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

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

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFileMaker  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Spark 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 modelDocument store
Key-value store
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.claris.com/­filemakerspark.apache.org/­sqlterminusdb.com
Technical documentationwww.claris.com/­resources/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#
DeveloperFatCloudClaris infoa subsidiary of AppleApache Software FoundationDataChemist Ltd.
Initial release2012198320142018
Current release19.4.1, November 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#ScalaProlog, Rust
Server operating systemsWindowsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryes infovia pluginsSQL-like DML and DDL statementsSQL-like query language (WOQL)
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#PHPJava
Python
R
Scala
JavaScript
Python
Server-side scripts infoStored proceduresyes infovia applicationsyesnoyes
Triggersyes infovia applicationsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark CoreGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14noneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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.no
User concepts infoAccess controlno infoCan implement custom security layer via applicationssimple rights management via user accounts and connection to external directory servicesnoRole-based access control

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FatDBFileMakerSpark SQLTerminusDB infoformer name was DataChemist
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