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DBMS > mSQL vs. Oracle vs. PostGIS vs. Sphinx vs. Splice Machine

System Properties Comparison mSQL vs. Oracle vs. PostGIS vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonOracle  Xexclude from comparisonPostGIS  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSWidely used RDBMSSpatial extension of PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSSpatial DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitehughestech.com.au/­products/­msqlwww.oracle.com/­databasepostgis.netsphinxsearch.comsplicemachine.com
Technical documentationdocs.oracle.com/­en/­databasepostgis.net/­documentationsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperHughes TechnologiesOracleSphinx Technologies Inc.Splice Machine
Initial release19941980200520012014
Current release4.4, October 202123c, September 20233.4.2, February 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infofree licenses can be providedcommercial inforestricted free version is availableOpen Source infoGPL v2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++CC++Java
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes infoSchemaless in JSON and XML columnsyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesyes
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infowith proprietary extensionsyesSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoPL/SQL infoalso stored procedures in Java possibleuser defined functionsnoyes infoJava
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningyes infobased on PostgreSQLSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes infobased on PostgreSQLnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be realized in PL/SQLnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoisolation level can be parameterizedACIDnoACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infobased on PostgreSQLnoAccess rights for users, groups and roles according to SQL-standard

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More resources
mSQL infoMini SQLOraclePostGISSphinxSplice Machine
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