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DBMS > Grakn vs. Graph Engine vs. GraphDB vs. Graphite

System Properties Comparison Grakn vs. Graph Engine vs. GraphDB vs. Graphite

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGraphite  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEnterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Graph DBMS
Key-value store
Graph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#199  Overall
#16  Graph DBMS
#97  Relational DBMS
Score0.58
Rank#202  Overall
#17  Graph DBMS
#35  Key-value stores
Score1.25
Rank#140  Overall
#9  Graph DBMS
#5  RDF stores
Score3.63
Rank#83  Overall
#4  Time Series DBMS
Websitegrakn.aiwww.graphengine.iographdb.ontotext.comgithub.com/­graphite-project/­graphite-web
Technical documentationdev.grakn.ai/­docswww.graphengine.io/­docs/­manualgraphdb.ontotext.com/­documentationgraphite.readthedocs.io
DeveloperGrakn LabsMicrosoftOntotextChris Davis
Initial release2016201020002006
Current release1.7.2, June 20208.8, January 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMIT Licensecommercial infolimited edition freeOpen Source infoApache 2.0
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

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Implementation languageJava.NET and CJavaPython
Server operating systemsLinux
OS X
Windows
.NETAll OS with a Java VM
Linux
OS X
Windows
Linux
Unix
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.nononono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLnonoSPARQL is used as query languageno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
RESTful HTTP APIGeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
Sockets
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C#
C++
F#
Visual Basic
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesJava Server Pluginno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandrahorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)none
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolocking
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyesno
More information provided by the system vendor
GraknGraph Engine infoformer name: TrinityGraphDB infoformer name: OWLIMGraphite
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
GraphDB Enterprise is a high-performance semantic repository created by Ontotext....
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
GraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Metadata 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 modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
GraphDB-Free is free to use. SE and Enterprise are licensed per CPU-Core used. Perpetual...
» more
News

Comparing Graql to SQL — Part 2/2
18 April 2020

Comparing Graql to SQL — Part 1/2
18 April 2020

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

On the Hunt for Patterns: from Hippocrates to Supercomputers
18 May 2020

Knowledge Graph Conference 2020 Recap: Knowledge Graphs Are Getting Into the Limelight
15 May 2020

Return of the Jedi: Ontotext Platform Metamorphosis
21 April 2020

GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs
15 April 2020

Ontotext’s GraphDB Builds a Thriving Community of Expert Followers
2 April 2020

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More resources
GraknGraph Engine infoformer name: TrinityGraphDB infoformer name: OWLIMGraphite
DB-Engines blog posts

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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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