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DBMS > Amazon SimpleDB vs. Hive vs. MonetDB vs. Sqrrl

System Properties Comparison Amazon SimpleDB vs. Hive vs. MonetDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward Scioredata warehouse software for querying and managing large distributed datasets, built on HadoopA relational database management system that stores data in columnsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument 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
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websiteaws.amazon.com/­simpledbhive.apache.orgwww.monetdb.orgsqrrl.com
Technical documentationdocs.aws.amazon.com/­simpledbcwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentation
DeveloperAmazonApache Software Foundation infoinitially developed by FacebookMonetDB BVAmazon infooriginally Sqrrl Data, Inc.
Initial release2007201220042012
Current release3.1.3, April 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes, in SQL, C, Rno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding via remote tablesSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone infoSource-replica replication available in experimental statusselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon SimpleDBHiveMonetDBSqrrl
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