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DBMS > GeoSpock vs. mSQL vs. openGemini vs. Postgres-XL vs. Sphinx

System Properties Comparison GeoSpock vs. mSQL vs. openGemini vs. Postgres-XL vs. Sphinx

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonopenGemini  Xexclude from comparisonPostgres-XL  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 scalemSQL (Mini SQL) is a simple and lightweight RDBMSAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegeospock.comhughestech.com.au/­products/­msqlwww.opengemini.org
github.com/­openGemini
www.postgres-xl.orgsphinxsearch.com
Technical documentationdocs.opengemini.org/­guidewww.postgres-xl.org/­documentationsphinxsearch.com/­docs
DeveloperGeoSpockHughes TechnologiesHuawei and openGemini communitySphinx Technologies Inc.
Initial release199420222014 infosince 2012, originally named StormDB2001
Current release2.0, September 20194.4, October 20211.1, July 202310 R1, October 20183.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptCGoCC++
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyesno
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.nononoyes infoXML type, but no XML query functionality
Secondary indexestemporal, categoricalyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query languageyes infodistributed, parallel query executionSQL-like query language (SphinxQL)
APIs and other access methodsJDBCJDBC
ODBC
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononouser defined functionsno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonoyesno
User concepts infoAccess controlAccess rights for users can be defined per tablenoAdministrators and common users accountsfine grained access rights according to SQL-standardno

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More resources
GeoSpockmSQL infoMini SQLopenGeminiPostgres-XLSphinx
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