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DBMS > Amazon SimpleDB vs. Geode vs. Postgres-XL vs. Yanza

System Properties Comparison Amazon SimpleDB vs. Geode vs. Postgres-XL vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGeode  Xexclude from comparisonPostgres-XL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is 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 ScioreGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresTime Series DBMS for IoT Applications
Primary database modelKey-value storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score1.99
Rank#133  Overall
#23  Key-value stores
Score0.52
Rank#256  Overall
#117  Relational DBMS
Websiteaws.amazon.com/­simpledbgeode.apache.orgwww.postgres-xl.orgyanza.com
Technical documentationdocs.aws.amazon.com/­simpledbgeode.apache.org/­docswww.postgres-xl.org/­documentation
DeveloperAmazonOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Yanza
Initial release200720022014 infosince 2012, originally named StormDB2015
Current release1.1, February 201710 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMozilla public licensecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 infoXML type, but no XML query functionalityno
Secondary indexesyes infoAll columns are indexed automaticallynoyesno
SQL infoSupport of SQLnoSQL-like query language (OQL)yes infodistributed, parallel query executionno
APIs and other access methodsRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsno
Triggersnoyes infoCache Event Listenersyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone
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
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
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 infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
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 definablefine grained access rights according to SQL-standardno

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More resources
Amazon SimpleDBGeodePostgres-XLYanza
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