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DBMS > FileMaker vs. HBase vs. Kinetica vs. PostgreSQL

System Properties Comparison FileMaker vs. HBase vs. Kinetica vs. PostgreSQL

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Wide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMS
Time Series 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.claris.com/­filemakerhbase.apache.orgwww.kinetica.comwww.postgresql.org
Technical documentationwww.claris.com/­resources/­documentationhbase.apache.org/­book.htmldocs.kinetica.comwww.postgresql.org/­docs
DeveloperClaris infoa subsidiary of AppleApache Software Foundation infoApache top-level project, originally developed by PowersetKineticaPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release1983200820121989 info1989: Postgres, 1996: PostgreSQL
Current release19.4.1, November 20212.3.4, January 20217.1, August 202116.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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 formatnonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infovia pluginsnoSQL-like DML and DDL statementsyes infostandard with numerous extensions
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesPHPC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyes infoCoprocessors in Javauser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
Source-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
FileMakerHBaseKineticaPostgreSQL
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