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DBMS > FileMaker vs. KairosDB vs. OrigoDB vs. Spark SQL

System Properties Comparison FileMaker vs. KairosDB vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonKairosDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Distributed Time Series DBMS based on Cassandra or H2A fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.claris.com/­filemakergithub.com/­kairosdb/­kairosdborigodb.comspark.apache.org/­sql
Technical documentationwww.claris.com/­resources/­documentationkairosdb.github.ioorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperClaris infoa subsidiary of AppleRobert Friberg et alApache Software Foundation
Initial release198320132009 infounder the name LiveDB2014
Current release19.4.1, November 20211.2.2, November 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen 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 languageJavaC#Scala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infovia pluginsnonoSQL-like DML and DDL statements
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesPHPJava
JavaScript infoNode.js
PHP
Python
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyesno
Triggersyesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factor infobased on CassandraSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnodepending on modelno
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 persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicessimple password-based access controlRole based authorizationno

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More resources
FileMakerKairosDBOrigoDBSpark SQL
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