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DBMS > GeoSpock vs. HyperSQL vs. Sphinx

System Properties Comparison GeoSpock vs. HyperSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSphinx  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleMultithreaded, 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 DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegeospock.comhsqldb.orgsphinxsearch.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlsphinxsearch.com/­docs
DeveloperGeoSpockSphinx Technologies Inc.
Initial release20012001
Current release2.0, September 20192.7.2, June 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptJavaC++
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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 indexestemporal, categoricalyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI SQL for query only (using Presto)yesSQL-like query language (SphinxQL)
APIs and other access methodsJDBCHTTP 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 proceduresnoJava, SQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneSharding 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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standardno

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More resources
GeoSpockHyperSQL infoalso known as HSQLDBSphinx
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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23 February 2021, ComputerWeekly.com

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