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DBMS > Brytlyt vs. EXASOL vs. Grakn vs. JaguarDB

System Properties Comparison Brytlyt vs. EXASOL vs. Grakn vs. JaguarDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonEXASOL  Xexclude from comparisonGrakn  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHigh-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.Performant, highly scalable DBMS for AI and IoT applications
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.
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#278  Overall
#130  Relational DBMS
Score2.75
Rank#88  Overall
#44  Relational DBMS
Score0.42
Rank#221  Overall
#17  Graph DBMS
#104  Relational DBMS
Score0.00
Rank#339  Overall
#59  Key-value stores
Websitewww.brytlyt.comwww.exasol.com/­en/­productsgrakn.aiwww.datajaguar.com
Technical documentationwww.exasol.com/­en/­community/­resourcesdev.grakn.ai/­docswww.datajaguar.com/­support.php
DeveloperBrytlytExasolGrakn LabsDataJaguar, Inc.
Initial release2016200020162015
Current release0.9, October 20161.6.2, January 20202.9.4 September 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
WebSocket
console (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
Lua
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functionsnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication infoby using CassandraMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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
BrytlytEXASOLGraknJaguarDB
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
BrytlytEXASOLGraknJaguarDB
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