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DBMS > Amazon DynamoDB vs. GeoSpock vs. IBM Db2 vs. PostgreSQL

System Properties Comparison Amazon DynamoDB vs. GeoSpock vs. IBM Db2 vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudSpatial and temporal data processing engine for extreme data scaleCommon in IBM host environments, 2 different versions for host and Windows/LinuxWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsTime Series DBMSDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.63
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.13
Rank#269  Overall
#127  Relational DBMS
Score171.35
Rank#6  Overall
#5  Relational DBMS
Score503.37
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­dynamodbgeospock.comwww.ibm.com/­analytics/­db2www.postgresql.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.geospock.com/­Content/­Home.htmwww.ibm.com/­support/­knowledgecenter/­SSEPGGwww.postgresql.org/­docs/­manuals
DeveloperAmazonGeoSpockIBMPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20121983 infohost version1989 info1989: Postgres, 1996: PostgreSQL
Current release2.0, September 201912.1, October 201612.1, November 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial infofree version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC and C++C
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyestemporal, categoricalyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)yesyes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP APIJDBCADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnonoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infoby integration with AWS Lambdanoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding infoonly with Windows/Unix/Linux Versionpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infowith separate tools (MQ, InfoSphere)Master-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
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 integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACIDACID
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)Access rights for users can be defined per tablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DynamoDBGeoSpockIBM Db2 infoformerly named DB2 or IBM Database 2PostgreSQL
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