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DBMS > MarkLogic vs. Microsoft Azure AI Search vs. Quasardb vs. SiteWhere

System Properties Comparison MarkLogic vs. Microsoft Azure AI Search vs. Quasardb vs. SiteWhere

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineTime Series DBMSTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score5.71
Rank#64  Overall
#8  Search engines
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websitewww.marklogic.comazure.microsoft.com/­en-us/­services/­searchquasar.aigithub.com/­sitewhere/­sitewhere
Technical documentationdocs.marklogic.comlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.html
DeveloperMarkLogic Corp.MicrosoftquasardbSiteWhere
Initial release2001201520092010
Current release11.0, December 2022V13.14.1, January 2024
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen 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++Java
Server operating systemsLinux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.yesnonono
Secondary indexesyesyesyes infowith tagsno
SQL infoSupport of SQLyes infoSQL92noSQL-like query languageno
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
RESTful HTTP APIHTTP APIHTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factorselectable 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 jobsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesnoyes infoTransient modeno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyes infousing Azure authenticationCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept

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More resources
MarkLogicMicrosoft Azure AI SearchQuasardbSiteWhere
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