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DBMS > GRAKN.AI vs. Postgres-XL

System Properties Comparison GRAKN.AI vs. Postgres-XL

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Our visitors often compare GRAKN.AI and Postgres-XL with Cassandra, MongoDB and PostgreSQL.

Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
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.
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#256  Overall
#21  Graph DBMS
#120  Relational DBMS
Score0.42
Rank#217  Overall
#103  Relational DBMS
Websitegrakn.aiwww.postgres-xl.org
Technical documentationdev.grakn.ai/­docswww.postgres-xl.org/­documentation
DeveloperGrakn Labs Ltd
Initial release20162014 infosince 2012, originally named StormDB
Current release1.5.8, August 201910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
Linux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query execution
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infoat REST API level; other APIs in progressfine grained access rights according to SQL-standard
More information provided by the system vendor
GRAKN.AIPostgres-XL
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

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More resources
GRAKN.AIPostgres-XL
Conferences and events

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

Recent citations in the 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

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15 March 2017, DZone News

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28 October 2017, YourStory.com

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20 September 2017, Cloud Pro

provided by Google News

Building a scalable PostgreSQL solution
14 April 2019, Packt Hub

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13 May 2014, opensource.com

When PostgreSQL Doesn't Scale Well Enough
18 April 2016, DZone News

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20 August 2016, DZone News

JDBC Tutorial: Extracting Database Metadata via JDBC Driver
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provided by Google News




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