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DBMS > EXASOL vs. Grakn vs. Graph Engine vs. JaguarDB

System Properties Comparison EXASOL vs. Grakn vs. Graph Engine vs. JaguarDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGrakn  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginePerformant, highly scalable DBMS for AI and IoT applications
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
Key-value store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#88  Overall
#44  Relational DBMS
Score0.42
Rank#221  Overall
#17  Graph DBMS
#104  Relational DBMS
Score0.55
Rank#203  Overall
#16  Graph DBMS
#33  Key-value stores
Score0.00
Rank#339  Overall
#59  Key-value stores
Websitewww.exasol.com/­en/­productsgrakn.aiwww.graphengine.iowww.datajaguar.com
Technical documentationwww.exasol.com/­en/­community/­resourcesdev.grakn.ai/­docswww.graphengine.io/­docs/­manualwww.datajaguar.com/­support.php
DeveloperExasolGrakn LabsMicrosoftDataJaguar, Inc.
Initial release2000201620102015
Current release1.6.2, January 20202.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoMIT LicenseOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Windows
.NETLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnonoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methods.Net
JDBC
ODBC
WebSocket
console (shell)
gRPC protocol
Workbase (visualisation software)
RESTful HTTP APIJDBC
ODBC
Supported programming languagesJava
Lua
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C#
C++
F#
Visual Basic
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Cassandrahorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featurenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardyes infoat REST API level; other APIs in progressrights management via user accounts
More information provided by the system vendor
EXASOLGraknGraph Engine infoformer name: TrinityJaguarDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
SQL support, group by, order by, join
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Extremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
IoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Free-trial license, per-node license, and subscription license.
» more
News

Grakn Cosmos 2020: A Recap
25 February 2020

Moving from Slack to Discord
14 February 2020

Setting up a knowledge base to encode domain knowledge for Rasa
14 August 2019

Unsolved Machine Learning Problems That You Can Solve
9 July 2019

Drug Discovery Knowledge Graphs
7 June 2019

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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
EXASOLGraknGraph Engine infoformer name: TrinityJaguarDB
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