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DBMS > Microsoft Azure AI Search vs. OrigoDB vs. Quasardb vs. SiteWhere vs. Sphinx

System Properties Comparison Microsoft Azure AI Search vs. OrigoDB vs. Quasardb vs. SiteWhere vs. Sphinx

Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA fully ACID in-memory object graph databaseDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSearch engineDocument store
Object oriented DBMS
Time Series DBMSTime Series DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteazure.microsoft.com/­en-us/­services/­searchorigodb.comquasar.aigithub.com/­sitewhere/­sitewheresphinxsearch.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchorigodb.com/­docsdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docs
DeveloperMicrosoftRobert Friberg et alquasardbSiteWhereSphinx Technologies Inc.
Initial release20152009 infounder the name LiveDB200920102001
Current releaseV13.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++JavaC++
Server operating systemshostedLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freepredefined schemeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes infointeger and binaryyesno
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 infocan be achieved using .NETnono
Secondary indexesyesyesyes infowith tagsnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP API
LINQ
HTTP APIHTTP RESTProprietary protocol
Supported programming languagesC#
Java
JavaScript
Python
.Net.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationSource-replica replication with selectable replication factorselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoby using LevelDByesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlyes infousing Azure authenticationRole based authorizationCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptno

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More resources
Microsoft Azure AI SearchOrigoDBQuasardbSiteWhereSphinx
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