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DBMS > FileMaker vs. Google Cloud Spanner vs. IRONdb vs. RDF4J vs. SWC-DB

System Properties Comparison FileMaker vs. Google Cloud Spanner vs. IRONdb vs. RDF4J vs. SWC-DB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRDF storeWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.claris.com/­filemakercloud.google.com/­spannerwww.circonus.com/solutions/time-series-database/rdf4j.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­spanner/­docsdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperClaris infoa subsidiary of AppleGoogleCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Alex Kashirin
Initial release19832017201720042020
Current release19.4.1, November 2021V0.10.20, January 20180.5, April 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinuxLinux
OS X
Unix
Windows
Linux
Data schemeyesyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyes infovia pluginsyes infoQuery statements complying to ANSI 2011SQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocol
Thrift
Supported programming languagesPHPGo
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
C++
Server-side scripts infoStored proceduresyesnoyes, in Luayesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication with 3 replicas for regional instances.configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
FileMakerGoogle Cloud SpannerIRONdbRDF4J infoformerly known as SesameSWC-DB infoSuper Wide Column Database
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