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DBMS > Amazon DocumentDB vs. Oracle NoSQL vs. PostGIS vs. searchxml

System Properties Comparison Amazon DocumentDB vs. Oracle NoSQL vs. PostGIS vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonPostGIS  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesSpatial extension of PostgreSQLDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeDocument store
Key-value store
Relational DBMS
Spatial DBMSNative XML DBMS
Search engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteaws.amazon.com/­documentdbwww.oracle.com/­database/­nosql/­technologies/­nosqlpostgis.netwww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlpostgis.net/­documentationwww.searchxml.net/­support/­handouts
DeveloperOracleinformationpartners gmbh
Initial release2019201120052015
Current release23.3, December 20233.4.2, February 20241.0
License infoCommercial or Open SourcecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemshostedLinux
Solaris SPARC/x86
Windows
Data schemeschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnonouser defined functionsyes infoon the application server
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyes infobased on PostgreSQLyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)with Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsconfigurable infoACID within a storage node (=shard)ACIDmultiple readers, single writer
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.yes infooff heap cachenono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesyes infobased on PostgreSQLDomain, group and role-based access control at the document level and for application services

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More resources
Amazon DocumentDBOracle NoSQLPostGISsearchxml
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