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DBMS > MonetDB vs. PostgreSQL vs. Sphinx

System Properties Comparison MonetDB vs. PostgreSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Search engine
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.40
Rank#132  Overall
#65  Relational DBMS
Score620.75
Rank#4  Overall
#4  Relational DBMS
Score6.05
Rank#70  Overall
#8  Search engines
Websitewww.monetdb.orgwww.postgresql.orgsphinxsearch.com
Technical documentationwww.monetdb.org/­Documentationwww.postgresql.org/­docssphinxsearch.com/­docs
DeveloperMonetDB BVPostgreSQL Global Development Group infowww.postgresql.org/­developerSphinx Technologies Inc.
Initial release20041989 info1989: Postgres, 1996: PostgreSQL2001
Current releaseJul2021-SP2, July 202116.0, September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included.
Implementation languageCCC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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.yes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyes infostandard with numerous extensionsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
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 proceduresyes, in SQL, C, Ruser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablespartitioning by range, list and (since PostgreSQL 11) by hashSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.no
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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