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DBMS > ClickHouse vs. GraphDB vs. OmniSci vs. SAP HANA

System Properties Comparison ClickHouse vs. GraphDB vs. OmniSci vs. SAP HANA

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  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 supportA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
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
Score1.98
Rank#122  Overall
#59  Relational DBMS
Score51.34
Rank#20  Overall
#13  Relational DBMS
Websiteclickhouse.techgraphdb.ontotext.comwww.omnisci.comwww.sap.com/­products/­hana.html
Technical documentationclickhouse.tech/­docsgraphdb.ontotext.com/­documentationdocs.omnisci.com/­latesthelp.sap.com/­hana
DeveloperYandex LLCOntotextMapD Technologies, Inc.SAP
Initial release2016200020162010
Current releasev20.3.8.53, April 20208.8, January 2019V42.0 SPS04, April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freeOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono 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.
Implementation languageC++JavaC++ and CUDA
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
LinuxAppliance or cloud-service
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes
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 indexesnoyes
SQL infoSupport of SQLClose to ANSI SQLSPARQL is used as query languageyesyes
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
Thrift
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
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoJava Server PluginnoSQLScript, R
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replicationyes
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesyesfine grained access rights according to SQL-standardyes
More information provided by the system vendor
ClickHouseGraphDB infoformer name: OWLIMOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SAP HANA
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

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Star Wars: Knowledge Graph Federation
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18 June 2020

If Curiosity Cabinets Were Knowledge Graphs
4 June 2020

On the Hunt for Patterns: from Hippocrates to Supercomputers
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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: OWLIMOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SAP HANA
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 GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 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

Global GPU Database Market Revenue, Growth Rate and Competitors Analysis 2020: Nvidia, Kinetica DB, OmniSci, Neo4j, Brytlyt, BlazingDB Etc.
13 July 2020, Jewish Life 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

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

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

provided by Google News

SAP HANA’s 10th anniversary is about cloud convergence
18 June 2020, ZDNet

Outlier's Automated Insights and Integration with SAP HANA Add Context Around Critical Changes in Supply and Demand Changes
25 June 2020, GlobeNewswire

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3 July 2020, Inside SAP Magazine

Successfully Managing The Digital Transformation Journey
1 July 2020, E3zine.com

Why Are SAP Customers Worried About S/4 Hana?
17 June 2020, E3zine.com

provided by Google News

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