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DBMS > FileMaker vs. Netezza vs. Spark SQL vs. Splunk

System Properties Comparison FileMaker vs. Netezza vs. Spark SQL vs. Splunk

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSpark SQL  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Data warehouse and analytics appliance part of IBM PureSystemsSpark SQL is a component on top of 'Spark Core' for structured data processingAnalytics Platform for Big Data
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.claris.com/­filemakerwww.ibm.com/­products/­netezzaspark.apache.org/­sqlwww.splunk.com
Technical documentationwww.claris.com/­resources/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperClaris infoa subsidiary of AppleIBMApache Software FoundationSplunk Inc.
Initial release1983200020142003
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux infoincluded in applianceLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 formatnoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infovia pluginsyesSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commands
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
OLE DB
JDBC
ODBC
HTTP REST
Supported programming languagesPHPC
C++
Fortran
Java
Lua
Perl
Python
R
Java
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.nono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesUsers with fine-grained authorization conceptnoAccess rights for users and roles

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More resources
FileMakerNetezza infoAlso called PureData System for Analytics by IBMSpark SQLSplunk
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