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DBMS > SiriDB vs. Sphinx vs. Transwarp Hippo vs. Yaacomo

System Properties Comparison SiriDB vs. Sphinx vs. Transwarp Hippo vs. Yaacomo

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Editorial information provided by DB-Engines
NameSiriDB  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSSearch engineVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitesiridb.comsphinxsearch.comwww.transwarp.cn/­en/­subproduct/­hippoyaacomo.com
Technical documentationdocs.siridb.comsphinxsearch.com/­docs
DeveloperCesbitSphinx Technologies Inc.Q2WEB GmbH
Initial release2017200120232009
Current release3.5.1, February 20231.0, May 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Android
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infoNumeric datanoVector, Numeric and Stringyes
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 indexesyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)noyes
APIs and other access methodsHTTP APIProprietary protocolRESTful HTTP APIJDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Server-side scripts infoStored proceduresnonono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlsimple rights management via user accountsnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
SiriDBSphinxTranswarp HippoYaacomo
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