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DBMS > Amazon SimpleDB vs. Riak KV vs. Sadas Engine vs. Spark SQL vs. SwayDB

System Properties Comparison Amazon SimpleDB vs. Riak KV vs. Sadas Engine vs. Spark SQL vs. SwayDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  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 ScioreDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteaws.amazon.com/­simpledbwww.sadasengine.comspark.apache.org/­sqlswaydb.simer.au
Technical documentationdocs.aws.amazon.com/­simpledbwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonOpenSource, formerly Basho TechnologiesSADAS s.r.l.Apache Software FoundationSimer Plaha
Initial release20072009200620142018
Current release3.2.0, December 20228.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++ScalaScala
Server operating systemshostedLinux
OS X
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyesno
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallyrestrictedyesnono
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIHTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoErlangnonono
Triggersnoyes infopre-commit hooks and post-commit hooksnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infono "single point of failure"horizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 integritynono infolinks between data sets can be storedyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yes infomanaged by 'Learn by Usage'noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Amazon SimpleDBRiak KVSadas EngineSpark SQLSwayDB
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