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DBMS > Citus vs. Grakn vs. GraphDB vs. JanusGraph

System Properties Comparison Citus vs. Grakn vs. GraphDB vs. JanusGraph

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGrakn  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Enterprise RDF and graph database with efficient reasoning, cluster and external index synchronization supportA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSGraph 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
RDF store
Graph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.09
Rank#146  Overall
#71  Relational DBMS
Score0.59
Rank#199  Overall
#16  Graph DBMS
#97  Relational DBMS
Score1.25
Rank#140  Overall
#9  Graph DBMS
#5  RDF stores
Score2.01
Rank#115  Overall
#7  Graph DBMS
Websitewww.citusdata.comgrakn.aigraphdb.ontotext.comjanusgraph.org
Technical documentationdocs.citusdata.comdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationdocs.janusgraph.org
DeveloperGrakn LabsOntotextLinux Foundation; originally developed as Titan by Aurelius
Initial release2010201620002017
Current release8.1, December 20181.7.2, June 20208.8, January 20190.5.0, March 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoGPL Version 3, commercial licenses availablecommercial 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 languageCJavaJavaJava
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSPARQL is used as query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
console (shell)
gRPC protocol
Workbase (visualisation software)
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noJava Server Pluginyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Cassandranoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensionsMaster-master replication infoby using CassandraMaster-master replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernoyes infovia Faunus, a graph analytics engine
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)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featureyes infoConstraint checkingyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progressyesUser authentification and security via Rexster Graph Server
More information provided by the system vendor
CitusGraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of Titan
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
CitusGraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of Titan
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)

Recent citations in the news

Craig Kerstiens Joins Crunchy Data to Lead Public Cloud Initiative
22 May 2020, WFMZ Allentown

Microsoft acquires Citus Data for its open source PostgreSQL tool
25 January 2019, VentureBeat

Citus Data Announces Citus Cloud Database Support for HIPAA and SOC 2 Type 2 Compliance
13 November 2018, Business Wire

PlanetScale scales out MySQL
4 May 2020, ZDNet

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

provided by Google News

World Coronavirus Dispatch: Big Data in the Insurance Industry: 2018 – 2030 Analysis, Segments, Growth and Value Chain
3 June 2020, Cole of Duty

Get Started With GRAKN.AI
10 March 2017, DZone News

After COVID-19: Demand of Big Data in the Insurance Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts
3 June 2020, 3rd Watch News

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Global Trade Impact of the Coronavirus on Big Data in the Automotive Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts
14 May 2020, Cole of Duty

provided by Google News

Ontotext releases new version of GraphDB
15 May 2020, KMWorld Magazine

Ontotext's GraphDB 9.2 Supports RDF* to Match the Expressivity of Property Graphs
30 April 2020, PRNewswire

Ontotext Platform 3.0 for Enterprise Knowledge Graphs Released
16 December 2019, PRNewswire

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

Ontotext GraphDB Named Innovator in Bloor's Graph Database Market Research
11 February 2019, PRNewswire

provided by Google News

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

Comcast, FireEye, Numberly Among Winners of 2019 Scylla User Awards
6 November 2019, GlobeNewswire

What & why: Graph machine learning in distributed systems
16 March 2020, Ericsson

The year of the graph: Getting graphic, going native, reshaping the landscape
8 January 2018, ZDNet

From graph to the world: pioneering a database virtual machine
22 January 2018, ZDNet

provided by Google News

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