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DBMS > Amazon SimpleDB vs. Fujitsu Enterprise Postgres vs. Netezza vs. SAP SQL Anywhere

System Properties Comparison Amazon SimpleDB vs. Fujitsu Enterprise Postgres vs. Netezza vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 ScioreEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Data warehouse and analytics appliance part of IBM PureSystemsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.postgresql.fastware.comwww.ibm.com/­products/­netezzawww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.aws.amazon.com/­simpledbwww.postgresql.fastware.com/­product-manualshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperAmazonPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyIBMSAP infoformerly Sybase
Initial release200720001992
Current releaseFujitsu Enterprise Postgres 14, January 202217, July 2015
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedLinux
Windows
Linux infoincluded in applianceAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.yes
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoyesyesyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
OLE DB
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsyesyes, in C/C++, Java, .Net or Perl
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationpartitioning by range, list and by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBFujitsu Enterprise PostgresNetezza infoAlso called PureData System for Analytics by IBMSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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