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DBMS > FileMaker vs. Splice Machine vs. SWC-DB

System Properties Comparison FileMaker vs. Splice Machine vs. SWC-DB

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.claris.com/­filemakersplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.claris.com/­resources/­documentationsplicemachine.com/­how-it-works
DeveloperClaris infoa subsidiary of AppleSplice MachineAlex Kashirin
Initial release198320142020
Current release19.4.1, November 20213.1, March 20210.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 formatno
Secondary indexesyesyes
SQL infoSupport of SQLyes infovia pluginsyesSQL-like query language
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
Supported programming languagesPHPC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Server-side scripts infoStored proceduresyesyes infoJavano
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles according to SQL-standard

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More resources
FileMakerSplice MachineSWC-DB infoSuper Wide Column Database
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