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DBMS > Amazon Neptune vs. Grakn vs. GraphDB vs. Graphite vs. JanusGraph

System Properties Comparison Amazon Neptune vs. Grakn vs. GraphDB vs. Graphite vs. JanusGraph

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonGrakn  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGraphite  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudGrakn 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 supportData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelGraph DBMS
RDF store
Graph 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
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#119  Overall
#6  Graph DBMS
#4  RDF stores
Score0.42
Rank#221  Overall
#17  Graph DBMS
#104  Relational DBMS
Score1.16
Rank#139  Overall
#8  Graph DBMS
#5  RDF stores
Score3.43
Rank#82  Overall
#4  Time Series DBMS
Score1.78
Rank#120  Overall
#7  Graph DBMS
Websiteaws.amazon.com/­neptunegrakn.aigraphdb.ontotext.comgithub.com/­graphite-project/­graphite-webjanusgraph.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdev.grakn.ai/­docsgraphdb.ontotext.com/­documentationgraphite.readthedocs.iodocs.janusgraph.org
DeveloperAmazonGrakn LabsOntotextChris DavisLinux Foundation; originally developed as Titan by Aurelius
Initial release20172016200020062017
Current release1.6.2, January 20208.8, January 20190.5.0, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availablecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono 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 languageJavaJavaPythonJava
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Unix
Linux
OS X
Unix
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.nonononono
Secondary indexesnoyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesnoyes
SQL infoSupport of SQLnonoSPARQL is used as query languagenono
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
console (shell)
gRPC protocol
Workbase (visualisation software)
GeoSPARQL
Java API
RDF4J API
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP API
Sockets
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoJava Server Pluginnoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Cassandranonenoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasMaster-master replication infoby using CassandraMaster-master replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernonoyes 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)noneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infosubstituted by the relationship featureyes infoConstraint checkingnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes 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 controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes infoat REST API level; other APIs in progressyesnoUser authentification and security via Rexster Graph Server
More information provided by the system vendor
Amazon NeptuneGraknGraphDB infoformer name: OWLIMGraphiteJanusGraph 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
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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
Amazon NeptuneGraknGraphDB infoformer name: OWLIMGraphiteJanusGraph infosuccessor of Titan
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