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DBMS > ClickHouse vs. GraphDB vs. jBASE vs. SAP HANA vs. Yanza

System Properties Comparison ClickHouse vs. GraphDB vs. jBASE vs. SAP HANA vs. Yanza

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonjBASE  Xexclude from comparisonSAP HANA  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA robust multi-value DBMS comprising development tools and middlewareIn-memory, column based data store. Available as appliance or cloud serviceTime Series DBMS for IoT Applications
Primary database modelRelational DBMSGraph DBMS
RDF store
Multivalue DBMSRelational DBMSTime Series 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
Score6.60
Rank#58  Overall
#32  Relational DBMS
Score1.42
Rank#145  Overall
#11  Graph DBMS
#6  RDF stores
Score2.23
Rank#121  Overall
#3  Multivalue DBMS
Score52.86
Rank#19  Overall
#13  Relational DBMS
Score0.00
Rank#340  Overall
#31  Time Series DBMS
Websiteclickhouse.techgraphdb.ontotext.comwww.jbase.comwww.sap.com/­products/­hana.htmlyanza.com
Technical documentationclickhouse.tech/­docsgraphdb.ontotext.com/­documentationdocs.jbase.comhelp.sap.com/­hana
DeveloperYandex LLCOntotextZumasysSAPYanza
Initial release20162000199120102015
Current releasev20.3.17.173, August 20208.8, January 20195.72.0 SPS04 (April 5, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialcommercialcommercial infofree version available
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 serviceno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
AIX
Linux
Windows
Appliance or cloud-serviceWindows
Data schemeyesschema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyesno
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.nonoyesnono
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 languageEmbedded SQL for jBASE in BASICyesno
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
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
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
.Net
Basic
Jabbascript
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoJava Server PluginyesSQLScript, Rno
Triggersnonoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesnone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 rolesyesAccess rights can be defined down to the item levelyesno
More information provided by the system vendor
ClickHouseGraphDB infoformer name: OWLIMjBASESAP HANAYanza
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: OWLIMjBASESAP HANAYanza
Conferences and events

Reasoning with Big Knowledge Graphs: Choices, Pitfalls and Proven Recipes
Webinar, 8:00 AM PST / 11:00 AM EST / 5:00 PM CEST, 30 July 2020 (finished)

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)

Recent citations in the news

How Snowflake raised $3bn in a record software IPO
15 September 2020, The Economist

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

Snowflake May Melt Before Your Eyes
18 September 2020, Seeking Alpha

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

provided by Google News

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

Ontotext GraphDB Named Champion in Bloor's Graph Database Market Update
27 July 2020, PRNewswire

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

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

provided by Google News

Zumasys Acquires jBASE Database
5 January 2015, Business Wire

Zumasys, Inc
5 March 2019, International Spectrum Magazine

provided by Google News

Acclimation partners with Gekkobrain to accelerate SAP HANA adoption in enterprises
7 September 2020, IT Brief Australia

HPE’s Impressive 80% Q3 GreenLake Growth Highlights Implications Of SAP HANA As-A-Service Deal
30 August 2020, Forbes

E-3 Interview With SAP CTO Jürgen Müller
11 September 2020, e3zine.com

ThoughtSpot Embrace opens SAP HANA to business users
31 August 2020, TechTarget

Reducing downtime for SAP HANA | IT PRO
27 August 2020, IT PRO

provided by Google News

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