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

System Properties Comparison ClickHouse vs. GraphDB vs. Kinetica vs. MariaDB vs. SAP HANA

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  Xexclude from comparisonMariaDB  Xexclude from comparisonSAP HANA  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 datasetsMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. With MariaDB ColumnStore a column-oriented storage engine is available too.In-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.29
Rank#69  Overall
#37  Relational DBMS
Score1.19
Rank#136  Overall
#8  Graph DBMS
#5  RDF stores
Score0.57
Rank#202  Overall
#97  Relational DBMS
Score90.09
Rank#12  Overall
#8  Relational DBMS
Score50.54
Rank#20  Overall
#13  Relational DBMS
Websiteclickhouse.techgraphdb.ontotext.comwww.kinetica.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.sap.com/­products/­hana.html
Technical documentationclickhouse.tech/­docsgraphdb.ontotext.com/­documentationwww.kinetica.com/­docsmariadb.com/­kb/­en/­libraryhelp.sap.com/­hana
DeveloperYandex LLCOntotextKineticaMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
SAP
Initial release20162000201220092010
Current releasev20.3.8.53, April 20208.8, January 20196.010.4.12, January 20202.0 SPS04, April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialOpen Source infoGPL version 2, commercial enterprise subscription availablecommercial
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nonono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • SkySQL (The Ultimate MariaDB Cloud): The first and only DBaaS to bring the full power of MariaDB Platform to the cloud, combining powerful enterprise features and world-class support with unrivaled ease of use and groundbreaking innovation.
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Implementation languageC++JavaC, C++C and C++
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
LinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Appliance or cloud-service
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes infoDynamic columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesno
Secondary indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesyes
SQL infoSupport of SQLClose to ANSI SQLSPARQL is used as query languageSQL-like DML and DDL statementsyes infowith proprietary extensionsyes
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
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
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
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJava Server Pluginuser defined functionsyes infoPL/SQL compatibility added with version 10.3SQLScript, R
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingHorizontal partitioning, sharding with Spider storage engine or Galera cluster infoPartitioning by range, list, hash, keyyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationMaster-master replication infousing MariaDB Galera Cluster
Master-slave replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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 configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infonot for in-memory storage engineyes
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 infowith MEMORY storage engineyes
User concepts infoAccess controlAccess rights for users and rolesyesAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyes
More information provided by the system vendor
ClickHouseGraphDB infoformer name: OWLIMKineticaMariaDBSAP HANA
Specific characteristicsGraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Open source database from the creators of MySQL, enhanced with enterprise tools and...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
High availability, scalability, performance beyond MySQL and other databases.
» more
Typical application scenariosMetadata enrichment and management, linked open data publishing, semantic inferencing...
» more
Web, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersBBC, Press Association, Financial Times, DK, Euromoney, The British Museum, Getty...
» more
Booking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsGraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

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Return of the Jedi: Ontotext Platform Metamorphosis
21 April 2020

GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs
15 April 2020

Ontotext’s GraphDB Builds a Thriving Community of Expert Followers
2 April 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ClickHouseGraphDB infoformer name: OWLIMKineticaMariaDBSAP HANA
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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 - Open Source Insider
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
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Data Monoliths Go Cloud-Native with Kubernetes
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23 April 2018, PR Newswire

provided by Google News

Ontotext releases new version of GraphDB
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Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, Yahoo Finance

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

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

provided by Google News

Coronavirus threat to global Good Growth Opportunities in GPU Database Market
31 May 2020, News Distinct

Global GPU Database Market Projected to Reach USD XX.XX billion by 2025- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc.
22 May 2020, Cole of Duty

COVID-19 Real-time Crisis Management Platform Coordinates Data-Driven Emergency Response
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11 May 2020, E3zine.com

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4 May 2020, ComputerWeekly.com

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