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DBMS > mSQL vs. Oracle Rdb vs. RethinkDB vs. Spark SQL vs. Sphinx

System Properties Comparison mSQL vs. Oracle Rdb vs. RethinkDB vs. Spark SQL vs. Sphinx

Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitehughestech.com.au/­products/­msqlwww.oracle.com/­database/­technologies/­related/­rdb.htmlrethinkdb.comspark.apache.org/­sqlsphinxsearch.com
Technical documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docs
DeveloperHughes TechnologiesOracle, originally developed by Digital Equipment Corporation (DEC)The Linux Foundation infosince July 2017Apache Software FoundationSphinx Technologies Inc.
Initial release19941984200920142001
Current release4.4, October 20217.4.1.1, 20212.4.1, August 20203.5.0 ( 2.13), September 20233.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree licenses can be providedcommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++ScalaC++
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
HP Open VMSLinux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyesno
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.nononono
Secondary indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesnoSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
TriggersnoClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding inforange basedyes, utilizing Spark CoreSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeAtomic single-document operationsnono
Concurrency infoSupport for concurrent manipulation of datanoyesyes infoMVCC basedyesyes
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.nononono
User concepts infoAccess controlnoyes infousers and table-level permissionsnono

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More resources
mSQL infoMini SQLOracle RdbRethinkDBSpark SQLSphinx
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