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DBMS > EXASOL vs. FileMaker vs. IRONdb vs. PouchDB vs. RDF4J

System Properties Comparison EXASOL vs. FileMaker vs. IRONdb vs. PouchDB vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonIRONdb  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityJavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.02
Rank#84  Overall
#46  Relational DBMS
Score52.32
Rank#20  Overall
#13  Relational DBMS
Score0.00
Rank#353  Overall
#33  Time Series DBMS
Score2.86
Rank#100  Overall
#18  Document stores
Score0.66
Rank#217  Overall
#9  RDF stores
Websitewww.exasol.comwww.claris.com/­filemakerwww.circonus.com/­solutions/­time-series-databasepouchdb.comrdf4j.org
Technical documentationwww.exasol.com/­resourceswww.claris.com/­resources/­documentationdocs.circonus.com/­irondbpouchdb.com/­guidesrdf4j.org/­documentation
DeveloperExasolFileMaker infoa subsidiary of AppleCirconus LLC.Apache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20001983201720122004
Current release19.3.1, June 2021V0.10.20, January 20187.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScriptJava
Server operating systemsiOS
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsnoyes
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesnoyes infovia viewsyes
SQL infoSupport of SQLyesyes infovia pluginsSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
PHP.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesyes, in LuaView functions in JavaScriptyes
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodeSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14configurable replication factor, datacenter awareMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesnonono

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More resources
EXASOLFileMakerIRONdbPouchDBRDF4J infoformerly known as Sesame
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