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DBMS > EnterpriseDB vs. GRAKN.AI vs. Hypertable

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

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Editorial information provided by DB-Engines
NameEnterpriseDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.An open source BigTable implementation based on distributed file systems such as Hadoop
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.
Wide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.36
Rank#102  Overall
#49  Relational DBMS
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Websitewww.enterprisedb.comgrakn.ai
Technical documentationwww.enterprisedb.com/­resources/­product-documentationdev.grakn.ai/­docs
DeveloperEnterpriseDBGrakn Labs LtdHypertable Inc.
Initial release200520162009
Current releaseV10, November 20171.6.2, January 20200.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentsOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGNU version 3. Commercial license 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 languageCJavaC++
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesrestricted infoonly exact value or prefix value scans
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)
C++ API
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-master replication infoby using Cassandraselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeeperyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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 progressno
More information provided by the system vendor
EnterpriseDBGRAKN.AIHypertable
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
EnterpriseDBGRAKN.AIHypertable
Conferences and events

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

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