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

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

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHypertable  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPostGIS  Xexclude from comparisonSolr  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source BigTable implementation based on distributed file systems such as HadoopmSQL (Mini SQL) is a simple and lightweight RDBMSSpatial extension of PostgreSQLA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSWide column storeRelational 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
Score1.27
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/­filemakerhughestech.com.au/­products/­msqlpostgis.netsolr.apache.org
Technical documentationwww.claris.com/­resources/­documentationpostgis.net/­documentationsolr.apache.org/­resources.html
DeveloperClaris infoa subsidiary of AppleHypertable Inc.Hughes TechnologiesApache Software Foundation
Initial release19832009199420052006
Current release19.4.1, November 20210.9.8.11, March 20164.4, October 20213.4.2, February 20249.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial 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 languageC++CCJava
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
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 schemeyesschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyesyesyes 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 formatnoyesyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infovia pluginsnoA 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
C++ API
Thrift
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesPHPC++
Java
Perl
PHP
Python
Ruby
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 proceduresyesnonouser defined functionsJava plugins
Triggersyesnonoyesyes 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 14selectable replication factor on file system levelnoneyes infobased on PostgreSQLyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonospark-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 datanononoACIDoptimistic 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.nonoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesnonoyes infobased on PostgreSQLyes

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More resources
FileMakerHypertablemSQL infoMini SQLPostGISSolr
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