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DBMS > Microsoft Azure AI Search vs. Quasardb

System Properties Comparison Microsoft Azure AI Search vs. Quasardb

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Our visitors often compare Microsoft Azure AI Search and Quasardb with Redis, Microsoft Azure Synapse Analytics and MongoDB.

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries database
Primary database modelSearch engineTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.28
Rank#61  Overall
#7  Search engines
Score0.17
Rank#320  Overall
#28  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchquasar.ai
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­master
DeveloperMicrosoftquasardb
Initial release20152009
Current releaseV13.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedBSD
Linux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes 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.nono
Secondary indexesyesyes infowith tags
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API
Supported programming languagesC#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration
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 datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlyes infousing Azure authenticationCryptographically strong user authentication and audit trail

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More resources
Microsoft Azure AI SearchQuasardb
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