2020 (finished)

Knowledge Graphs for Enterprise Data Management
Webinar, 4pm GMT, 8am PST, 5pm CET, 5 November 2020 (finished)

Recent citations in the news

Altinity grabs $4M seed to build cloud version of ClickHouse open-source data warehouse
1 October 2020, TechCrunch

insideBIGDATA Latest News – 11/10/2020
10 November 2020, insideBIGDATA

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

Machine Learning Capabilities Come to the Majority of Open Source Databases with MindsDB AI-Tables
20 October 2020, PR Web

provided by Google News

Johnson Controls Selects Ontotext's GraphDB for the New Version of Metasys Building Automation System
18 November 2020, PRNewswire

Ontotext and Synaptica join forces with a shared product roadmap to speed up the development of Enterprise Knowledge Graphs.
16 November 2020, PRNewswire

Ontotext Platform 3.3 Streamlines the Building of Knowledge Graph Lenses and GraphQL Interfaces
23 November 2020, EnterpriseTalk

Ontotext GraphDB 9.4 Enables SQL Access to Knowledge Graphs and Visual Mapping of Tabular Data to RDF
11 September 2020, PRNewswire

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

provided by Google News

GPU Database Market Competitive Analysis And Forecast (2020 – 2025)|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox
1 December 2020, The Haitian-Caribbean News Network

Global GPU Database Market Expected to Reach Highest CAGR By 2026: Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt etc.
29 November 2020, The Haitian-Caribbean News Network

GPU Database Market Overview with Qualitative analysis, Competitive landscape & Forecast by 2027
1 December 2020, Murphy's Hockey Law

GPU Database Market Growing with new opportunities and developments by 2025|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
30 November 2020, Canaan Mountain Herald

Global GPU Database Market Share and Growth Analysis During 2020-2025 By Top Manufacturers Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt, BlazingDB Etc.
25 November 2020, Murphy's Hockey Law

provided by Google News

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