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DBMS > Microsoft Azure AI Search vs. Sphinx vs. TimesTen vs. Ultipa

System Properties Comparison Microsoft Azure AI Search vs. Sphinx vs. TimesTen vs. Ultipa

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparisonUltipa  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 databasesIn-Memory RDBMS compatible to OracleHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelSearch engineSearch engineRelational DBMSGraph DBMS
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
Score5.98
Rank#56  Overall
#5  Search engines
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.ultipa.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsdocs.oracle.com/­database/­timesten-18.1www.ultipa.com/­document
DeveloperMicrosoftSphinx Technologies Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Ultipa
Initial release2015200119982019
Current releaseV13.5.1, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
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)yes
APIs and other access methodsRESTful HTTP APIProprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
PL/SQL
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoPL/SQL
Triggersnonono
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 supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
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 infoby means of logfiles and checkpoints
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 authenticationnofine grained access rights according to SQL-standard

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More resources
Microsoft Azure AI SearchSphinxTimesTenUltipa
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