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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. DataFS vs. TerminusDB

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. DataFS vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDataFS  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeRelational DBMSObject oriented DBMSGraph DBMS
Secondary database modelsGraph DBMSDocument store
RDF store
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
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgnewdatabase.comterminusdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdev.mobiland.com/­Overview.xspterminusdb.github.io/­terminusdb/­#
DeveloperApache Software FoundationMobiland AGDataChemist Ltd.
Initial release2019201420182018
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.1.263, October 202211.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, Rust
Server operating systemshostedLinux
Unix
Windows
WindowsLinux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLnoyesnoSQL-like query language (WOQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC.NET Client API
Proprietary client DLL
WinRT client
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
VB.Net
JavaScript
Python
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnonono, except callback-events from server when changes happenedyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingProprietary Sharding systemGraph Partitioning
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
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyes
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 infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyWindows-ProfileRole-based access control

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More resources
Amazon DocumentDBApache PhoenixDataFSTerminusDB infoformer name was DataChemist
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