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

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

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRockset  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseSearch-as-a-service for web and mobile app developmentA scalable, reliable search and analytics service in the cloud, built on RocksDBM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineDocument storeTime Series DBMS
Secondary database modelsVector DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score5.75
Rank#58  Overall
#7  Search engines
Score1.07
Rank#180  Overall
#31  Document stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitewww.progress.com/­marklogicazure.microsoft.com/­en-us/­services/­searchrockset.comgithub.com/­sitewhere/­sitewhere
Technical documentationwww.progress.com/­marklogic/­documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.rockset.comsitewhere1.sitewhere.io/­index.html
DeveloperMarkLogic Corp.MicrosoftRocksetSiteWhere
Initial release2001201520192010
Current release11.0, December 2022V1
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
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 languageC++C++Java
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLyes infoSQL92noRead-only SQL queries, including JOINsno
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 RESTHTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
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 serviceAutomatic shardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyesselectable 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 ConsistencyEventual 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 transactionnonono
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 Indexesnono
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyes infousing Azure authenticationAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept

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More resources
MarkLogicMicrosoft Azure AI SearchRocksetSiteWhere
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

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