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DBMS > Grakn vs. GraphDB vs. JanusGraph vs. Oracle vs. RRDtool

System Properties Comparison Grakn vs. GraphDB vs. JanusGraph vs. Oracle vs. RRDtool

Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonOracle  Xexclude from comparisonRRDtool  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 2017Widely used RDBMSIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
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 DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#221  Overall
#17  Graph DBMS
#104  Relational DBMS
Score1.16
Rank#139  Overall
#8  Graph DBMS
#5  RDF stores
Score1.78
Rank#120  Overall
#7  Graph DBMS
Score1345.42
Rank#1  Overall
#1  Relational DBMS
Score2.61
Rank#96  Overall
#5  Time Series DBMS
Websitegrakn.aigraphdb.ontotext.comjanusgraph.orgwww.oracle.com/­databaseoss.oetiker.ch/­rrdtool
Technical documentationdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationdocs.janusgraph.orgdocs.oracle.com/­en/­databaseoss.oetiker.ch/­rrdtool/­doc
DeveloperGrakn LabsOntotextLinux Foundation; originally developed as Titan by AureliusOracleTobias Oetiker
Initial release20162000201719801999
Current release1.6.2, January 20208.8, January 20190.5.0, March 202019c, February 20191.7.2, May 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenono infoNamed S4, Ontotext provides a semantic graph database based on GraphDB in the cloud.nonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC and C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
HP-UX
Linux
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyesyesNumeric 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.nononoyesno infoExporting into and restoring from XML files possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesno
SQL infoSupport of SQLnoSPARQL is used as query languagenoyes infowith proprietary extensionsno
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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
in-process shared library
Pipes
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++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnoJava Server PluginyesPL/SQL infoalso stored procedures in Java possibleno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandranoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning infowith the optional Oracle Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationyesMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernoyes infovia Faunus, a graph analytics engineno infocan be realized in PL/SQLno
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 Consistencynone
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infoConstraint checkingyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoisolation level can be parameterizedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardno
More information provided by the system vendor
GraknGraphDB infoformer name: OWLIMJanusGraph infosuccessor of TitanOracleRRDtool
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
Oracle Database (commonly referred to as Oracle RDBMS or simply as Oracle) is a multi-model...
» 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
Oracle Database Cloud Services Customers can choose from a wide range of database...
» more
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