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DBMS > Grakn vs. JanusGraph vs. Microsoft Azure Cosmos DB

System Properties Comparison Grakn vs. JanusGraph vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameGrakn  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Globally distributed, horizontally scalable, multi-model database service
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 DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#206  Overall
#17  Graph DBMS
#99  Relational DBMS
Score2.02
Rank#121  Overall
#7  Graph DBMS
Score30.40
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitegrakn.aijanusgraph.orgazure.microsoft.com/­services/­cosmos-db
Technical documentationdev.grakn.ai/­docsdocs.janusgraph.orgdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperGrakn LabsLinux Foundation; originally developed as Titan by AureliusMicrosoft
Initial release201620172014
Current release1.8.0, June 20200.5.0, March 2020
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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.nono
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnonoSQL-like query language
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoyesJavaScript
TriggersnoyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperyes infovia Faunus, a graph analytics enginewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.no
User concepts infoAccess controlyes infoat REST API level; other APIs in progressUser authentification and security via Rexster Graph ServerAccess rights can be defined down to the item level
More information provided by the system vendor
GraknJanusGraph infosuccessor of TitanMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
News

Comparing Grakn to Semantic Web Technologies — Part 3/3
26 June 2020

Comparing Grakn to Semantic Web Technologies — Part 2/3
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Comparing Grakn to Semantic Web Technologies — Part 1/3
26 June 2020

Grakn Labs community newsletter for week of June 15 — Grakn Labs Online brings you webinars…
15 June 2020

Comparing Graql to SQL — Part 2/2
18 April 2020

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More resources
GraknJanusGraph infosuccessor of TitanMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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