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DBMS > GeoMesa vs. mSQL vs. NSDb vs. Sphinx

System Properties Comparison GeoMesa vs. mSQL vs. NSDb vs. Sphinx

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Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNSDb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.mSQL (Mini SQL) is a simple and lightweight RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSpatial DBMSRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.geomesa.orghughestech.com.au/­products/­msqlnsdb.iosphinxsearch.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlnsdb.io/­Architecturesphinxsearch.com/­docs
DeveloperCCRi and othersHughes TechnologiesSphinx Technologies Inc.
Initial release2014199420172001
Current release5.0.0, May 20244.4, October 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree licenses can be providedOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
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 languageScalaCJava, ScalaC++
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringno
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 indexesyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
WebSocket
Proprietary protocol
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layernoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layernoneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes 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.depending on storage layerno
User concepts infoAccess controlyes infodepending on the DBMS used for storagenono

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More resources
GeoMesamSQL infoMini SQLNSDbSphinx
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