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DBMS > GRAKN.AI vs. Microsoft Azure SQL Data Warehouse

System Properties Comparison GRAKN.AI vs. Microsoft Azure SQL Data Warehouse

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Our visitors often compare GRAKN.AI and Microsoft Azure SQL Data Warehouse with Elasticsearch, MongoDB and Cassandra.

Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
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.
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#256  Overall
#21  Graph DBMS
#120  Relational DBMS
Score9.43
Rank#42  Overall
#26  Relational DBMS
Websitegrakn.aiazure.microsoft.com/­services/­sql-data-warehouse
Technical documentationdev.grakn.ai/­docsdocs.microsoft.com/­azure/­sql-data-warehouse
DeveloperGrakn Labs LtdMicrosoft
Initial release20162016
Current release1.5.8, August 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows
hosted
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
ADO.NET
JDBC
ODBC
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnoTransact SQL
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featureyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes infoat REST API level; other APIs in progressyes
More information provided by the system vendor
GRAKN.AIMicrosoft Azure SQL Data Warehouse
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more

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More resources
GRAKN.AIMicrosoft Azure SQL Data Warehouse
DB-Engines blog posts

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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Conferences and events

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

Recent citations in the news

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

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

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

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

5 high-tech startups chosen to join Bristol's Oracle Startup Cloud Accelerator Program
21 September 2017, TechSPARK

provided by Google News

Azure Synapse Analytics combines data warehouse, lake and pipelines
4 November 2019, ZDNet

Microsoft Azure Synapse Analytics Torches Google and Amazon
12 November 2019, Cloud Wars

Microsoft Ignite postmortem: Cutting through the complexity
11 November 2019, ZDNet

SQL Server 2019 reaches general availability
4 November 2019, ZDNet

Microsoft Aims for Data Analytics Unification with 'Synapse'
8 November 2019, Datanami

provided by Google News

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