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DBMS > Manticore Search vs. MonetDB vs. PostgreSQL

System Properties Comparison Manticore Search vs. MonetDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.A relational database management system that stores data in columnsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelSearch engineRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument 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
Score0.26
Rank#312  Overall
#21  Search engines
Score1.78
Rank#149  Overall
#69  Relational DBMS
Score634.91
Rank#4  Overall
#4  Relational DBMS
Websitemanticoresearch.comwww.monetdb.orgwww.postgresql.org
Technical documentationmanual.manticoresearch.comwww.monetdb.org/­Documentationwww.postgresql.org/­docs
DeveloperManticore SoftwareMonetDB BVPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201720041989 info1989: Postgres, 1996: PostgreSQL
Current release6.0, February 2023Dec2023 (11.49), December 202316.2, February 2024
License infoCommercial or Open SourceOpen Source infoGPL version 2Open Source infoMozilla Public License 2.0Open Source infoBSD
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 PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageC++CC
Server operating systemsFreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeFixed schemayesyes
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.Can index from XMLyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL 2003 with some extensionsyes infostandard with numerous extensions
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, Ruser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding via remote tablespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera librarynone infoSource-replica replication available in experimental statusSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Manticore SearchMonetDBPostgreSQL
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