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DBMS > Amazon SimpleDB vs. AnzoGraph DB vs. Microsoft Access vs. PostgreSQL

System Properties Comparison Amazon SimpleDB vs. AnzoGraph DB vs. Microsoft Access vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgreSQL  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 ScioreScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­simpledbcambridgesemantics.com/­anzographwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgresql.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdeveloper.microsoft.com/­en-us/­accesswww.postgresql.org/­docs
DeveloperAmazonCambridge SemanticsMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2007201819921989 info1989: Postgres, 1996: PostgreSQL
Current release2.3, January 20211902 (16.0.11328.20222), March 201916.2, February 2024
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercial infoBundled with Microsoft OfficeOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or datenoyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.yes infobut not compliant to any SQL standardyes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infosince Access 2010 using the ACE-engineuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardingnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-ClusternoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBAnzoGraph DBMicrosoft AccessPostgreSQL
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