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DBMS > EventStoreDB vs. FileMaker vs. Netezza

System Properties Comparison EventStoreDB vs. FileMaker vs. Netezza

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonFileMaker  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelEvent StoreRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitewww.eventstore.comwww.claris.com/­filemakerwww.ibm.com/­products/­netezza
Technical documentationdevelopers.eventstore.comwww.claris.com/­resources/­documentation
DeveloperEvent Store LimitedClaris infoa subsidiary of AppleIBM
Initial release201219832000
Current release21.2, February 202119.4.1, November 2021
License infoCommercial or Open SourceOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemsLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 format
Secondary indexesyesyes
SQL infoSupport of SQLyes infovia pluginsyes
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesPHPC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesUsers with fine-grained authorization concept

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More resources
EventStoreDBFileMakerNetezza infoAlso called PureData System for Analytics by IBM
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