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DBMS > Amazon DocumentDB vs. Ehcache vs. IRONdb vs. RDF4J

System Properties Comparison Amazon DocumentDB vs. Ehcache vs. IRONdb vs. RDF4J

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEhcache  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely adopted Java cache with tiered storage optionsA 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 modelDocument storeKey-value storeTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteaws.amazon.com/­documentdbwww.ehcache.orgwww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationaws.amazon.com/­documentdb/­resourceswww.ehcache.org/­documentationdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperTerracotta Inc, owned by Software AGCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2019200920172004
Current release3.10.0, March 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemshostedAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF Schemas
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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JCacheHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java.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 proceduresnonoyes, in Luayes
Triggersnoyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoby using Terracotta Serverconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes infosupports JTA and can work as an XA resourcenoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes 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.yesno
User concepts infoAccess controlAccess rights for users and rolesnonono

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More resources
Amazon DocumentDBEhcacheIRONdbRDF4J infoformerly known as Sesame
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