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DBMS > Dgraph vs. Grakn vs. JanusGraph

System Properties Comparison Dgraph vs. Grakn vs. JanusGraph

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGrakn  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGrakn 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 2017
Primary database modelGraph DBMSGraph 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#137  Overall
#9  Graph DBMS
Score0.76
Rank#187  Overall
#15  Graph DBMS
#94  Relational DBMS
Score2.02
Rank#124  Overall
#7  Graph DBMS
Websitedgraph.iograkn.aijanusgraph.org
Technical documentationdocs.dgraph.iodev.grakn.ai/­docsdocs.janusgraph.org
DeveloperDgraph Labs, Inc.Grakn LabsLinux Foundation; originally developed as Titan by Aurelius
Initial release201620162017
Current release1.8.0, June 20200.5.0, March 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnonono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
console (shell)
gRPC protocol
Workbase (visualisation software)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Cassandrayes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication infoby using Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeperyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featureyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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 controlno infoPlanned for future releasesyes infoat REST API level; other APIs in progressUser authentification and security via Rexster Graph Server
More information provided by the system vendor
DgraphGraknJanusGraph infosuccessor of Titan
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
Expressive 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

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

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

Unsolved Machine Learning Problems That You Can Solve
9 July 2019

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More resources
DgraphGraknJanusGraph infosuccessor of Titan
Recent citations in the news

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

Dgraph Labs Secures $11.5 Million in Latest Funding Round
31 July 2019, Database Trends and Applications

Future of Work 2020: Dgraph’s Karthic Rao reveals challenges that developers face
7 March 2020, YourStory

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4 August 2020, Weekly Wall

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1 August 2019, TechTarget

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

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6 August 2020, Science Examiner

BIG DATA IN THE AUTOMOTIVE MARKET INSIGHTS AND OUTLOOK 2020-2026 – HOW WILL COVID-19 AFFECT THE INDUSTRY?
28 July 2020, Science Examiner

BIG DATA IN THE INSURANCE MARKET MAY TURN AS WINNER IN COVID-19 SCENARIO
28 July 2020, Science Examiner

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JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

What Is Graph Analytics, And Why Is It Important?
27 July 2020, Analytics Insight

What & why: Graph machine learning in distributed systems
16 March 2020, Ericsson

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

Comcast, FireEye, Numberly Among Winners of 2019 Scylla User Awards
6 November 2019, GlobeNewswire

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