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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Oracle NoSQL vs. RDFox

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Oracle NoSQL vs. RDFox

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeRelational DBMSDocument store
Key-value store
Relational DBMS
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­documentdbphoenix.apache.orgwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.oxfordsemantic.tech
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.oxfordsemantic.tech
DeveloperApache Software FoundationOracleOxford Semantic Technologies
Initial release2019201420112017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201924.1, May 20246.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedLinux
Unix
Windows
Linux
Solaris SPARC/x86
Linux
macOS
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCRESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
C
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Electable source-replica replication per shard. Support distributed global deployment with Multi-region table featurereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infooff heap cacheyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesRoles, resources, and access types

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More resources
Amazon DocumentDBApache PhoenixOracle NoSQLRDFox
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