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DBMS > Amazon SimpleDB vs. Blueflood vs. Realm vs. Spark SQL vs. STSdb

System Properties Comparison Amazon SimpleDB vs. Blueflood vs. Realm vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBlueflood  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  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 ScioreScalable TimeSeries DBMS based on CassandraA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeTime Series DBMSDocument storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#145  Overall
#24  Key-value stores
Score0.11
Rank#350  Overall
#33  Time Series DBMS
Score7.70
Rank#52  Overall
#9  Document stores
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score0.13
Rank#344  Overall
#51  Key-value stores
Websiteaws.amazon.com/­simpledbblueflood.iorealm.iospark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­simpledbgithub.com/­rax-maas/­blueflood/­wikirealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonRackspaceRealm, acquired by MongoDB in May 2019Apache Software FoundationSTS Soft SC
Initial release20072013201420142011
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC#
Server operating systemshostedLinux
OS X
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Windows
Data schemeschema-freepredefined schemeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes infoprimitive types and user defined types (classes)
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
Secondary indexesyes infoAll columns are indexed automaticallynoyesnono
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIHTTP RESTJDBC
ODBC
.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessarynono
Triggersnonoyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infobased on Cassandranoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranonenonenone
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 Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyesnono

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More resources
Amazon SimpleDBBluefloodRealmSpark SQLSTSdb
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