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DBMS > mSQL vs. NSDb vs. SiteWhere vs. Sphinx

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

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Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonNSDb  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesM2M integration platform for persisting/querying time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitehughestech.com.au/­products/­msqlnsdb.iogithub.com/­sitewhere/­sitewheresphinxsearch.com
Technical documentationnsdb.io/­Architecturesitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docs
DeveloperHughes TechnologiesSiteWhereSphinx Technologies Inc.
Initial release1994201720102001
Current release4.4, October 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ScalaJavaC++
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, 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.nonono
Secondary indexesyesall fields are automatically indexednoyes infofull-text index on all search fields
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
WebSocket
HTTP RESTProprietary 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 proceduresnonono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes 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.nono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptno

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More resources
mSQL infoMini SQLNSDbSiteWhereSphinx
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