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DBMS > FileMaker vs. GridGain vs. mSQL vs. PostGIS vs. Solr

System Properties Comparison FileMaker vs. GridGain vs. mSQL vs. PostGIS vs. Solr

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGridGain  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPostGIS  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.GridGain is an in-memory computing platform, built on Apache IgnitemSQL (Mini SQL) is a simple and lightweight RDBMSSpatial extension of PostgreSQLA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSSpatial DBMSSearch engine
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.claris.com/­filemakerwww.gridgain.comhughestech.com.au/­products/­msqlpostgis.netsolr.apache.org
Technical documentationwww.claris.com/­resources/­documentationwww.gridgain.com/­docs/­index.htmlpostgis.net/­documentationsolr.apache.org/­resources.html
DeveloperClaris infoa subsidiary of AppleGridGain Systems, Inc.Hughes TechnologiesApache Software Foundation
Initial release19832007199420052006
Current release19.4.1, November 2021GridGain 8.5.14.4, October 20213.4.2, February 20249.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedOpen Source infoGPL v2.0Open Source infoApache Version 2
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 languageJava, C++, .NetCCJava
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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 formatyesnoyesyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infovia pluginsANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesSolr Parallel SQL Interface
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesPHPC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)nouser defined functionsJava plugins
Triggersyesyes (cache interceptors and events)noyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneyes infobased on PostgreSQLSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yes (replicated cache)noneyes infobased on PostgreSQLyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.yesnonoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesSecurity Hooks for custom implementationsnoyes infobased on PostgreSQLyes

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More resources
FileMakerGridGainmSQL infoMini SQLPostGISSolr
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