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DBMS > SiriDB vs. Sphinx vs. Yaacomo

System Properties Comparison SiriDB vs. Sphinx vs. Yaacomo

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Editorial information provided by DB-Engines
NameSiriDB  Xexclude from comparisonSphinx  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#357  Overall
#33  Time Series DBMS
Score6.68
Rank#61  Overall
#8  Search engines
Score0.00
Rank#389  Overall
#160  Relational DBMS
Websitesiridb.comsphinxsearch.comyaacomo.com
Technical documentationdocs.siridb.comsphinxsearch.com/­docs
DeveloperCesbitSphinx Technologies Inc.Q2WEB GmbH
Initial release201720012009
Current release3.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infoNumeric datanoyes
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 methodsHTTP APIProprietary protocolJDBC
ODBC
Supported programming languagesC
C++
Go
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
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
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlsimple rights management via user accountsnofine grained access rights according to SQL-standard

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More resources
SiriDBSphinxYaacomo
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