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DBMS > Amazon Redshift vs. ClickHouse vs. GraphDB vs. jBASE vs. SAP HANA

System Properties Comparison Amazon Redshift vs. ClickHouse vs. GraphDB vs. jBASE vs. SAP HANA

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonjBASE  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsColumn-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 service
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Multivalue 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
Score23.01
Rank#30  Overall
#17  Relational DBMS
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
Websiteaws.amazon.com/­redshiftclickhouse.techgraphdb.ontotext.comwww.jbase.comwww.sap.com/­products/­hana.html
Technical documentationdocs.aws.amazon.com/­redshiftclickhouse.tech/­docsgraphdb.ontotext.com/­documentationdocs.jbase.comhelp.sap.com/­hana
DeveloperAmazon (based on PostgreSQL)Yandex LLCOntotextZumasysSAP
Initial release20122016200019912010
Current releasev20.3.17.173, August 20208.8, January 20195.72.0 SPS04 (April 5, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnono 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 languageCC++Java
Server operating systemshostedFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
AIX
Linux
Windows
Appliance or cloud-service
Data schemeyesyesschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesoptionalyes
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 indexesrestrictednoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardClose to ANSI SQLSPARQL is used as query languageEmbedded SQL for jBASE in BASICyes
APIs and other access methodsJDBC
ODBC
HTTP 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
Supported programming languagesAll languages supporting JDBC/ODBCC# 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
Server-side scripts infoStored proceduresuser defined functions infoin PythonnoJava Server PluginyesSQLScript, R
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesyesAccess rights can be defined down to the item levelyes
More information provided by the system vendor
Amazon RedshiftClickHouseGraphDB infoformer name: OWLIMjBASESAP 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

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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
Amazon RedshiftClickHouseGraphDB infoformer name: OWLIMjBASESAP HANA
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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)

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