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DBMS > Amazon DocumentDB vs. Amazon Redshift vs. InterSystems IRIS vs. PostgreSQL

System Properties Comparison Amazon DocumentDB vs. Amazon Redshift vs. InterSystems IRIS vs. PostgreSQL

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceLarge scale data warehouse service for use with business intelligence toolsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational 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
Score1.91
Rank#124  Overall
#22  Document stores
Score15.25
Rank#38  Overall
#23  Relational DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­documentdbaws.amazon.com/­redshiftwww.intersystems.com/­products/­intersystems-iriswww.postgresql.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­redshiftdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.postgresql.org/­docs
DeveloperAmazon (based on PostgreSQL)InterSystemsPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2019201220181989 info1989: Postgres, 1996: PostgreSQL
Current release2023.3, June 202316.4, August 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageCC
Server operating systemshostedhostedAIX
Linux
macOS
Ubuntu
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesdepending on used data modelyes
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.nonoyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesrestrictedyesyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardyesyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesSource-replica replicationSource-replica 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 systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoinformational only, not enforced by the systemyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACID
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DocumentDBAmazon RedshiftInterSystems IRISPostgreSQL
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Amazon DocumentDBAmazon RedshiftInterSystems IRISPostgreSQL
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