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DBMS > FileMaker vs. Hive vs. Spark SQL vs. YottaDB

System Properties Comparison FileMaker vs. Hive vs. Spark SQL vs. YottaDB

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHive  Xexclude from comparisonSpark SQL  Xexclude from comparisonYottaDB  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 processingA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.claris.com/­filemakerhive.apache.orgspark.apache.org/­sqlyottadb.com
Technical documentationwww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmlyottadb.com/­resources/­documentation
DeveloperClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookApache Software FoundationYottaDB, LLC
Initial release1983201220142001
Current release19.4.1, November 20213.1.3, April 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Docker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 formatnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes infovia pluginsSQL-like DML and DDL statementsSQL-like DML and DDL statementsby using the Octo plugin
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesPHPC++
Java
PHP
Python
Java
Python
R
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesnoUsers and groups based on OS-security mechanisms

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More resources
FileMakerHiveSpark SQLYottaDB
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