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DBMS > FileMaker vs. Kinetica vs. OpenTenBase vs. Spark SQL

System Properties Comparison FileMaker vs. Kinetica vs. OpenTenBase vs. Spark SQL

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonKinetica  Xexclude from comparisonOpenTenBase  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Fully vectorized database across both GPUs and CPUsAn enterprise-level distributed HTAP open source database based on PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.claris.com/­filemakerwww.kinetica.comgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
spark.apache.org/­sql
Technical documentationwww.claris.com/­resources/­documentationdocs.kinetica.comdocs.opentenbase.org
docs.opentenbase.org/­en
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperClaris infoa subsidiary of AppleKineticaOpenAtom Foundation, previously TencentApache Software Foundation
Initial release198320122014
Current release19.4.1, November 20217.1, August 20212.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Scala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
LinuxLinuxLinux
OS X
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 formatnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLyes infovia pluginsSQL-like DML and DDL statementsyesSQL-like DML and DDL statements
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesPHPC++
Java
JavaScript (Node.js)
Python
C
Go
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standardno

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More resources
FileMakerKineticaOpenTenBaseSpark SQL
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