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

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

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionGlobally 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 modelDocument 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
Score30.87
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score4.16
Rank#67  Overall
#5  Wide column stores
Score1.66
Rank#114  Overall
#58  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.org
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.monetdb.org/­Documentation
DeveloperMicrosoftMicrosoftMonetDB BV
Initial release201420122004
Current releaseApr2019, April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes 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.no
Secondary indexesyes infoAll properties auto-indexed by defaultnoyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL 2003 with some extensions
APIs and other access methodsDocumentDB 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 languages.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 proceduresJavaScriptnoyes, in SQL, C, R
TriggersJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes 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 methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACID
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.no
User concepts infoAccess controlAccess 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
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageMonetDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree 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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageMonetDB
Recent citations in the news

Azure Cosmos DB update for August 2019 | Azure Friday - Microsoft
30 August 2019, Channel 9

Document Databases Software Market to See Major Growth by 2025 | MongoDB, Amazon, ArangoDB, Azure Cosmos
20 September 2019, OnYourDesks

Microsoft Unveils Service To Keep Azure Connections Private
18 September 2019, Redmond Channel Partner

Document Databases Software Market Is Booming Worldwide | MongoDB, Amazon, ArangoDB, Azure Cosmos DB
12 September 2019, Indian Columnist

NoSQL Databases Software Market Is Booming Worldwide | MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
26 August 2019, Indian Columnist

provided by Google News

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

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

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 server-side code in Azure Cosmos DB
30 April 2019, InfoWorld

provided by Google News

RDBMS Software Market Overview, New Opportunities & SWOT Analysis by 2025 – ThinkSQL, FrontBase, MonetDB & VoltDB
18 September 2019, Industry News Stock

ExaNeSt Project Successfully Builds Prototype for Exascale
16 September 2019, insideHPC

Global RDBMS Software Market 2019: Expected Development, Share, Demand And Study Of Key Players- Research Predictions 2024
13 September 2019, Top News Herald

Global RDBMS Software Market is slated to grow rapidly in the coming years: Microsoft, Oracle, PostgreSQL Global Development Group, SQLite, IBM
9 September 2019, Market Segment

1st International Conference on Big Scientific Data Management (BigSDM2018)
30 November 2018, Centrum Wiskunde & Informatica (CWI)

provided by Google News

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