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DBMS > GRAKN.AI vs. GraphDB vs. JanusGraph vs. MarkLogic

System Properties Comparison GRAKN.AI vs. GraphDB vs. JanusGraph vs. MarkLogic

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionGrakn 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 2017Operational and transactional Enterprise NoSQL database
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
RDF store
Graph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score1.14
Rank#137  Overall
#8  Graph DBMS
#5  RDF stores
Score1.77
Rank#119  Overall
#6  Graph DBMS
Score12.36
Rank#38  Overall
#6  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Websitegrakn.aigraphdb.ontotext.comjanusgraph.orgwww.marklogic.com
Technical documentationdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationdocs.janusgraph.orgdocs.marklogic.com
DeveloperGrakn Labs LtdOntotextLinux Foundation; originally developed as Titan by AureliusMarkLogic Corp.
Initial release2016200020172001
Current release1.6.1, December 20198.8, January 20190.4.0, July 20199.0, 2017
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesschema-free infoSchema can be enforced
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.nononoyes
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLnoSPARQL is used as query languagenoyes infoSQL92
APIs and other access methodsconsole (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
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Clojure
Java
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Server Pluginyesyes infovia XQuery or JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandranoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernoyes infovia Faunus, a graph analytics engineyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infoConstraint checkingyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyesUser authentification and security via Rexster Graph ServerRole-based access control at the document and subdocument levels
More information provided by the system vendor
GRAKN.AIGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanMarkLogic
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

A Graphful of Investment Opportunities
10 January 2020

Ontotext’s Most Popular Blog Posts for 2019
30 December 2019

A New Hope: The Rise of the Knowledge Graph
6 December 2019

The New Improved and Open GraphDB
7 November 2019

It Takes Two to Tango: Knowledge Graphs and Text Analysis
5 November 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GRAKN.AIGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanMarkLogic
Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Designing Semantic Technology Proof-of-Concept
Online Training, 13:00 – 18:00 UTC, 12 December 2019 (finished)

Ontotext Platform – the Fast Track from an RDF Model to a Knowledge Graph
Online Training, 4pm GMT, 17 December 2019 (finished)

Recent citations in the news

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

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

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

provided by Google News

It's just semantics: Bulgarian software dev Ontotext squeezes out GraphDB 9.1
15 January 2020, The Register

GraphDB 9.1 - the Database to Support High-quality Knowledge Graphs
13 January 2020, Yahoo Finance

GraphDB Improves the Knowledge Graph Experience in Latest Update
12 January 2020, Database Trends and Applications

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

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

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

AWS IAM, Amazon Neptune RDF, Microsoft Azure Cosmos DB, and Neo4j 3.5 Support Enhances Data Access and Enterprise Security
9 May 2019, PR Web

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

provided by Google News

Multi-Model Databases: The Swiss Army Knife of Data Architecture
15 January 2020, Formtek Blog

MarkLogic Named a Finalist in SC Magazine Trust Awards 2020
5 December 2019, Business Wire

Schiphol Airport Selects MarkLogic for Operational Flight Database
24 September 2019, Business Wire

Enterprise Database Management System Market Research Methodology and Technological advancements forecast 2019 to 2025 – Dagoretti News
18 January 2020, Dagoretti News

MarkLogic developers achieve boosted speed and agility with the Red Hat Universal Base Image for Containers
22 October 2019, SDTimes.com

provided by Google News

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