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

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

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonKinetica  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Fully vectorized database across both GPUs and CPUsSpark SQL is a component on top of 'Spark Core' for structured data processingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
RDF store
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
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.claris.com/­filemakerwww.kinetica.comspark.apache.org/­sqlterminusdb.com
Technical documentationwww.claris.com/­resources/­documentationdocs.kinetica.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#
DeveloperClaris infoa subsidiary of AppleKineticaApache Software FoundationDataChemist Ltd.
Initial release1983201220142018
Current release19.4.1, November 20217.1, August 20213.5.0 ( 2.13), September 202311.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ScalaProlog, Rust
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
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 formatnonono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infovia pluginsSQL-like DML and DDL statementsSQL-like DML and DDL statementsSQL-like query language (WOQL)
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesPHPC++
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsnoyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CoreGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Source-replica replicationnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
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 levelnoRole-based access control

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FileMakerKineticaSpark SQLTerminusDB infoformer name was DataChemist
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