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DBMS > Microsoft Azure AI Search vs. Rockset vs. Tigris

System Properties Comparison Microsoft Azure AI Search vs. Rockset vs. Tigris

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonRockset  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA scalable, reliable search and analytics service in the cloud, built on RocksDBA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelSearch engineDocument storeDocument store
Key-value store
Search engine
Time Series DBMS
Secondary database modelsVector DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score0.82
Rank#212  Overall
#36  Document stores
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchrockset.comwww.tigrisdata.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.rockset.comwww.tigrisdata.com/­docs
DeveloperMicrosoftRocksetTigris Data, Inc.
Initial release201520192022
Current releaseV1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedLinux
macOS
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic 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.nono infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsno
APIs and other access methodsRESTful HTTP APIHTTP RESTCLI Client
gRPC
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes infousing Azure authenticationAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users and roles

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More resources
Microsoft Azure AI SearchRocksetTigris
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