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DBMS > GRAKN.AI vs. Hypertable vs. PostgreSQL

System Properties Comparison GRAKN.AI vs. Hypertable vs. PostgreSQL

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonHypertable  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.An open source BigTable implementation based on distributed file systems such as HadoopWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
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.
Wide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score503.37
Rank#4  Overall
#4  Relational DBMS
Websitegrakn.aiwww.postgresql.org
Technical documentationdev.grakn.ai/­docswww.postgresql.org/­docs/­manuals
DeveloperGrakn Labs LtdHypertable Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201620091989 info1989: Postgres, 1996: PostgreSQL
Current release1.6.1, December 20190.9.8.11, March 201612.1, November 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoyes infostandard with numerous extensions
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
C++ API
Thrift
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
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandraselectable replication factor on file system levelMaster-slave replication infoother methods possible by using 3rd party extensions
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlyes infoat REST API level; other APIs in progressnofine grained access rights according to SQL-standard
More information provided by the system vendor
GRAKN.AIHypertablePostgreSQL
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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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GRAKN.AIHypertablePostgreSQL
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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

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