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DBMS > Microsoft Azure AI Search vs. Sphinx vs. VelocityDB

System Properties Comparison Microsoft Azure AI Search vs. Sphinx vs. VelocityDB

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelSearch engineSearch engineGraph DBMS
Object oriented DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.71
Rank#64  Overall
#8  Search engines
Score6.03
Rank#60  Overall
#6  Search engines
Score0.11
Rank#347  Overall
#35  Graph DBMS
#15  Object oriented DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comvelocitydb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperMicrosoftSphinx Technologies Inc.VelocityDB Inc
Initial release201520012011
Current releaseV13.5.1, February 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Any that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIProprietary protocol.Net
Supported programming languagesC#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Server-side scripts infoStored proceduresnonono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
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 persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes infousing Azure authenticationnoBased on Windows Authentication

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More resources
Microsoft Azure AI SearchSphinxVelocityDB
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