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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Bangdb vs. RDFox

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. Bangdb vs. RDFox

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBangdb  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 HBaseConverged and high performance database for device data, events, time series, document and graphHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websiteaws.amazon.com/­documentdbphoenix.apache.orgbangdb.comwww.oxfordsemantic.tech
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.bangdb.comdocs.oxfordsemantic.tech
DeveloperApache Software FoundationSachin Sinha, BangDBOxford Semantic Technologies
Initial release2019201420122017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 20216.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD 3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++
Server operating systemshostedLinux
Unix
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsyes
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 infosecondary, composite, nested, reverse, geospatial
SQL infoSupport of SQLnoyesSQL like support with command line toolno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCProprietary protocol
RESTful HTTP API
RESTful 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#
C++
Java
Python
C
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonoyes, Notifications (with Streaming only)
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm
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
selectable replication factor, Knob for CAP (enterprise version only)replication 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 integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglyImmediate 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 operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency control
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)Roles, resources, and access types

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More resources
Amazon DocumentDBApache PhoenixBangdbRDFox
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