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DBMS > GRAKN.AI vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. MonetDB

System Properties Comparison GRAKN.AI vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. MonetDB

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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 comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  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 serviceA Wide Column Store for rapid development using massive semi-structured datasetsA relational database management system that stores data in columns
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
Wide column storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#256  Overall
#21  Graph DBMS
#120  Relational DBMS
Score31.98
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.00
Rank#65  Overall
#5  Wide column stores
Score1.91
Rank#115  Overall
#57  Relational DBMS
Websitegrakn.aiazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.org
Technical documentationdev.grakn.ai/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.monetdb.org/­Documentation
DeveloperGrakn Labs LtdMicrosoftMicrosoftMonetDB BV
Initial release2016201420122004
Current release1.5.8, August 2019Apr2019, April 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
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
hostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesyesyes
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 defaultnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infoSQL 2003 with some extensions
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APInative C library infoMAPI library (MonetDB application programming interface)
JDBC
ODBC
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
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoJavaScriptnoyes, in SQL, C, R
TriggersnoJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandrayes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoMaster-slave replication available in experimental status
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*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Immediate Consistency
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACID
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.nono
User concepts infoAccess controlyes infoat REST API level; other APIs in progressAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard
More information provided by the system vendor
GRAKN.AIMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageMonetDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

Remote Tables and Authorization
10 August 2018

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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
GRAKN.AIMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageMonetDB
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

Microsoft debuts Azure Synapse Analytics, updates database offerings
4 November 2019, VentureBeat

Global NoSQL Databases Software Market 2019 Feature Scenario - MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB
4 November 2019, Air News Paper

Global Document Databases Software Market Strategics Key Players 2019 : MongoDB, Amazon, ArangoDB, Azure Cosmos DB
6 November 2019, Markets Gazette 24

Microsoft bolsters Azure Blockchain with managed tokenization service and updates
4 November 2019, VentureBeat

SQL Server 2019 reaches general availability
4 November 2019, ZDNet

provided by Google News

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

Good news: Microsoft's Azure Data Box Disk is here. Bad news: UK South Storage is having a liedown
10 January 2019, The Register

Talend Introduces Fast, Frictionless Data Loading for Microsoft Azure
8 February 2019, MarTech Advisor

Writing Tests for Azure Functions | On .NET - Microsoft
26 November 2018, Channel 9

provided by Google News

CWI research collaboration leads to 100 million euro investment in Amsterdam
6 November 2019, Centrum Wiskunde & Informatica (CWI)

MonetDB Solutions secures investment from ServiceNow
1 October 2019, Centrum Wiskunde & Informatica (CWI)

Global RDBMS Software Market 2019 CAGR Status – SQLite, ThinkSQL, Oracle, Microsoft, IBM, PostgreSQL Global
6 November 2019, News Midget

Detail Analysis of RDBMS Software Market Flourishing Continuously By Leading Players Microsoft, Oracle, PostgreSQL Global Development Group, SQLite, IBM, SolarWinds IT Operations Management, Cubrid
6 November 2019, Market Report Gazette

RDBMS Software Market 2019-2026: Deep Analysis of Current Trends and Future Demand by Top Key Players – Microsoft, Oracle, SQLite, IBM, Cubrid, TmaxSoft, CA Technologies , ThinkSQL, FrontBase, MonetDB, VoltDB
25 October 2019, Market Report Gazette

provided by Google News

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