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

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

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonRockset  Xexclude from comparisonSiteWhere  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionSearch-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 dataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineDocument storeTime Series DBMSRelational DBMS
Secondary database modelsVector DBMSRelational DBMS
Search engine
Document store
Spatial DBMS
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
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchrockset.comgithub.com/­sitewhere/­sitewherevitess.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.rockset.comsitewhere1.sitewhere.io/­index.htmlvitess.io/­docs
DeveloperMicrosoftRocksetSiteWhereThe Linux Foundation, PlanetScale
Initial release2015201920102013
Current releaseV115.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGo
Server operating systemshostedhostedLinux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesdynamic typingyesyes
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 indexednoyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIHTTP RESTHTTP RESTADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyes infoproprietary syntax
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlyes infousing Azure authenticationAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization conceptUsers with fine-grained authorization concept infono user groups or roles

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Microsoft Azure AI SearchRocksetSiteWhereVitess
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