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DBMS > Amazon SimpleDB vs. Apache Impala vs. FoundationDB vs. GeoSpock vs. STSdb

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. FoundationDB vs. GeoSpock vs. STSdb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonFoundationDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonSTSdb  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.GeoSpock seems to be discontinued. Therefore it will be excluded 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 ScioreAnalytic DBMS for HadoopOrdered key-value store. Core features are complimented by layers.Spatial and temporal data processing engine for extreme data scaleKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­simpledbimpala.apache.orggithub.com/­apple/­foundationdbgeospock.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmlapple.github.io/­foundationdb
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaFoundationDBGeoSpockSTS Soft SC
Initial release2007201320132011
Current release4.1.0, June 20226.2.28, November 20202.0, September 20194.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java, JavascriptC#
Server operating systemshostedLinuxLinux
OS X
Windows
hostedWindows
Data schemeschema-freeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or datenoyesno infosome layers support typingyesyes 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.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesnotemporal, categoricalno
SQL infoSupport of SQLnoSQL-like DML and DDL statementssupported in specific SQL layer onlyANSI SQL for query only (using Presto)no
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducein SQL-layer onlynono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlynono
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 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.nono
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 roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per tableno

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More resources
Amazon SimpleDBApache ImpalaFoundationDBGeoSpockSTSdb
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