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DBMS > Microsoft Azure Cosmos DB vs. MonetDB vs. Quasardb

System Properties Comparison Microsoft Azure Cosmos DB vs. MonetDB vs. Quasardb

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMonetDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceA relational database management system that stores data in columnsDistributed, high-performance timeseries database
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score39.71
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.91
Rank#125  Overall
#60  Relational DBMS
Score0.15
Rank#293  Overall
#26  Time Series DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbwww.monetdb.orgquasardb.net
Technical documentationdocs.microsoft.com/­azure/­cosmos-dbwww.monetdb.org/­Documentationdoc.quasardb.net
DeveloperMicrosoftMonetDB BVquasardb
Initial release201420042009
Current releaseOct2020-SP2, January 20213.1, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infoJSON typesyesyes infointeger and binary
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 defaultyesyes infowith tags
SQL infoSupport of SQLSQL-like query languageyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresJavaScriptyes, in SQL, C, Rno
TriggersJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental statusSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMonetDBQuasardb
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMonetDBQuasardb
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