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DBMS > ClickHouse vs. Firebird vs. GraphDB vs. Kinetica

System Properties Comparison ClickHouse vs. Firebird vs. GraphDB vs. Kinetica

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonFirebird  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexFirebird is an open source RDBMS forked from Borland's InterBaseEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.31
Rank#65  Overall
#34  Relational DBMS
Score19.53
Rank#32  Overall
#19  Relational DBMS
Score1.32
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Score0.67
Rank#196  Overall
#94  Relational DBMS
Websiteclickhouse.techwww.firebirdsql.orggraphdb.ontotext.comwww.kinetica.com
Technical documentationclickhouse.tech/­docswww.firebirdsql.org/­en/­reference-manualsgraphdb.ontotext.com/­documentationwww.kinetica.com/­docs
DeveloperYandex LLCFirebird FoundationOntotextKinetica
Initial release20162000 infoAs fork of Borland's InterBase20002012
Current releasev20.3.8.53, April 20203.0.5, 20208.8, January 20196.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoInitial Developer's Public Licensecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++JavaC, C++
Server operating systemsFreeBSD
Linux
macOS
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
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.nonono
Secondary indexesnoyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLClose to ANSI SQLyesSPARQL is used as query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
JDBC
ODBC
RESTful 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
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPSQLJava Server Pluginuser defined functions
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoavailable via 3rd party productsMaster-master replicationMaster-slave replication
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 Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptyesAccess rights for users and roles on table level
More information provided by the system vendor
ClickHouseFirebirdGraphDB infoformer name: OWLIMKinetica
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.

Related products and services

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More resources
ClickHouseFirebirdGraphDB infoformer name: OWLIMKinetica
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)

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