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DBMS > 4D vs. EnterpriseDB vs. GRAKN.AI

System Properties Comparison 4D vs. EnterpriseDB vs. GRAKN.AI

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonEnterpriseDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemThe 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.
Primary database modelRelational DBMSRelational 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.
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#95  Overall
#46  Relational DBMS
Score2.36
Rank#102  Overall
#49  Relational DBMS
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Websitewww.4d.comwww.enterprisedb.comgrakn.ai
Technical documentationdoc.4d.comwww.enterprisedb.com/­resources/­product-documentationdev.grakn.ai/­docs
Developer4D, IncEnterpriseDBGrakn Labs Ltd
Initial release198420052016
Current releasev17.0, July 2018V10, November 20171.6.1, December 2019
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentsOpen Source infoGPL Version 3, 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.
Implementation languageCJava
Server operating systemsOS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyes
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.yesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infostandard with numerous extensionsno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
console (shell)
gRPC protocol
Workbase (visualisation software)
Supported programming languages4D proprietary IDE
PHP
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangeSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replicationMaster-master replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.nonono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
4D infoformer name: 4th DimensionEnterpriseDBGRAKN.AI
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
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
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
Key customersMasterCard, Hewlett Packard Enterprise, Ericsson, AT&T, Alibaba, Korea Telecom and...
» more
Market metricsListed in Gartner Magic Quadrant 2013-2018 with over 4,000 customers.
» 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

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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
4D infoformer name: 4th DimensionEnterpriseDBGRAKN.AI
DB-Engines blog posts

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

show all

Conferences and events

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

Recent citations in the news

EnterpriseDB Announces Postgres Platform 12; Extends Leading Open Source Database
10 December 2019, RealWire

EnterpriseDB Expands Worldwide Partner Program
5 September 2019, PRNewswire

EnterpriseDB Acquired by Great Hill Partners
26 June 2019, PRNewswire

EnterpriseDB goes private
26 June 2019, ZDNet

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

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

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