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DBMS > Amazon SimpleDB vs. Greenplum vs. Pinecone vs. PostgreSQL

System Properties Comparison Amazon SimpleDB vs. Greenplum vs. Pinecone vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonGreenplum  Xexclude from comparisonPinecone  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 ScioreAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A managed, cloud-native vector databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value storeRelational DBMSVector 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
Spatial DBMS
Document 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
Score1.88
Rank#133  Overall
#23  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­simpledbgreenplum.orgwww.pinecone.iowww.postgresql.org
Technical documentationdocs.aws.amazon.com/­simpledbdocs.greenplum.orgdocs.pinecone.io/­docs/­overviewwww.postgresql.org/­docs
DeveloperAmazonPivotal Software Inc.Pinecone Systems, IncPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2007200520191989 info1989: Postgres, 1996: PostgreSQL
Current release7.0.0, September 202316.3, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedLinuxhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesString, Number, Booleanyes
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 infosince Version 4.2noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnoyesnoyes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP APIADO.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
Perl
Python
R
Python.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID
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.nonono
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-standardfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBGreenplumPineconePostgreSQL
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