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DBMS > ClickHouse vs. GraphDB vs. InterSystems Caché vs. SAP HANA vs. TinkerGraph

System Properties Comparison ClickHouse vs. GraphDB vs. InterSystems Caché vs. SAP HANA vs. TinkerGraph

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSAP HANA  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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-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 multi-model DBMS and application serverIn-memory, column based data store. Available as appliance or cloud serviceA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsTime Series DBMSDocument storeDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.20
Rank#37  Overall
#23  Relational DBMS
Score3.10
Rank#100  Overall
#7  Graph DBMS
#4  RDF stores
Score45.84
Rank#22  Overall
#16  Relational DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websiteclickhouse.comwww.ontotext.comwww.intersystems.com/­products/­cachewww.sap.com/­products/­hana.htmltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationclickhouse.com/­docsgraphdb.ontotext.com/­documentationdocs.intersystems.comhelp.sap.com/­hana
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperClickhouse Inc.OntotextInterSystemsSAP
Initial release20162000199720102009
Current releasev24.3.2.23-lts, April 202410.4, October 20232018.1.4, May 20202.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based serviceno
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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
Implementation languageC++JavaJava
Server operating systemsFreeBSD
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Appliance or cloud-service
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesdepending on used data modelyesschema-free
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.nonoyesnono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)stored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesyesno
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
TinkerPop 3
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
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresyeswell-defined plugin interfaces; JavaScript server-side extensibilityyesSQLScript, Rno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodeskey based and customnonenoneyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replicationSource-replica replicationyesnone
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 Consistencynone
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
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.Default 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 for users, groups and rolesyesno
More information provided by the system vendor
ClickHouseGraphDB infoformer name: OWLIMInterSystems CachéSAP HANATinkerGraph
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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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.

Related products and services
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
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