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DBMS > Amazon DocumentDB vs. Amazon Redshift vs. Derby vs. Microsoft Azure AI Search vs. PostgreSQL

System Properties Comparison Amazon DocumentDB vs. Amazon Redshift vs. Derby vs. Microsoft Azure AI Search vs. PostgreSQL

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonMicrosoft Azure AI Search  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 toolsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Search-as-a-service for web and mobile app developmentWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMSRelational DBMSSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsVector DBMSDocument 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#131  Overall
#24  Document stores
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websiteaws.amazon.com/­documentdbaws.amazon.com/­redshiftdb.apache.org/­derbyazure.microsoft.com/­en-us/­services/­searchwww.postgresql.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.aws.amazon.com/­redshiftdb.apache.org/­derby/­manuals/­index.htmllearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docs
DeveloperAmazon (based on PostgreSQL)Apache Software FoundationMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20192012199720151989 info1989: Postgres, 1996: PostgreSQL
Current release10.17.1.0, November 2023V116.3, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC
Server operating systemshostedhostedAll OS with a Java VMhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesrestrictedyesyesyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardyesnoyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
JDBCRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBCJavaC#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin PythonJava Stored Proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoImplicit feature of the cloud servicepartitioning 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 replicationyes infoImplicit feature of the cloud serviceSource-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)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoinformational only, not enforced by the systemyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBAmazon RedshiftDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBMicrosoft Azure AI SearchPostgreSQL
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