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DBMS > FileMaker vs. MonetDB vs. PostgreSQL vs. Spark SQL vs. Tibero

System Properties Comparison FileMaker vs. MonetDB vs. PostgreSQL vs. Spark SQL vs. Tibero

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonMonetDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSpark SQL  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.A relational database management system that stores data in columnsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLSpark SQL is a component on top of 'Spark Core' for structured data processingA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSRelational DBMS
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
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitewww.claris.com/­filemakerwww.monetdb.orgwww.postgresql.orgspark.apache.org/­sqlus.tmaxsoft.com/­products/­tibero
Technical documentationwww.claris.com/­resources/­documentationwww.monetdb.org/­Documentationwww.postgresql.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperClaris infoa subsidiary of AppleMonetDB BVPostgreSQL Global Development Group infowww.postgresql.org/­developerApache Software FoundationTmaxSoft
Initial release198320041989 info1989: Postgres, 1996: PostgreSQL20142003
Current release19.4.1, November 2021Dec2023 (11.49), December 202316.3, May 20243.5.0 ( 2.13), September 20236, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoBSDOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCScalaC and Assembler
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoA http query request can return the data in XML formatyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infovia pluginsyes infoSQL 2003 with some extensionsyes infostandard with numerous extensionsSQL-like DML and DDL statementsyes
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesPHPC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyes, in SQL, C, Ruser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noPersistent Stored Procedure (PSM)
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablespartitioning by range, list and (since PostgreSQL 11) by hashyes, utilizing Spark Corehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14none infoSource-replica replication available in experimental statusSource-replica replication infoother methods possible by using 3rd party extensionsnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono infoplanned for next version
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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FileMakerMonetDBPostgreSQLSpark SQLTibero
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