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DBMS > Microsoft Azure AI Search vs. StarRocks

System Properties Comparison Microsoft Azure AI Search vs. StarRocks

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Our visitors often compare Microsoft Azure AI Search and StarRocks with Databricks, PostgreSQL and Elasticsearch.

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.16
Rank#61  Overall
#7  Search engines
Score1.01
Rank#181  Overall
#81  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.starrocks.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperMicrosoftThe Linux Foundation infosince Feb 2023
Initial release20152020
Current releaseV13.3, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java
Server operating systemshostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP APIJDBC
MySQL protocol
Supported programming languagesC#
Java
JavaScript
Python
Java
Server-side scripts infoStored proceduresnouser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes infousing Azure authenticationRole based access control and fine grained access rights

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More resources
Microsoft Azure AI SearchStarRocks
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