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DBMS > Amazon SimpleDB vs. atoti vs. LokiJS vs. Spark SQL

System Properties Comparison Amazon SimpleDB vs. atoti vs. LokiJS vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonatoti  Xexclude from comparisonLokiJS  Xexclude from comparisonSpark SQL  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 ScioreAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.In-memory JavaScript DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeObject oriented DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­simpledbatoti.iogithub.com/­techfort/­LokiJSspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­simpledbdocs.atoti.iotechfort.github.io/­LokiJSspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonActiveViamApache Software Foundation
Initial release200720142014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptScala
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenonoyes
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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyes infovia viewsno
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)noSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJavaScript APIJDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresnoPythonView functions in JavaScriptno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding, horizontal partitioningnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
none
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 applicationno infoatomic operations within a single collection possibleno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
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)nono

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Amazon SimpleDBatotiLokiJSSpark SQL
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