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DBMS > MarkLogic vs. Microsoft Azure Synapse Analytics vs. MonetDB vs. SiteWhere

System Properties Comparison MarkLogic vs. Microsoft Azure Synapse Analytics vs. MonetDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMonetDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA relational database management system that stores data in columnsM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.marklogic.comazure.microsoft.com/­services/­synapse-analyticswww.monetdb.orggithub.com/­sitewhere/­sitewhere
Technical documentationdocs.marklogic.comdocs.microsoft.com/­azure/­synapse-analyticswww.monetdb.org/­Documentationsitewhere1.sitewhere.io/­index.html
DeveloperMarkLogic Corp.MicrosoftMonetDB BVSiteWhere
Initial release2001201620042010
Current release11.0, December 2022Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoMozilla Public License 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++CJava
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infoSQL92yesyes infoSQL 2003 with some extensionsno
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptTransact SQLyes, in SQL, C, R
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding via remote tablesSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoSource-replica replication available in experimental statusselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDACIDno
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.yes, with Range Indexesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
MarkLogicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMonetDBSiteWhere
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