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DBMS > GRAKN.AI vs. GraphDB vs. IBM Db2 vs. JanusGraph

System Properties Comparison GRAKN.AI vs. GraphDB vs. IBM Db2 vs. JanusGraph

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonJanusGraph infosuccessor of Titan  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 supportCommon in IBM host environments, 2 different versions for host and Windows/LinuxA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
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
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBGraph DBMS
Secondary database modelsDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
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
Score168.70
Rank#6  Overall
#5  Relational DBMS
Score1.77
Rank#119  Overall
#6  Graph DBMS
Websitegrakn.aigraphdb.ontotext.comwww.ibm.com/­analytics/­db2janusgraph.org
Technical documentationdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationwww.ibm.com/­support/­knowledgecenter/­SSEPGGdocs.janusgraph.org
DeveloperGrakn Labs LtdOntotextIBMLinux Foundation; originally developed as Titan by Aurelius
Initial release201620001983 infohost version2017
Current release1.6.2, January 20208.8, January 201912.1, October 20160.4.0, July 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freecommercial infofree version is availableOpen Source infoApache 2.0
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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes
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 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 languageyesno
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
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresnoJava Server Pluginyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandranoneSharding infoonly with Windows/Unix/Linux Versionyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationyes infowith separate tools (MQ, InfoSphere)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernonoyes infovia Faunus, a graph analytics engine
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
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infoConstraint checkingyesyes 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.no
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Server
More information provided by the system vendor
GRAKN.AIGraphDB infoformer name: OWLIMIBM Db2 infoformerly named DB2 or IBM Database 2JanusGraph 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

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

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 partiesGeneral SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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More resources
GRAKN.AIGraphDB infoformer name: OWLIMIBM Db2 infoformerly named DB2 or IBM Database 2JanusGraph infosuccessor of Titan
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, PRNewswire

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 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

provided by Google News

Where Does SAP On IBM i Go From Here?
15 January 2020, IT Jungle

Linux Bonus Pack Makes SAP Hana Movers Happy
14 January 2020, E3zine.com

Splice Machine 3.0 Offers New and Improved SQL Updates
15 January 2020, Database Trends and Applications

IBM Injects 'Data Science' AI Into Its Db2 Database
4 June 2019, Forbes

SD Times news digest: Quantum Machines joins IBM Q network, Next.js 9.2, Splice Machine 3.0 now available
16 January 2020, SDTimes.com

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

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