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DBMS > GRAKN.AI vs. Microsoft Azure Cosmos DB vs. SiteWhere

System Properties Comparison GRAKN.AI vs. Microsoft Azure Cosmos DB vs. SiteWhere

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.Globally distributed, horizontally scalable, multi-model database serviceM2M integration platform for persisting/querying time series 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.
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score31.43
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#338  Overall
#31  Time Series DBMS
Websitegrakn.aiazure.microsoft.com/­services/­cosmos-dbsitewhere.io
Technical documentationdev.grakn.ai/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-dbsitewhere.io/­docs/­2.1.0
DeveloperGrakn Labs LtdMicrosoftSiteWhere
Initial release201620142010
Current release1.6.1, December 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
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 infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP REST
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoJavaScript
TriggersnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayes infoImplicit feature of the cloud serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeeperwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionno
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.nono
User concepts infoAccess controlyes infoat REST API level; other APIs in progressAccess rights can be defined down to the item levelUsers with fine-grained authorization concept
More information provided by the system vendor
GRAKN.AIMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSiteWhere
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 Cosmos DB infoformer name was Azure DocumentDBSiteWhere
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
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Microsoft unveils blockchain token and data management service
9 December 2019, TOKENPOST

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21 August 2019, PRNewswire

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13 June 2016, Network World

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17 June 2018, Richmond.com

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21 January 2016, Datamation

provided by Google News

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