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DBMS > Amazon SimpleDB vs. GeoSpock vs. Ignite vs. RDF4J

System Properties Comparison Amazon SimpleDB vs. GeoSpock vs. Ignite vs. RDF4J

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonIgnite  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreSpatial and temporal data processing engine for extreme data scaleApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeRelational DBMSKey-value store
Relational DBMS
RDF store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteaws.amazon.com/­simpledbgeospock.comignite.apache.orgrdf4j.org
Technical documentationdocs.aws.amazon.com/­simpledbapacheignite.readme.io/­docsrdf4j.org/­documentation
DeveloperAmazonGeoSpockApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200720152004
Current release2.0, September 2019Apache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++, Java, .NetJava
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes infoRDF Schemas
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.noyes
Secondary indexesyes infoAll columns are indexed automaticallytemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsRESTful HTTP APIJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
C#
C++
Java
PHP
Python
Ruby
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yes
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per tableSecurity Hooks for custom implementationsno

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More resources
Amazon SimpleDBGeoSpockIgniteRDF4J infoformerly known as Sesame
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