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DBMS > FileMaker vs. IBM Db2 Event Store vs. mSQL vs. NSDb vs. PostGIS

System Properties Comparison FileMaker vs. IBM Db2 Event Store vs. mSQL vs. NSDb vs. PostGIS

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNSDb  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Distributed Event Store optimized for Internet of Things use casesmSQL (Mini SQL) is a simple and lightweight RDBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpatial extension of PostgreSQL
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitewww.claris.com/­filemakerwww.ibm.com/­products/­db2-event-storehughestech.com.au/­products/­msqlnsdb.iopostgis.net
Technical documentationwww.claris.com/­resources/­documentationwww.ibm.com/­docs/­en/­db2-event-storensdb.io/­Architecturepostgis.net/­documentation
DeveloperClaris infoa subsidiary of AppleIBMHughes Technologies
Initial release19832017199420172005
Current release19.4.1, November 20212.04.4, October 20213.4.2, February 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial infofree licenses can be providedOpen Source infoApache Version 2.0Open Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CJava, ScalaC
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringyes
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 formatnononoyes
Secondary indexesyesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLyes infovia pluginsyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query languageyes
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesPHPC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
Scala
Server-side scripts infoStored proceduresyesyesnonouser defined functions
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Active-active shard replicationnoneyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutablenoyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardnoyes infobased on PostgreSQL

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More resources
FileMakerIBM Db2 Event StoremSQL infoMini SQLNSDbPostGIS
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