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DBMS > CrateDB vs. EXASOL vs. Grakn vs. JaguarDB

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

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonEXASOL  Xexclude from comparisonGrakn  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneHigh-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 DBMS
Search engine
Relational 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
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#189  Overall
#91  Relational DBMS
#13  Search engines
Score2.86
Rank#90  Overall
#45  Relational DBMS
Score0.49
Rank#207  Overall
#17  Graph DBMS
#100  Relational DBMS
Score0.00
Rank#339  Overall
#59  Key-value stores
Websitecrate.iowww.exasol.com/­en/­productsgrakn.aiwww.datajaguar.com
Technical documentationcrate.io/­docswww.exasol.com/­en/­community/­resourcesdev.grakn.ai/­docswww.datajaguar.com/­support.php
DeveloperCrateExasolGrakn LabsDataJaguar, Inc.
Initial release2013200020162015
Current release1.6.2, January 20202.9.4 September 2018
License infoCommercial or Open SourceOpen SourcecommercialOpen 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 languageJavaJavaC++ infothe server part. Clients available in other languages
Server operating systemsAll OS with a Java 7 VMLinux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
console (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
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 functionsuser defined functionsnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-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 systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDno
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.noyesnono
User concepts infoAccess controlrights management via user accountsAccess 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
CrateDBEXASOLGraknJaguarDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Grakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
SQL support, group by, order by, join
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Expressive 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 scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Life 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 customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Advertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
AGPL 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
CrateDBEXASOLGraknJaguarDB
Recent citations in the news

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