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DBMS > EnterpriseDB vs. GRAKN.AI vs. Neo4j

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

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Editorial information provided by DB-Engines
NameEnterpriseDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options, complemented by tool kits for management, integration, and migration.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Open source graph database
Primary database modelRelational 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
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.43
Rank#98  Overall
#48  Relational DBMS
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score50.56
Rank#22  Overall
#1  Graph DBMS
Websitewww.enterprisedb.comgrakn.aineo4j.com
Technical documentationwww.enterprisedb.com/­resources/­product-documentationdev.grakn.ai/­docsneo4j.com/­docs
DeveloperEnterpriseDBGrakn Labs LtdNeo4j, Inc.
Initial release200520162007
Current releaseV10, November 20171.6.1, December 20193.5.8, July 2019
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
EDB Postgres Cloud Database Service: Fully managed and Oracle compatible Postgres cloud database service on AWS with high availability, automated failover, streaming logs, enterprise security and easy scale out.Neo4j Aura: The simplest way to run Neo4j in the cloud
Implementation languageCJavaJava, Scala
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesyesschema-free and schema-optional
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.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infostandard with numerous extensionsnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
console (shell)
gRPC protocol
Workbase (visualisation software)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoUser defined Procedures and Functions
Triggersyesnoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding infoby using Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replication infoby using CassandraCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesno 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 datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progressUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
EnterpriseDBGRAKN.AINeo4j
Specific characteristicsPostgreSQL with added Security, Performance, DBA, Developer, and Oracle compatibile...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
Competitive advantagesComplete Postgres platform with enterprise-class Postgres, Management, Integration,...
» more
Expressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
Typical application scenariosNew applications for transactional, reporting and mixed workloads that need to integrate...
» more
Life sciences : Grakn makes working with biological data much easier and accelerates...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» more
Neo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
Licensing and pricing modelsOpen Source and Commercial core based licensing.
» more
AGPL and Commercial . The commercial license is priced based on cluster resources...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
News

This Week in Neo4j – Full Text Search Tips and Tricks, Learning Geography, MongoDB to Graph
7 December 2019

Graphs on GPUs: 5-Minute Interview with Saul Rosales
6 December 2019

Graphing Space and Time
4 December 2019

This Week in Neo4j – Building a Fashion Knowledge Graph, Carrefour Basket Dataset Challenge, Community detection on Game of Thrones, Analysing Network Traffic
30 November 2019

#GraphCast: “All Graph Databases Are Not Created Equal”
29 November 2019

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EnterpriseDBGRAKN.AINeo4j
DB-Engines blog posts

Applying Graph Analytics to Game of Thrones
12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

show all

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

EnterpriseDB Named a Challenger in Gartner Magic Quadrant for Operational Database Management Systems
3 December 2019, RealWire

IBM Extends Cloud Pak for Data Strategy to Postgres
14 November 2019, RTInsights

EnterpriseDB Acquired by Great Hill Partners
26 June 2019, PRNewswire

Enterprise Database Market Competitive Intelligence And Tracking Report 2019-2025|Top Companies-Microsoft, Clustrix, SAP, Caspio, Oracle, EnterpriseDB, IBM, Rackspace, MongoLab, Amazon Web Services, Google
6 December 2019, Techi Labs

EnterpriseDB goes private
26 June 2019, ZDNet

provided by Google News

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

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

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

Neo4J Launches Cloud Graph Database
13 November 2019, iProgrammer

Neo4j Releases Native Graph Database as a Service Platform
12 November 2019, Database Trends and Applications

Neo4j Unveils New Fully-Managed Graph Database Called Neo4j Aura
7 November 2019, Solutions Review

Neo4j introduces Aura, a new cloud service to supply a flexible, reliable and developer-friendly graph database
7 November 2019, Packt Hub

Graph Database Market 2019 Growth Strategies | triAGENS GmbH(Arango DB), Neo4j, Inc, OrientDB Ltd, Cayley
5 December 2019, Premier Herald 24

provided by Google News

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