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DBMS > HyperSQL vs. Sphinx

System Properties Comparison HyperSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.72
Rank#90  Overall
#49  Relational DBMS
Score5.72
Rank#56  Overall
#5  Search engines
Websitehsqldb.orgsphinxsearch.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlsphinxsearch.com/­docs
DeveloperSphinx Technologies Inc.
Initial release20012001
Current release2.7.2, June 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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 indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJava, SQLno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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More resources
HyperSQL infoalso known as HSQLDBSphinx
DB-Engines blog posts

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4 February 2013, Paul Andlinger

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