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DBMS > Amazon SimpleDB vs. Ehcache vs. Geode vs. Stardog

System Properties Comparison Amazon SimpleDB vs. Ehcache vs. Geode vs. Stardog

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonEhcache  Xexclude from comparisonGeode  Xexclude from comparisonStardog  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 optionsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeKey-value storeKey-value storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteaws.amazon.com/­simpledbwww.ehcache.orggeode.apache.orgwww.stardog.com
Technical documentationdocs.aws.amazon.com/­simpledbwww.ehcache.org/­documentationgeode.apache.org/­docsdocs.stardog.com
DeveloperAmazonTerracotta Inc, owned by Software AGOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Stardog-Union
Initial release2007200920022010
Current release3.10.0, March 20221.1, February 20177.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallynonoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnonoSQL-like query language (OQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsRESTful HTTP APIJCacheJava Client API
Memcached protocol
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infoCache Event Listenersyes infoCache Event Listenersyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infoby using Terracotta ServerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerMulti-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
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 resourceyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights per client and object definableAccess rights for users and roles

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More resources
Amazon SimpleDBEhcacheGeodeStardog
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