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DBMS > Amazon SimpleDB vs. Ehcache vs. Google Cloud Datastore vs. Lovefield vs. RDF4J

System Properties Comparison Amazon SimpleDB vs. Ehcache vs. Google Cloud Datastore vs. Lovefield vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonLovefield  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA widely adopted Java cache with tiered storage optionsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformEmbeddable relational database for web apps written in pure JavaScriptRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeKey-value storeDocument storeRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score4.64
Rank#68  Overall
#8  Key-value stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteaws.amazon.com/­simpledbwww.ehcache.orgcloud.google.com/­datastoregoogle.github.io/­lovefieldrdf4j.org
Technical documentationdocs.aws.amazon.com/­simpledbwww.ehcache.org/­documentationcloud.google.com/­datastore/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrdf4j.org/­documentation
DeveloperAmazonTerracotta Inc, owned by Software AGGoogleGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20072009200820142004
Current release3.10.0, March 20222.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptJava
Server operating systemshostedAll OS with a Java VMhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyes, details hereyesyes
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 indexesyes infoAll columns are indexed automaticallynoyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)SQL-like query language infovia JavaScript builder patternno
APIs and other access methodsRESTful HTTP APIJCachegRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresnonousing Google App Enginenoyes
Triggersnoyes infoCache Event ListenersCallbacks using the Google Apps EngineUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infoby using Terracotta ServerShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerMulti-source replication using Paxosnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyes infosupports JTA and can work as an XA resourceACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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 infousing MemoryDB
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
Amazon SimpleDBEhcacheGoogle Cloud DatastoreLovefieldRDF4J infoformerly known as Sesame
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