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

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

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonEsgynDB  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonjBASE  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A 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 modelsTime Series DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.31
Rank#37  Overall
#23  Relational DBMS
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score2.91
Rank#106  Overall
#8  Graph DBMS
#4  RDF stores
Score1.68
Rank#151  Overall
#3  Multivalue DBMS
Score45.49
Rank#22  Overall
#16  Relational DBMS
Websiteclickhouse.comwww.esgyn.cnwww.ontotext.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.sap.com/­products/­hana.html
Technical documentationclickhouse.com/­docsgraphdb.ontotext.com/­documentationdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9help.sap.com/­hana
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperClickhouse Inc.EsgynOntotextRocket Software (formerly Zumasys)SAP
Initial release20162015200019912010
Current releasev23.12.1.1368-stable, December 202310.4, October 20235.72.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono 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.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Implementation languageC++C++, JavaJava
Server operating systemsFreeBSD
Linux
macOS
LinuxAll OS with a Java VM
Linux
OS X
Windows
AIX
Linux
Windows
Appliance or cloud-service
Data schemeyesyesschema-free and OWL/RDFS-schema support; RDF shapesschema-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 indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCEmbedded SQL for jBASE in BASICyes
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
ADO.NET
JDBC
ODBC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based 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
Rust
Scala info3rd party library
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyesJava Stored Procedureswell-defined plugin interfaces; JavaScript server-side extensibilityyesSQLScript, R
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodeskey based and customShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replication between multi datacentersMulti-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
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 integritynoyesyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.fine grained access rights according to SQL-standardDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Access rights can be defined down to the item levelyes
More information provided by the system vendor
ClickHouseEsgynDBGraphDB infoformer name: OWLIMjBASESAP HANA
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» 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 data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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Related products and services
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
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Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
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