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DBMS > FileMaker vs. Firebase Realtime Database vs. Spark SQL vs. TigerGraph

System Properties Comparison FileMaker vs. Firebase Realtime Database vs. Spark SQL vs. TigerGraph

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.claris.com/­filemakerfirebase.google.com/­products/­realtime-databasespark.apache.org/­sqlwww.tigergraph.com
Technical documentationwww.claris.com/­resources/­documentationfirebase.google.com/­docs/­databasespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperClaris infoa subsidiary of AppleGoogle infoacquired by Google 2014Apache Software Foundation
Initial release1983201220142017
Current release19.4.1, November 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinux
OS X
Windows
Linux
Data schemeyesschema-freeyesyes
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 pluginsnoSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesPHPJava
JavaScript
Objective-C
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'noyes
TriggersyesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
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.nono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesyes, based on authentication and database rulesnoRole-based access control

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More resources
FileMakerFirebase Realtime DatabaseSpark SQLTigerGraph
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