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DBMS > GRAKN.AI vs. MongoDB vs. Neo4j

System Properties Comparison GRAKN.AI vs. MongoDB vs. Neo4j

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonMongoDB  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureOpen source graph database
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.
Document storeGraph DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#257  Overall
#23  Graph DBMS
#120  Relational DBMS
Score412.09
Rank#5  Overall
#1  Document stores
Score49.46
Rank#22  Overall
#1  Graph DBMS
Websitegrakn.aiwww.mongodb.comneo4j.com
Technical documentationdev.grakn.ai/­docsdocs.mongodb.com/­manualneo4j.com/­docs
DeveloperGrakn Labs LtdMongoDB, IncNeo4j, Inc.
Initial release201620092007
Current release1.5.8, August 20194.2, August 20193.5.8, July 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageJavaC++Java, Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.no
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
proprietary protocol using JSONBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJavaScriptyes infoUser defined Procedures and Functions
Triggersnoyes infoin MongoDB Atlas onlyyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding infopartitioned by hashed, ranged, or zoned sharding keysnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-slave replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityno infosubstituted by the relationship featureno infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlyes infoat REST API level; other APIs in progressAccess rights for users and rolesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GRAKN.AIMongoDBNeo4j
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GRAKN.AIMongoDBNeo4j
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Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

GraphConnect 2020
New York, USA, 20-22 April 2020

Recent citations in the news

Get Started With GRAKN.AI
10 March 2017, DZone News

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

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

MongoDB: Not A Buy Yet
10 October 2019, Seeking Alpha

MongoDB points Compass at GitHub under SSPL
25 September 2019, DevClass

MongoDB cloud chief explains the value add that Atlas brings for modern data companies
26 September 2019, Diginomica

MongoDB Management Talks Growth Drivers, Operating Margin, and More
18 September 2019, The Motley Fool

Impressive Earnings And Reasonable Valuation: MongoDB, Inc., (NASDAQ: MDB)
17 October 2019, StockNewsWorld

provided by Google News

Neo4j equips educators with data graphing teaching tools
10 October 2019, TechRepublic

Neo4j Launches Program to Empower Educators
10 October 2019, PRNewswire

NEORIS Demonstrates the Power of Graph Knowledge Management to Enable Predictive Analytics at Neo4j GraphTour New York
10 October 2019, PRNewswire

Graph Database Market 2019 Status Analysis : triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
16 October 2019, News Adopt

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