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DBMS > Apache Druid vs. FatDB vs. FileMaker vs. IRONdb vs. RDF4J

System Properties Comparison Apache Druid vs. FatDB vs. FileMaker vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFatDB  Xexclude from comparisonFileMaker  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA .NET NoSQL DBMS that can integrate with and extend SQL Server.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 simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitedruid.apache.orgwww.claris.com/­filemakerwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationdruid.apache.org/­docs/­latest/­designwww.claris.com/­resources/­documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperApache Software Foundation and contributorsFatCloudClaris infoa subsidiary of AppleCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20122012198320172004
Current release29.0.1, April 202419.4.1, November 2021V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialcommercialOpen 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 languageJavaC#C and C++Java
Server operating systemsLinux
OS X
Unix
WindowsiOS infoclient part only
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL for queryingno infoVia inetgration in SQL Serveryes infovia pluginsSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Filemaker WebDirect
JDBC
ODBC
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#PHP.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsyesyes, in Luayes
Triggersnoyes infovia applicationsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factorSource-replica replication, warm standby infosince Version 14configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoCan implement custom security layer via applicationssimple rights management via user accounts and connection to external directory servicesnono

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More resources
Apache DruidFatDBFileMakerIRONdbRDF4J infoformerly known as Sesame
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