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DBMS > Sphinx vs. Yanza

System Properties Comparison Sphinx vs. Yanza

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS for IoT Applications
Primary database modelSearch engineTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#56  Overall
#6  Search engines
Score0.00
Rank#353  Overall
#34  Time Series DBMS
Websitesphinxsearch.comyanza.com
Technical documentationsphinxsearch.com/­docs
DeveloperSphinx Technologies Inc.Yanza
Initial release20012015
Current release3.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or datenono
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.no
Secondary indexesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query language (SphinxQL)no
APIs and other access methodsProprietary protocolHTTP API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
any language that supports HTTP calls
Server-side scripts infoStored proceduresnono
Triggersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yes
User concepts infoAccess controlnono

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More resources
SphinxYanza
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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Recent citations in the news

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4 September 2020, Search Engine Journal

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31 May 2021, Techstory

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17 June 2019, H2S Media

provided by Google News

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