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DBMS > EXASOL vs. Grakn vs. JaguarDB vs. Teradata

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

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGrakn  Xexclude from comparisonJaguarDB  Xexclude from comparisonTeradata  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.Performant, highly scalable DBMS for AI and IoT applicationsA hybrid cloud data analytics software platform (Teradata Vantage)
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.
Key-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Time Series DBMS
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
Score0.00
Rank#339  Overall
#59  Key-value stores
Score76.59
Rank#15  Overall
#10  Relational DBMS
Websitewww.exasol.com/­en/­productsgrakn.aiwww.datajaguar.comwww.teradata.com
Technical documentationwww.exasol.com/­en/­community/­resourcesdev.grakn.ai/­docswww.datajaguar.com/­support.phpdocs.teradata.com
DeveloperExasolGrakn LabsDataJaguar, Inc.Teradata
Initial release2000201620151984
Current release1.6.2, January 20202.9.4 September 2018Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL V3.0commercial
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 languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Windows
Linuxhosted
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.nononoyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL 2016 + extensions
APIs and other access methods.Net
JDBC
ODBC
WebSocket
console (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesJava
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
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using CassandraShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infosubstituted by the relationship featurenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesnonoyes
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 accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
EXASOLGraknJaguarDBTeradata
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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EXASOLGraknJaguarDBTeradata
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