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DBMS > GRAKN.AI vs. JaguarDB vs. Snowflake

System Properties Comparison GRAKN.AI vs. JaguarDB vs. Snowflake

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonJaguarDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionGrakn 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 applicationsCloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score0.00
Rank#334  Overall
#59  Key-value stores
Score2.24
Rank#107  Overall
#52  Relational DBMS
Websitegrakn.aiwww.datajaguar.comwww.snowflake.com
Technical documentationdev.grakn.ai/­docswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperGrakn Labs LtdDataJaguar, Inc.Snowflake Computing Inc.
Initial release201620152014
Current release1.6.2, January 20202.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availableOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
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
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions
Triggersnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-master replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonono
User concepts infoAccess controlyes infoat REST API level; other APIs in progressrights management via user accountsUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
GRAKN.AIJaguarDBSnowflake
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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
GRAKN.AIJaguarDBSnowflake
Conferences and events

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

Recent citations in the news

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
10 March 2017, DZone News

What Is an Ontology?
15 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle unveils Bristol accelerator contenders
11 July 2018, Cloud Pro

provided by Google News

Enabling data-driven video streaming: A Snowflake Case Study
14 January 2020, CDOTrends

Predictions 2020: Cloud, Kubernetes and cybersecurity will rule
28 December 2019, SiliconANGLE News

Aqua Data Studio Version 20.5 Introduces New Database Support
15 January 2020, Database Trends and Applications

Aqua Data Studio Version 20.5 Introduces Support for Amazon RDS
14 January 2020, Yahoo Finance

I'm Obsessed With Snowflake the Albino Squirrel from Derry, NH
13 January 2020, wokq.com

provided by Google News

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