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DBMS > FileMaker vs. Hive vs. Spark SQL vs. SQLite vs. SWC-DB

System Properties Comparison FileMaker vs. Hive vs. Spark SQL vs. SQLite vs. SWC-DB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHive  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.claris.com/­filemakerhive.apache.orgspark.apache.org/­sqlwww.sqlite.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.html
DeveloperClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookApache Software FoundationDwayne Richard HippAlex Kashirin
Initial release19832012201420002020
Current release19.4.1, November 20213.1.3, April 20223.5.0 ( 2.13), September 20233.45.3  (15 April 2024), April 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoPublic DomainOpen Source infoGPL V3
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 languageJavaScalaCC++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
server-lessLinux
Data schemeyesyesyesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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 formatnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infovia pluginsSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedSQL-like query language
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Proprietary protocol
Thrift
Supported programming languagesPHPC++
Java
PHP
Python
Java
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenonono
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.noyesno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesnono

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More resources
FileMakerHiveSpark SQLSQLiteSWC-DB infoSuper Wide Column Database
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