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DBMS > Amazon SimpleDB vs. Apache Kylin vs. Spark SQL vs. SQream DB

System Properties Comparison Amazon SimpleDB vs. Apache Kylin vs. Spark SQL vs. SQream DB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Kylin  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  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 ScioreA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteaws.amazon.com/­simpledbkylin.apache.orgspark.apache.org/­sqlsqream.com
Technical documentationdocs.aws.amazon.com/­simpledbkylin.apache.org/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.com
DeveloperAmazonApache Software Foundation, originally contributed from eBay IncApache Software FoundationSQream Technologies
Initial release2007201520142017
Current release3.1.0, July 20203.5.0 ( 2.13), September 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes, ANSI Standard SQL Types
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 automaticallyyesnono
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)SQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions in Python
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyes, utilizing Spark Corehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
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 applicationnoACID
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no

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More resources
Amazon SimpleDBApache KylinSpark SQLSQream DB
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