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DBMS > IBM Cloudant vs. Kinetica vs. Microsoft Azure AI Search vs. Sadas Engine vs. Sphinx

System Properties Comparison IBM Cloudant vs. Kinetica vs. Microsoft Azure AI Search vs. Sadas Engine vs. Sphinx

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSSearch engineRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#95  Overall
#18  Document stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.00
Rank#385  Overall
#159  Relational DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Websitewww.ibm.com/­products/­cloudantwww.kinetica.comazure.microsoft.com/­en-us/­services/­searchwww.sadasengine.comsphinxsearch.com
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docs
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaMicrosoftSADAS s.r.l.Sphinx Technologies Inc.
Initial release20102012201520062001
Current release7.1, August 2021V18.03.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC, C++C++C++
Server operating systemshostedLinuxhostedAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesno
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.nononono
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
Proprietary protocol
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptuser defined functionsnonono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenonono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyes infoGPU vRAM or System RAMnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and roles on table levelyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standardno

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More resources
IBM CloudantKineticaMicrosoft Azure AI SearchSadas EngineSphinx
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