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DBMS > Amazon SimpleDB vs. Geode vs. RDFox vs. Sadas Engine

System Properties Comparison Amazon SimpleDB vs. Geode vs. RDFox vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGeode  Xexclude from comparisonRDFox  Xexclude from comparisonSadas Engine  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 ScioreGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHigh performance knowledge graph and semantic reasoning engineSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeKey-value storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websiteaws.amazon.com/­simpledbgeode.apache.orgwww.oxfordsemantic.techwww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­simpledbgeode.apache.org/­docsdocs.oxfordsemantic.techwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Oxford Semantic TechnologiesSADAS s.r.l.
Initial release2007200220172006
Current release1.1, February 20176.0, Septermber 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-freeyes infoRDF schemasyes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallynoyes
SQL infoSupport of SQLnoSQL-like query language (OQL)noyes
APIs and other access methodsRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights per client and object definableRoles, resources, and access typesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon SimpleDBGeodeRDFoxSadas Engine
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