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DBMS > Amazon SimpleDB vs. GigaSpaces vs. PlanetScale vs. Prometheus

System Properties Comparison Amazon SimpleDB vs. GigaSpaces vs. PlanetScale vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonPlanetScale  Xexclude from comparisonPrometheus  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 ScioreHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable, distributed, serverless MySQL database platform built on top of VitessOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.gigaspaces.complanetscale.comprometheus.io
Technical documentationdocs.aws.amazon.com/­simpledbdocs.gigaspaces.com/­latest/­landing.htmlplanetscale.com/­docsprometheus.io/­docs
DeveloperAmazonGigaspaces TechnologiesPlanetScale
Initial release2007200020202015
Current release15.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGoGo
Server operating systemshostedLinux
macOS
Solaris
Windows
Docker
Linux
macOS
Linux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesNumeric data only
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.no infoXML can be used for describing objects metadatano infoImport of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallyyesyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes infoproprietary syntaxno
Triggersnoyes, event driven architectureyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency across shards
Immediate Consistency within a shard
none
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Amazon SimpleDBGigaSpacesPlanetScalePrometheus
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