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DBMS > IBM Cloudant vs. Microsoft Azure AI Search vs. Sphinx vs. TimesTen

System Properties Comparison IBM Cloudant vs. Microsoft Azure AI Search vs. Sphinx vs. TimesTen

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBSearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databasesAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelDocument storeSearch engineSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#95  Overall
#18  Document stores
Score5.75
Rank#58  Overall
#7  Search engines
Score5.97
Rank#56  Overall
#5  Search engines
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­services/­searchsphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docsdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftSphinx Technologies Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2010201520011998
Current releaseV13.5.1, February 2023Release 22.1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageErlangC++
Server operating systemshostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nonono
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIProprietary protocolODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnonoPL/SQL
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding 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 nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyes infousing Azure authenticationnofine grained access rights according to SQL-standard

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More resources
IBM CloudantMicrosoft Azure AI SearchSphinxTimesTen
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